Patent Publication Number: US-11647533-B2

Title: Device, system and method for dynamically adjusting a queue structure and message sequencing

Description:
BACKGROUND 
     Wireless communication infrastructure for transmitting signaling messages on a control channel is generally performed via a queue having a predefined structure, for example at individual base stations (e.g. of a cell site and/or wireless communication site), and the like. 
    
    
     
       BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS 
       In the accompanying figures similar or the same reference numerals may be repeated to indicate corresponding or analogous elements. These figures, together with the detailed description, below are incorporated in and form part of the specification and serve to further illustrate various embodiments of concepts that include the claimed invention, and to explain various principles and advantages of those embodiments. 
         FIG.  1    is a system for dynamically adjusting a queue structure and message sequencing in accordance with some examples. 
         FIG.  2    depicts example communication devices in according with some embodiments. 
         FIG.  3    is a flowchart of a method for dynamically adjusting a queue structure and message sequencing in accordance with some examples. 
         FIG.  4    depicts aspects of an example of a method for dynamically adjusting a queue structure and message sequencing implemented in the system of  FIG.  1   . 
         FIG.  5    depicts further aspects of an example of a method for dynamically adjusting a queue structure and message sequencing implemented in the system of  FIG.  1   . 
     
    
    
     Skilled artisans will appreciate that elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions of some of the elements in the figures may be exaggerated relative to other elements to help improve understanding of embodiments of the present disclosure. 
     The system, apparatus, and method components have been represented where appropriate by conventional symbols in the drawings, showing only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the disclosure with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein. 
     DETAILED DESCRIPTION 
     Wireless communication infrastructure for transmitting signaling messages on a control channel is generally performed via a queue having a predefined structure, for example at individual base stations (e.g. of a cell site and/or wireless communication site), and the like. However, traffic priority can change over time, in particular for wireless communication devices used by public safety personnel, first responders, and the like. For example, an incident may occur that causes messaging traffic of given types to increase, such as voice traffic, and an existing queue for transmitting signaling messages on a control channel, with a predefined structure, may not be adequately reflect a current state of messaging traffic. For example, a need for voice traffic may increase, but the queue may be transmitting signaling messages which schedule time slots (e.g. in a time-division multiple access (TDMA) network) for voice messages at a fixed rate. Similarly, in other situations, at a site, a number of edge devices which are enabled to communicate via data, but are not enabled to communicate via voice, may increase, or vice versa, but the queue may be transmitting signaling messages which schedule time slots for data and/or voice messages at a fixed rate. 
     Hence, provided herein is a computing device which manages outbound signaling messages on one or more control channels, the computing device adapted to receive, from one or more edge devices receiving the outbound signaling messages, rankings of previously transmitted outbound signaling messages. Hence, the edge devices are adapted to rank such received outbound signaling messages (e.g. outbound signaling messages refer to signaling messages transmitted to the edge devices) and transmit the rankings to the computing device. Rankings may be based on usefulness and/or effectiveness of received outbound signaling messages. For example, usefulness may be understood herein as whether, or not, an edge device undergoes a change in state due to a received outbound signaling message, and/or whether, or not, an edge device uses data from an outbound signaling message; and effectiveness may be understood herein as timeliness of a received outbound signaling message and/or a lateness of a received outbound signaling message, and the like. 
     The computing device receives the rankings, and generally causes one or more of a queue structure and a message sequence of the outbound signaling messages to be adjusted based on the rankings. As such, the computing device may cause transmitting, to the one or more edge devices, the outbound signaling messages according to one or more of the queue structure and the message sequence, as adjusted. 
     For example, new outbound signaling messages may be assigned a priority at the computing device (and/or a computing device of a site at which a queue is located) based on the rankings. For example, new outbound signaling messages that are of a similar type, as relatively higher ranked previously transmitted outbound signaling messages, may be assigned a higher priority than new outbound signaling messages that are of a similar type as relatively lower ranked previously transmitted outbound signaling messages. 
     The computing device may the adjust the queue structure and/or a message sequence on a control channel such that repeats of relatively higher priority outbound signaling messages increase and/or repeats of relatively lower priority outbound signaling messages decrease and/or are offloaded to a communication path different from the control channel. 
     The computing device may include, but is not limited to, a fixed network enterprise (FNE) device and/or a communication infrastructure device and/or a cloud computing device and/or a base station device, and the like. The edge devices may include mobile devices and/or portable devices and/or subscriber devices of the same network of which the computing device is a component and/or the edge devices may be roaming to the network. 
     An aspect of the specification provides method comprising: receiving, at a computing device managing outbound signaling messages on one or more control channels, from one or more edge devices receiving the outbound signaling messages on the one or more control channels, rankings of previously transmitted outbound signaling messages; adjusting, at the computing device, one or more of a queue structure and a message sequence of the outbound signaling messages based on the rankings; and transmitting, from the computing device, to the one or more edge devices, the outbound signaling messages according to one or more of the queue structure and the message sequence, as adjusted. 
     Another aspect of the present specification provides a device comprising: a communication unit; and a controller communicatively coupled to the communication unit, the controller configured to: receive, via the communication unit, from one or more edge devices receiving outbound signaling messages on one or more control channels, rankings of previously transmitted outbound signaling messages; adjust one or more of a queue structure and a message sequence of the outbound signaling messages based on the rankings; and transmit, via the communication unit, to the one or more edge devices, the outbound signaling messages according to one or more of the queue structure and the message sequence, as adjusted. 
     Each of the above-mentioned examples will be discussed in more detail below, starting with example system and device architectures of the system in which the embodiments may be practiced, followed by an illustration of processing blocks for achieving an improved technical method, device, and system for dynamically adjusting a queue structure and message sequencing 
     Example embodiments are herein described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to example embodiments. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a special purpose and unique machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. The methods and processes set forth herein need not, in some embodiments, be performed in the exact sequence as shown and likewise various blocks may be performed in parallel rather than in sequence. Accordingly, the elements of methods and processes are referred to herein as “blocks” rather than “steps.” 
     These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks. 
     The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus that may be on or off-premises, or may be accessed via the cloud in any of a software as a service (SaaS), platform as a service (PaaS), or infrastructure as a service (IaaS) architecture so as to cause a series of operational blocks to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide blocks for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. It is contemplated that any part of any aspect or embodiment discussed in this specification can be implemented or combined with any part of any other aspect or embodiment discussed in this specification. 
     Further advantages and features consistent with this disclosure will be set forth in the following detailed description, with reference to the drawings. 
     Attention is directed to  FIG.  1   , which depicts a system  100  for dynamically adjusting a queue structure and message sequencing. The various components of the system  100  are in communication via any suitable combination of wired and/or wireless communication links, and communication links between components of the system  100  are depicted in  FIG.  1   , and throughout the present specification, as double-ended arrows between respective components; the communication links may include any suitable combination of wireless and/or wired links and/or wireless and/or wired communication networks, and the like. 
     While present examples are described with respect to a computing device and mobile devices and/or edge devices associated with a public-safety entity (e.g., such as a police department, and the like), computing devices and edge devices associated with other types of entities, and/or consumer computing devices and/or edge devices, may leverage a same or similar technique as described herein. For example, computing devices and/or edge devices associated with a warehousing entity, a construction entity, a service industry entity, and/or a consumer entity, such as a consumer and/or commercial network provider, and the like, may implement same and/or similar techniques as described herein. 
     Herein, the terms “traffic” and/or “messages” are understood to refer to messages exchanged on communication channels and/or talkgroups between edge devices and/or mobile devices. In contrast, the terms “signaling messages” and/or “outbound signaling messages” are understood to refer to control messages, and the like, transmitted from a site, to the edge devices and/or mobile devices, on a control channel, which generally control scheduling of time slots and/or signaling for transmission of the traffic and/or messages exchanged on the communication channels and/or the talkgroups between edge devices and/or mobile devices, and the like (e.g. outbound signaling messages are understood to be outbound from a site and/or base station to edge devices and/or mobile devices). Similarly, “inbound signaling messages” are understood to refer to control messages, and the like, transmitted from edge devices and/or mobile devices to a base station, on a control channel, which generally request time slots for transmitting voice data and/or data traffic and the like (e.g. inbound signaling messages are understood to be inbound to a site and/or base station from edge devices and/or mobile devices). 
     Similarly, the term “control channel” as used herein is understood to be a communication channel on which the signaling messages (e.g. outbound and/or inbound signaling messages) are transmitted, which may be similar to, or different from, the communication channels and/or talkgroups on which traffic and/or messages are exchanged between edge devices and/or mobile devices. 
     Hence, edge devices and/or mobile devices described herein are understood to communicate via channels and/or communication channels, including, but not limited to, talkgroups. Indeed, the term “channel” and/or “communication channel”, as used herein, includes, but is not limited to, a physical radio-frequency (RF) communication channel, a logical radio-frequency communication channel, a trunking talkgroup (interchangeably referred to herein a “talkgroup”), a trunking announcement group, a VOIP (Voice-over-internet-protocol) communication path, a push-to-talk channel, and the like. Indeed, groups of channels may be logically organized into talkgroups, and/or dynamically allocated into talkgroups, though channels in a talkgroup may be dynamic as the traffic (e.g. communications) in a talkgroup may increase or decrease, and channels assigned to the talkgroup may be adjusted accordingly. Hence, calls and/or communications and/or traffic herein may include, but are not limited to, push-to-talk (PTT) calls, VOIP calls, cell phone calls, and the like. 
     The system  100  is next described in detail. 
     The system  100  comprises a computing device  101  configured to manage outbound signaling messages on one or more control channels. For example, as depicted the system  100  comprises a site and/or base station  103  (e.g. including, but not limited to, a cellular site and/or base station and/or eNodeB site) that includes a wireless antenna  105  and a queue device  107  that operates a signaling message queue  109  (interchangeably referred to hereafter as the queue  109 ). The queue device  107  generally generates and transmits outbound signaling messages  111  (interchangeably referred to hereafter as the signaling messages  111 ) on a control channel  113  (e.g. which may include, one or more control channels) by sequencing the signaling messages  111  into the queue  109  which may include, but is not limited to, sequencing repeats of the signaling messages  111  in the queue  109 . The queue device  107  may implement any other suitable functionality of the base station  103 ; for example, the queue device  107  may generally comprise a computing device which manages and/or performs any suitable functionality of the base station  103 , including, but not limited to, sequencing the signaling messages  111  into the queue  109 , managing traffic between edge devices of the system  100 , amongst other possibilities. 
     In general, the computing device  101  may comprise one or more servers and/or one or more cloud computing devices, one or more FNE devices and/or a communication infrastructure device and/or one or more cloud computing devices and/or one or more base station devices, and the like. In particular examples, the computing device  101  may be combined with the queue device  107  such that the computing device  101  is located at the base station  103 . However, the computing device  101  may be in communication with a plurality of sites and/or base stations, including, but not limited to, the base station  103 , and manage respective queues thereof. Regardless, it is understood that computing device  101  generally manages outbound signaling messages on one or more control channels, including, but not limited to, the control channel  113 . 
     The system  100  further comprises a plurality of edge devices  115 - 1 ,  115 - 2  . . .  115 -N, (interchangeably referred to hereafter, collectively, as the edge devices  115  and, generically, as an edge device  115 ; this convention will be used throughout the present specification). 
     The queue device  107  generally transmits the signaling messages  111  to the edge devices  115  on the control channel  113  based on the structure of the queue  109 , described in more detail below with respect to  FIG.  4    and  FIG.  5   . While not depicted, the edge devices  115  may transmit inbound signaling messages on the control channel  113  (e.g. and/or another control channel) to the base station  103 , for example based on a time slot schedule transmitted via the signaling messages  111 . 
     While not depicted, the edge devices  115  further communicate via channels, for example to transmit voice traffic and/or data traffic, and/or any other suitable traffic, to each other (e.g. and/or other edge devices  115  at other sites and/or base stations). In general, the signaling messages  111  control scheduling for traffic and/or time slots, and the like, of data exchanged between the edge devices  115  on the channels. 
     While three edge devices  115  are depicted (e.g. “N”=3), the system  100  may comprise as few as two edge devices  115  and/or as many as tens to hundred to thousands of edge devices  115 , which may be communicating on channels and/or talkgroups via the base station  103 , and/or other base stations in wired and/or wireless communication with the base station  103 . In particular the control channel  113  and communication channels are understood to comprise wireless channels of a wireless communication network, the base station  103  may be a component of such a network. 
     As depicted, the edge devices  115  may include mobile devices and/or portable devices and/or subscriber devices associated with a same network of which the base station  103  is a component (e.g. one or more the edge devices  115  may not be roaming), and/or one or more of the edge devices  115  may be roaming to such a network. In some examples, an edge device  115  may comprise a vehicle communication device (e.g. a radio installed in a vehicle), while in other examples an edge device  115  may comprise a communication fixed device, including, but not limited to, a dispatch radio operated by a dispatcher dispatching first responders to incidents. 
     Furthermore, while not depicted, one or more of the edge devices  115  may be operated by public safety personnel and/or first responders, such as police officers, firefighters, emergency medical technician, and the like; in these examples, the edge devices  115  may be communicating on a network dedicated to public safety personnel (e.g. such as a P25 network and/or a TDMA network, and the like) and/or a consumer and/or commercial network (e.g. such as a commercial broadband network). However, in other examples, or more of the edge devices  115  may be operated by employees of commercial entities and/or consumers, and communicating on a network operated by such commercial entities, and/or a consumer and/or commercial network. 
     In yet further examples, the edge devices  115  and/or the computing device  101  may be configured to communicate on more than one type of network; for example, the edge devices  115  and/or the computing device  101  may be communicating on a network dedicated to public safety personnel (e.g. such as a P25 network, of which the base station  103  is a component), and on broadband networks (e.g. via other base stations, not depicted and/or the base station  103  may include components for communicating on more than one type of network). Hence, the edge devices  115  and/or the computing device  101  (and alternatively the base station  103 ) may be configured to communicate via different communication paths (e.g. which are understood to include, but are not limited to, communication links on different networks). 
     In some examples, an edge device  115  may have specific functionality that limits certain types of traffic and/or an edge device  115  may be dedicated and/or primary dedicated, to certain types of traffic. For example, one or more of the edge devices  115  may be primarily for voice traffic, such as dedicated PTT radios, and the like. Similarly, one or more of the edge devices  115  may be primarily for data traffic, such as a messaging device and/or a pager, and the like. 
     Furthermore, a number of edge devices  115  in the system  100  may change over time and/or types of traffic being exchanged on the channels between the edge devices  115  may change over time. For example, a public-safety incident, such a car accident, and the like, may occur and first responders operating the edge devices  115  may coordinate a response to the public-safety incident by exchanging voice traffic using the edge devices  115 , causing an increase in voice traffic. Hence, a structure of the queue  109  and/or a sequence of signaling messages  111  in the queue  109  may not be suitable for such a change in traffic. 
     Hence, as depicted, the edge devices  115  comprise respective ranking engines  117 - 1 ,  117 - 2  . . .  117 -N (e.g. ranking engines  117  and/or a ranking engine  117 ) which rank signaling messages  111  received at the edge devices  115  and provides such rankings  119  to the computing device  101 , for example via any suitable communication link and/or communication channel  121 . While only one group of rankings  119  is depicted in  FIG.  1   , it is understood that the edge devices  115  generate and transmit respective rankings  119 . While for simplicity the communication channel  121  is depicted as being between the edge devices  115  and the computing device  101 , it is understood that the communication channel  121  may be via the base station  103  and may include, but is not limited to, the control channel  113 , another channel operated the base station  103  and/or a communication path different from channels operated by the base station  103 . 
     The term engines, as used herein is understood to include a combination of hardware and software which implements a given functionality. For example, the ranking engines  117  may comprise a combination of a hardware processor and/or controller of a respective edge device  115  which ranks the signaling messages  111  and provides such rankings  119  to the computing device  101 . 
     Hence, the edge devices  115  are generally configured to receive and rank the signaling messages  111 , and provide and/or transmit such rankings  119  (e.g. via the ranking engines  117 ) to the computing device  101 , for example via the communication channel  121 . 
     In general, ranking engines  117  may generate the rankings  119  by ranking the signaling messages  111  according to one or more of usefulness and effectiveness thereof. 
     For example, usefulness may be understood herein as a rating and/or a value and/or an indicator that indicates whether, or not, an edge device  115  undergoes a change in state due to a received outbound signaling message  111 , and/or whether, or not, an edge device  115  uses data from an outbound signaling message  111 . 
     In a particular example, a given signaling message  111  may be to provide an identifier of channel on which a given edge device  115  is going to transmit a PTT voice message, and other given signaling messages  111  may repeat the same information. When other edge devices  115  first receive the given signaling message  111 , respective ranking engines  117  may rank the given signaling message  111  as being useful, for example according to any numerical ranking scheme, including, but not limited to, a numerical ranking scheme that rates signaling messages  111  on a scale of 1 to 10, and the like. However, when repeats of the given signaling message  111  are received at the other edge devices  115 , the respective ranking engines  117  may rank the repeats of the given signaling message  111  as being less useful. Hence, for example, the given signaling message  111  may be initially ranked as “10” on a scale of 1 to 10, and repeats of the given signaling message  111  may be ranked lower than “10” on such a scale; the usefulness of repeats of the given signaling message  111  may decrease as a number of received repeats of the given signaling message increases. 
     In another examples, given signaling messages  111  may comprise identifier signaling messages  111  (e.g. “IDEN” signaling message types of a TDMA network), and repeats thereof, which identifies a network of which the base station  103  is a component. A ranking engine  117  of a roaming edge device  115 , initially receiving such an identifier signaling message  111  may rank the identifier signaling message  111  as relatively high with respect to usefulness, as the roaming edge device  115  may use an initially received identifier signaling message  111  to register with the network; however, as repeats of an identifier signaling messages  111  are received, a ranking engine  117  of a roaming edge device  115  may rank such repeats as relatively lower. Similarly, ranking engines  117  of non-roaming edge devices  115 , which have previously registered with the network may rank identifier signaling messages  111  as relatively lower with respect to usefulness. 
     Effectiveness may be understood herein as a rating and/or a value and/or an indicator that indicates timeliness of a received outbound signaling message  111  and/or a lateness, and the like, of a received outbound signaling message  111 , and the like. 
     In a particular example, a first edge device  115  may request a time slot for a call to transmit voice traffic (e.g. via a request to “call” other edge devices  115  using an inbound signaling message transmitted to the base station  103  on the control channel  113 , for example when a PTT button at the edge device  115  is actuated), and a call grant signaling message  111  may grant such a call request. In one example, the call grant signaling message  111  may comprise an identifier of the first edge device  115  that requested the call, as well as a schedule for the time slot for the call. The call grant signaling message  111  is understood to be received by other edge devices  115  so that they may receive voice traffic from the edge device  115  in the time slot on the call. However, there may be a delay in receiving the call grant signaling message  111  at a second edge device  115  (e.g. different from the first edge device  115 ), such that the second edge device  115  joins the “call” late. As such, a ranking engine  117  at the second edge device  115  may rank the call grant signaling message  111  as being relatively low with respect to effectiveness, again according to any suitable ranking system. However, the second edge device  115  may rank the call grant signaling message  111  as being relatively high with respect to usefulness. 
     Hence, a given signaling message  111  may be ranked by a ranking engine  117  according to usefulness and/or effectiveness, and/or according to a weighting scheme which combines such rankings. For example, a late received call grant signaling message  111  may be ranked high for usefulness but low for effectiveness, but the usefulness ranking may be higher weighted than the effectiveness ranking (e.g. a usefulness rating for a given signaling message  111  may be weighted at 75%, and an effectiveness rating for the given signaling message  111  may be weighted at 25%, amongst other possibilities). Hence, in these examples, a ranking  119  for a given signaling message  111  may comprise a combined weighted ranking as to usefulness and effectiveness thereof. 
     However a ranking  119  for a given signaling message  111  may comprise a combination that includes both a usefulness ranking and an effectiveness ranking (e.g. distinct from each other). 
     Regardless, the computing device  101  receives the rankings  119  according to any suitable scheme implemented by the ranking engines  117  and the computing device  101  is generally configured to process and/or analyze the rankings  119  according to a same and/or similar scheme. 
     Regardless, the computing device  101  receives the rankings  119  (e.g. which are understood to be rankings of previously transmitted outbound signaling messages  111 ) and adjusts the queue  109  based on the rankings  119 , as described in more detail below. 
     Attention is next directed to  FIG.  2   , which depicts a schematic block diagram of an example of the computing device  101 . As has already been mentioned, in general, the computing device  101  may comprise one or more servers and/or one or more cloud computing devices, one or more FNE devices and/or a communication infrastructure device and/or one or more cloud computing devices and/or one or more base station devices, and the like. In particular examples, the computing device  101  may be combined with the queue device  107  such that the computing device  101  is located at the base station  103 . However, the computing device  101  may be in communication with a plurality of sites and/or base stations, including, but not limited to, the base station  103 , and manage respective queues thereof. Regardless, it is understood that computing device  101  generally manages outbound signaling messages on one or more control channels, including, but not limited to, the control channel  113 . 
     As depicted, the computing device  101  comprises: a communication unit  202 , a processing unit  203 , a Random-Access Memory (RAM)  204 , one or more wireless transceivers  208 , one or more wired and/or wireless input/output (I/O) interfaces  209 , a combined modulator/demodulator  210 , a code Read Only Memory (ROM)  212 , a common data and address bus  217 , a controller  220 , and a static memory  222  storing at least one application  223 . Hereafter, the at least one application  223  will be interchangeably referred to as the application  223 . 
     While not depicted, the computing device  101  may include one or more of an input device and a display screen and the like, a microphone (e.g., to receive voice commands) such that a user (e.g., an administrator of the system  100 ), may interact with the computing device  101 . The computing device  101  may include any other suitable components. 
     As shown in  FIG.  2   , the computing device  101  includes the communication unit  202  communicatively coupled to the common data and address bus  217  of the processing unit  203 . 
     The processing unit  203  may include the code Read Only Memory (ROM)  212  coupled to the common data and address bus  217  for storing data for initializing system components. The processing unit  203  may further include the controller  220  coupled, by the common data and address bus  217 , to the Random-Access Memory  204  and the static memory  222 . 
     The communication unit  202  may include one or more wired and/or wireless input/output (I/O) interfaces  209  that are configurable to communicate with the base station  103 , the queue device  107 , and/or the edge devices  115 . For example, the communication unit  202  may include one or more transceivers  208  and/or wireless transceivers for communicating with the base station  103 , the queue device  107 , and/or the edge devices  115 , and/or any other suitable component of the system  100 . Hence, the one or more transceivers  208  may be adapted for communication with one or more communication networks used to communicate with the base station  103 , the queue device  107 , and/or the edge devices  115 , and/or any other suitable component of the system  100 . For example, the one or more transceivers  208  may be adapted for communication with one or more of the Internet, a digital mobile radio (DMR) network, a Project 25 (P25) network, a terrestrial trunked radio (TETRA) network, a Bluetooth network, a Wi-Fi network, for example operating in accordance with an IEEE 802.11 standard (e.g., 802.11a, 802.11b, 802.11g), an LTE (Long-Term Evolution) network and/or other types of GSM (Global System for Mobile communications) and/or 3GPP (3 rd  Generation Partnership Project) networks, a 5G network (e.g., a network architecture compliant with, for example, the 3GPP TS 23 specification series and/or a new radio (NR) air interface compliant with the 3GPP TS 38 specification series) standard), a Worldwide Interoperability for Microwave Access (WiMAX) network, for example operating in accordance with an IEEE 802.16 standard, and/or another similar type of wireless network. Hence, the one or more transceivers  208  may include, but are not limited to, a cell phone transceiver, a DMR transceiver, P25 transceiver, a TETRA transceiver, a 3GPP transceiver, an LTE transceiver, a GSM transceiver, a 5G transceiver, a Bluetooth transceiver, a Wi-Fi transceiver, a WiMAX transceiver, and/or another similar type of wireless transceiver configurable to communicate via a wireless radio network. 
     The communication unit  202  may optionally include one or more wireline transceivers  208 , such as an Ethernet transceiver, a USB (Universal Serial Bus) transceiver, or similar transceiver configurable to communicate via a twisted pair wire, a coaxial cable, a fiber-optic link, or a similar physical connection to a wireline network. The transceiver  208  is also coupled to a combined modulator/demodulator  210 . 
     The controller  220  may include ports (e.g., hardware ports) for coupling to other hardware components. 
     The controller  220  may include one or more logic circuits, one or more processors, one or more microprocessors, and/or the controller  220  may include one or more ASIC (application-specific integrated circuits) and one or more FPGA (field-programmable gate arrays), and/or another electronic device. In some examples, the controller  220  and/or the computing device  101  is not a generic controller and/or a generic device, but a device specifically configured to implement functionality for dynamically adjusting a queue structure and message sequencing. For example, in some examples, the computing device  101  and/or the controller  220  specifically comprises a computer executable engine configured to implement functionality for dynamically adjusting a queue structure and message sequencing. 
     The static memory  222  is a non-transitory machine readable medium that stores machine readable instructions to implement one or more programs or applications. Example machine readable media include a non-volatile storage unit (e.g., Erasable Electronic Programmable Read Only Memory (“EEPROM”), Flash Memory) and/or a volatile storage unit (e.g., random-access memory (“RAM”)). In the example of  FIG.  2   , programming instructions (e.g., machine readable instructions) that implement the functional teachings of the computing device  101  as described herein are maintained, persistently, at the memory  222  and used by the controller  220 , which makes appropriate utilization of volatile storage during the execution of such programming instructions. 
     In particular, the memory  222  stores instructions corresponding to the at least one application  223  that, when executed by the controller  220 , enables the controller  220  to implement functionality described herein including, but not limited to, the blocks of the method set forth in  FIG.  3   . 
     In illustrated examples, when the controller  220  executes the one or more applications  223 , the controller  220  is enabled to: receive, from one or more edge devices receiving outbound signaling messages on one or more control channels, rankings of previously transmitted outbound signaling messages; adjust one or more of a queue structure and a message sequence of the outbound signaling messages based on the rankings; and transmit (and/or cause transmitting) to the one or more edge devices, the outbound signaling messages according to one or more of the queue structure and the message sequence, as adjusted. 
     The application  223  may include numerical algorithms configured to implement the functionality as described above and/or determine how to adjust one or more of a queue structure and a message sequence of outbound signaling messages based on rankings. 
     Alternatively, and/or in addition to numerical algorithms, the application  223  may include machine learning models and/or algorithms, and the like, which have been trained to implement the functionality as described above and/or determine how to adjust one or more of a queue structure and a message sequence of outbound signaling messages based on rankings. In some of these examples, the application  223  may be operated by the controller  220  in a learning mode to receive feedback on how adjustments of one or more of a queue structure and a message sequence of outbound signaling messages affected rankings, to improve, for example, usefulness and/or effectiveness of outbound signaling messages. 
     The one or more machine learning models and/or algorithms of the application  223  may include, but are not limited to: a deep-learning based algorithm; a neural network; a generalized linear regression algorithm; a random forest algorithm; a support vector machine algorithm; a gradient boosting regression algorithm; a decision tree algorithm; a generalized additive model; evolutionary programming algorithms; Bayesian inference algorithms, reinforcement learning algorithms, and the like. However, generalized linear regression algorithms, random forest algorithms, support vector machine algorithms, gradient boosting regression algorithms, decision tree algorithms, generalized additive models, and the like may be preferred over neural network algorithms, deep learning algorithms, evolutionary programming algorithms, and the like, in some public safety environments. Any suitable machine learning algorithm and/or deep learning algorithm and/or neural network is within the scope of present examples. 
     While details of the edge devices  115  are not depicted, the edge devices  115  may have components similar to the computing device  101  as depicted in  FIG.  2    adapted, however, for the functionality thereof. For example, the edge devices  115  may include respective display screens, input devices, speakers, microphones, clocks, radio frequency signal strength measurement devices, and the like as well as the aforementioned ranking engines  117 . Indeed, the ranking engines  117  may also be implemented via numerical algorithms and/or machine learning algorithms that have been trained to rank signaling messages, for example according to usefulness and/or effectiveness as described above; such machine learning algorithms may also be operated in a learning mode. Regardless, it is understood that the edge devices  115  include respective transceivers for communicating via channels and control channels, as described herein. 
     Attention is now directed to  FIG.  3   , which depicts a flowchart representative of a method  300  for dynamically adjusting a queue structure and message sequencing. The operations of the method  300  of  FIG.  3    correspond to machine readable instructions that are executed by the computing device  101 , and specifically the controller  220  of the computing device  101 . In the illustrated example, the instructions represented by the blocks of  FIG.  3    are stored at the memory  222  for example, as the application  223 . The method  300  of  FIG.  3    is one way that the controller  220  and/or the computing device  101  and/or the system  100  may be configured. Furthermore, the following discussion of the method  300  of  FIG.  3    will lead to a further understanding of the system  100 , and its various components. 
     The method  300  of  FIG.  3    need not be performed in the exact sequence as shown and likewise various blocks may be performed in parallel rather than in sequence. Accordingly, as has already been mentioned, components of the method  300  are referred to herein as “blocks” rather than “steps.” The method  300  of  FIG.  3    may be implemented on variations of the system  100  of  FIG.  1   , as well. 
     At a block  302 , the controller  220  and/or the computing device  101  receives, from one or more edge devices  115  that receive outbound signaling messages  111  on one or more control channels (e.g. the control channel  113 ), rankings  119  of previously transmitted outbound signaling messages  111 . 
     The rankings  119  may have any suitable format that indicates, for example, types and associated usefulness and/or effectiveness of signaling messages  111 . For example, a ranking  119  for a given signaling message  111  received from a given edge device  115  may indicate a type of the given signaling message  111  (e.g. a call grant signaling message) and/or information included in the given signaling message  111  and the like. 
     Such a ranking  119  may further include, but is not limited to: a time that the given signaling message  111  was received at the given edge device  115 ; an identifier of the site and/or base station  103  from which the given signaling message  111  was received; radio frequency (RF) conditions (e.g. a signal strength of the control channel  113  and the like) associated with and/or at the given edge device  115  (presuming that the given edge device  115  includes hardware for determining and/or measuring such RF conditions); identifiers of channels and/or talkgroups, and the like, associated with the given edge device  115  (e.g. on which the given edge device  115  is registered to communicate); an indicator of whether the given signaling message  111  failed (e.g. a given scheduled action and/or was ignored, described in more detail below); and the like. In particular, the ranking engines  117  may be configured to include such information in the rankings  119 . 
     In specific examples, the rankings  119  may include, but are not limited to:
         A count of a number of repeats and/or retries of a given signaling message  111 ; for example, a number of repeats of a given signaling message  111  that were received prior to a respective action being implemented at a given edge device  115  (e.g. the term “retry” be interchangeable with the term “repeat”).   Whether a number of repeats of a given signaling message  111  was exhausted. For example, a number of repeats of a given signaling message  111  may be limited to a given number and when the number of repeats reaches the given number, and a respective action is still not implemented at a given edge device  115 , the number of repeats may be referred to as being exhausted and/or the signaling message  111  may be referred to as having failed.   A lateness of a given signaling message  111 , as described above, including, but not limited to, any suitable time periods that indicate such a lateness.   Whether or not a given signaling message  111  caused a “bonk” at a given edge device  115 , which may be related to the lateness and/or a number of repeats of a given signaling message  111 . For example a “bonk” may be understood as noise and/or audible feedback generated via a speaker of an edge device  115  indicating that a request associated with a given signaling message  111  failed and/or was not responded to in a timely manner, and/or otherwise indicating an error when attempting to transmit traffic using an edge device  115 , and the like.       

     Indeed, a ranking  119  may include any other suitable information which may include, but is not limited to, whether a given signaling message  111  is out of range (e.g. a value in a given signaling message  111  is not processable by an edge device  115 ), an associated decode failure, an associated false recovery, an associated bit error rate, and the like. 
     Furthermore, the rankings  119  may be received periodically and/or upon request by the computing device  101  and/or according to any other suitable schedule. Furthermore, the rankings  119  may be received one-to-one with respective signaling messages  111  (e.g. such that one ranking  119  is generated and transmitted for a given signal message  111 ) and/or the rankings  119  may comprise groups of rankings of signal messages  111 . 
     At a block  304 , the controller  220  and/or the computing device  101  adjusts and/or causes adjusting of one or more of a queue structure and a message sequence of the outbound signaling messages  111  based on the rankings  119 . 
     For example, as described above, the rankings  119 , received from the one or more edge devices  115 , rank the previously transmitted outbound signaling messages  111  (e.g. received at the one or more edge devices  115 ) according to one or more of usefulness and effectiveness thereof. 
     While specific examples for generating rankings  119  of certain types signaling messages  111  have been previously described, the rankings  119  may include rankings of any suitable signaling messages  111 . 
     For example, the rankings  119  may include, but are not limited to a usefulness ranking for a given previously transmitted outbound signaling message  111  defining one or more of (amongst other possibilities):
         How useful the given previously transmitted outbound signaling message  111  was to an edge device  115  for controlling behavior thereof. For example, as described above an initially received signaling message  111  of a given type and/or including given information may be more useful than a repeated signaling message  111  of the same type and/or including the same information. Hence, in general, the usefulness of a given previously transmitted outbound signaling message  111  may be determined based on whether, or not, the given previously transmitted outbound signaling message  111  changes behavior, or not, at an edge device  115 . For example, a given previously transmitted outbound signaling message  111  that changes behavior of an edge device  115  may be assigned a higher usefulness ranking than a signaling message  111  that does not change behavior of an edge device  115  and/or maintains a behavior of an edge device  115  and/or is ignored by the edge device  115  as being irrelevant.   Whether the given previously transmitted outbound signaling message  111  was a repeat of another previously transmitted outbound signaling message  111 . Such examples were previously described and may further be related to whether, or not, a repeat of another previously transmitted outbound signaling message  111  changes behavior of an edge device  115 .   Whether the given previously transmitted outbound signaling message  111  was a data signaling message  111  received by a data edge device  115  or a voice edge device  115 . For example, as previously described, an edge device  115  may be primarily for voice traffic or data traffic, and hence a data signaling message  111  (e.g. for scheduling a time slot to transmit or received data, such as text messages, pager messages, and/or locations of the edge device  115  and/or any other suitable data) may be assigned a lower usefulness rating by a voice edge device  115  than by a data edge device  115 .   Whether the given previously transmitted outbound signaling message  111  was a voice signaling message received by a data edge device  115  or a voice edge device  115 . For example, as previously described, an edge device  115  may be primarily for voice traffic or data traffic, and hence a voice signaling message  111  (e.g. for scheduling a time slot to transmit voice traffic, such PTT calls, and the like) may be assigned a lower usefulness rating by a data edge device  115  than by a voice edge device  115 .       

     Similarly, the rankings  119  may include, but are not limited to an effectiveness ranking defining how effective a given previously transmitted outbound signaling message  111  was for controlling timely behavior an edge device  115 . 
     An example of an effectiveness ranking for call grant signaling messages  111  was previously described, however an effectiveness ranking may be determined for other types of signaling messages  111 . 
     For example, an edge device  115  may transmit, to the base station  103 , an inbound signaling message requesting a time slot, and the like, for performing any suitable action on a communication channel and/or talkgroup, and a corresponding outbound signaling message  111  granting the request may arrive “late” from the base station  103 , such that, prior to the edge device  115  receiving the corresponding outbound signaling message  111 , the edge device  115  transmit a repeat of the inbound signaling message requesting a time slot for performing the action. Such a repeat and/or late receipt of the corresponding signaling message  111  may cause a bonk to occur at the edge device  115  (e.g. a noise generated indicating that an initial request failed) and/or a relatively late performance of the action. In these examples, the corresponding outbound signaling message  111  arriving late (e.g. as determined by a bonk occurring and/or by a repeat transmission of an inbound signaling message from the edge device  115  to the base station  103  requesting a time slot for performing the action) may be ranked relatively lower than outbound signaling messages  111  which are not received late (e.g. which do not cause a bonk and/or a repeat transmission of an inbound signaling message). 
     Indeed, one or more of a bonk, a “late” call grant signaling message  111 , a late join to a call, and the like, may cause a ranking engine  117  to lower an effectiveness ranking of a signaling message  111 . 
     Regardless, the controller  220  and/or the computing device  101  receives the rankings  119  and causes a queue structure and/or a message sequence of the queue  109  to be adjusted accordingly. 
     For example, the controller  220  and/or the computing device  101  may adjust one or more of the queue structure and the message sequence of the outbound signaling messages  111  by adjusting one or more of:
         A number of queues (e.g. sub-queues) in a queue structure of the queue  109 . For example, the controller  220  and/or the computing device  101  may assign priorities to signaling messages  111  based on the rankings  119  as described in more detail below. Furthermore, the queue  109  may comprise a number of sub-queues into which signaling messages  111  of different priorities are sequenced, for example to transmit higher priority signaling messages  111  prior to lower priority signaling messages  111  and/or to increase or decrease numbers of repeats of the signaling messages  111 . Hence, in these examples, a number of the queues and/or sub-queues of the queue  109  may be increased or decreased. In yet further examples, the number of the queues and/or sub-queues of the queue  109  may not change, but the queues and/or sub-queues of the queue  109  may be rearranged.   Transitions between the queues (e.g. sub-queues) in a queue structure of the queue  109 . For example, as described below, such transitions may be used to control numbers of repeats of the signaling messages  111 . Hence, to increase numbers of repeats of certain, signaling messages  111 , more transitions may be added between certain queues (e.g. sub-queues) in a queue structure of the queue  109 ; similarly, to decrease numbers of repeats of certain, signaling messages  111 , transitions may be reduced between certain queues (e.g. sub-queues) in a queue structure of the queue  109 . In yet further examples, a number of the transitions of the queue  109  may not change, but the transitions of the queue  109  may be rearranged.   Repeats of the outbound signaling messages  111  in the queue structure of the queue  109 . For example, the controller  220  and/or the computing device  101  may assign priorities to signaling messages  111  based on the rankings  119  and cause repeats of higher priority signaling messages  111  to increase and further cause repeats of lower priority signaling messages  111  to decrease.   Positions of given outbound signaling messages  111  in the queue structure of the queue  109 . For example, as mentioned above, the controller  220  and/or the computing device  101  may assign priorities to signaling messages  111  based on the rankings  119  and adjust positions of higher priority signaling messages  111  to change relative to lower priority signaling messages  111  such that the higher priority signaling messages  111  are transmitted prior to the lower priority signaling messages  111 .       

     However, the controller  220  and/or the computing device  101  may adjust one or more of the queue structure and the message sequence of the outbound signaling messages  111  by adjusting any suitable aspect of the queue  109  and the like. 
     As mentioned above, the controller  220  and/or the computing device  101  may assign priorities to signaling messages  111  based on the rankings  119 . For example, the rankings  119  of certain previous signaling messages  111  may indicate a relatively low usefulness ranking; hence, the controller  220  and/or the computing device  101  may assign a relatively low priority to same and/or similar signaling messages  111  (e.g. of a same and/or similar type and/or including same and/or similar information as previous signaling messages  111  having a relatively low usefulness ranking). Similarly, the rankings  119  of other previous signaling messages  111  may indicate a relatively high usefulness ranking; hence, the controller  220  and/or the computing device  101  may assign a relatively high priority to same and/or similar signaling messages  111  (e.g. of a same and/or similar type and/or including same and/or similar information as previous signaling messages  111  having a relatively high usefulness ranking). 
     Similarly, the rankings  119  of certain previous signaling messages  111  may indicate a relatively low effectiveness ranking; hence, the controller  220  and/or the computing device  101  may assign a relatively high priority to same and/or similar signaling messages  111  (e.g. of a same and/or similar type and/or including same and/or similar information as previous signaling messages  111  having a relatively low effectiveness ranking) for example to improve their effectiveness. Similarly, the rankings  119  of other previous signaling messages  111  may indicate a relatively high effectiveness ranking; hence, the controller  220  and/or the computing device  101  may assign a relatively higher priority to same and/or similar signaling messages  111  (e.g. of a same and/or similar type and/or including same and/or similar information as previous signaling messages  111  having a relatively high effectiveness ranking) to improve and/or maintain their effectiveness. 
     However, the controller  220  and/or the device  101  may assign priorities in any suitable manner to improve usefulness and/or effectiveness of signal messages  111  as indicated by the rankings  119 . Similarly, the controller  220  and/or the device  101  may accordingly adjust one or more of the queue structure and the message sequence of the queue  109  may be adjusted to cause such higher and lower priority signaling messages  111  to be transmitted as described above. 
     For example, the controller  220  and/or the computing device  101  may generally adjust the queue  109  to reduce repeats of less useful signal messages  111 , increase repeats of more useful signal messages  111 , and/or generally improve usefulness of signal messages  111 . Similarly, the controller  220  and/or the computing device  101  generally adjusts the queue  109  to reduce repeats less effective signal messages  111 , increase repeats of more effective signal messages  111 , and/or generally improve effectiveness of signal messages  111 . 
     Hence, in general, the method  300  may further comprise the controller  220  and/or the device  101 : determining respective priorities of outbound signaling messages  111 ; and adjusting one or more of a queue structure and a message sequence of the outbound signaling messages  111  to cause one or more of: repeats of higher priority outbound signaling messages  111  to increase; and respective repeats of lower priority outbound signaling messages  111  to one or more of: decrease; and be offloaded to a communication path different from the control channel  113 . For example, repeats of lower priority outbound signaling messages  111  may be transmitted via a broadband network rather than on a P25 network, and the like. 
     In general, the controller  220  and/or the computing device  101  may adjust a queue structure and/or a message sequence of the queue  109  by transmitting a command to the queue device  107  indicating a changed queue structure and/or a changed message sequence of the queue  109 , causing the queue device  107  to adjust the queue  109  accordingly. Alternatively, when the computing device  101  is combined with the queue device  107 , the controller  220  and/or the computing device  101  may adjust a queue structure and/or a message sequence of the queue  109  accordingly. 
     An examples of queue structure and/or message sequence of the queue  109  before and after adjustment are described in more detail below with respect to  FIG.  4    and  FIG.  5   . 
     At a block  306 , the controller  220  and/or the computing device  101  transmits (and/or causes transmission of) the outbound signaling messages  111 , to the one or more edge devices  115 , according to one or more of the queue structure and the message sequence, as adjusted. For example, when the computing device  101  is remote and/or separate from the queue device  107  the outbound signaling messages  111  being transmitted according to one or more of the queue structure and the message sequence, as adjusted, may occur via the computing device  101  transmitting the aforementioned command to the queue device  107  such that that the queue device  107  sequences the signaling messages  111  in an adjusted queue structure of the queue  109  accordingly. Alternatively, when the computing device  101  is combined with the queue device  107 , the computing device  101  may sequences the signaling messages  111  in an adjusted queue structure of the queue  109  accordingly. 
     The method  300  may be further adapted to correlate the rankings  119  with time. For example, the rankings  119  may indicate that the usefulness and/or effectiveness of given signaling messages  111  correlate with time. In particular, certain types of signaling messages  111  may be determined to be more or less useful and/or effective at certain times of day, for example as a type of traffic and/or numbers of edge devices  115  change with time and/or according to a time of day. Hence, adjusting one or more of the queue structure and the message sequence of the outbound signaling messages  111  may occur for given times, such that a first queue structure and/or first message sequence is used in a daytime (and/or during times associated with daytime), and a second queue structure and/or second message sequence is used in a nighttime (and/or during times associated with nighttime). For example, a number of edge devices  115  may increase in a region serviced by the base station  103  at night, and decrease during the day (e.g. due to police officers increasing patrolling of the region at night) and the queue structure and/or message sequence may be adjusted accordingly. 
     However, such correlations may occur between the rankings  119  and other factors and/or conditions. In particular, the method may further comprising correlating the rankings  119  with one or more of: time; sites with which the one or more edge devices  115  are communicating (e.g. the edge devices  115  may move between sites); locations of the one or more edge devices  115 ; radio-frequency conditions associated with the one or more edge devices  115 ; incidents associated with the one or more edge devices  115 ; talkgroups associated with the one or more edge devices  115 ; failures of previously transmitted outbound signaling messages  111 ; and the like. In these examples, adjusting one or more of the queue structure and the message sequence of the outbound signaling messages  111  may be further based on the rankings  119  as correlated with such factors. 
     As such, the computing device  101  may maintain a database, and the like, of given queue structures and/or messaging sequences that increased the rankings  119  when associated factors and/or conditions occurred in the system  100 . For example, when a given set of radio-frequency conditions associated with the one or more edge devices  115  occurred in the system  100  (e.g. for a given site and/or base station), as determined from previously received rankings  119 , a given queue structure and/or messaging sequence may have been determined to improve the rankings  119 ; hence, when same and/or similar radio-frequency conditions occur in the system  100  (e.g. for the given site and/or base station), the controller  220  and/or the computing device  101  may adjust the queue  109  according to the previously determined given queue structure and/or messaging sequence that previously improved the rankings  119 . 
     Similarly, when the edge devices  115  are associated with first responders, such as police officers, the computing device  101  may have access to a database of incidents to which the police officers are currently responding, and/or the rankings  119  may include indicators of such incidents (e.g. when police officers operating the edge devices  115  are responding to a car accident, the rankings  119  may indicate same). Hence, when a given incident associated with the one or more edge devices  115  occurred in the system  100 , a given queue structure and/or messaging sequence may have been determined to improve the rankings  119 ; hence, when a same and/or similar incident occurs in the system  100 , the controller  220  and/or the computing device  101  may adjust the queue  109  according to the previously determined given queue structure and/or messaging sequence that previously improved the rankings  119 . 
     Put another way, the controller  220  and/or the computing device  101  may “learn” which queue structures and/or messaging sequences of the queue  109  improve the rankings  119  under given conditions and adjust the queue structure and/or messaging sequence of the queue  109  accordingly when a given condition occurs. 
     Hence, while present examples are described with respect to adjusting a queue structure and/or a message sequence of outbound signaling messages based rankings  119  of previously transmitted outbound signaling messages  111 , the ranking  119  received from the edge devices  115 , it is understood that such rankings  119  may include, but are not limited to, previously received and/or historical rankings used to train one or more machine learning models and/or algorithms. Hence, it is understood that adjusting a queue structure and/or a message sequence of outbound signaling messages based the rankings  119  received from the edge devices  115 , as described herein may include, but is not limited to, adjusting a queue structure and/or a message sequence of outbound signaling messages based on estimated and/or predicted rankings using historically learned rankings (e.g. for given times and/or given locations and/or given incident types) previously received from the edge devices  115 . 
     For example, receiving the rankings  119  may occur well prior to adjusting one or more of a queue structure and a message sequence of the outbound signaling messages  111  based on the rankings  119 , and the ranking  119  may be used to train one or more machine learning models and/or algorithms to adjust one or more of a queue structure and a message sequence of the outbound signaling messages  111 . In these examples, the controller  220  and/or the computing device  101  may determine types of outbound signaling messages  111  for sequencing in the queue  109  and adjust the one or more of a queue structure of the queue  109  and/or a message sequence of the outbound signaling messages  111  using one or more machine learning models and/or algorithms that have been trained to implement such functionality using historically received rankings  119 . 
     Regardless, the controller  220  and/or the computing device  101  may continue to adjust the queue structure and/or messaging sequence of the queue  109  based on the rankings  119  as described above. For example, when a given of time day occurs, the controller  220  and/or the computing device  101  may adjust the queue structure and/or messaging sequence of the queue  109  to a stored queue structure and/or messaging sequence associated with the time of day, and continue to adjust the queue structure and/or messaging sequence of the queue  109  based on the rankings  119 . 
     In some examples, the computing device  101  may manage queues of more than one site and/or base station. Hence, in these examples, instance of the method  300  may be implemented concurrently, and the like to adjust queues at different sites and/or base stations. Put another way, the controller  220  and/or the computing device  101  may manages a plurality of respective queues for a plurality of sites and/or base stations, and adjusting one or more of a queue structure and a message sequence of outbound signaling messages  111  may occur for each of the plurality of respective queues for the plurality of sites and/or base stations as described above. Hence, in these examples the different behaviors of edge devices  115  in response to receiving signaling messages  111  from different base stations may cause respective queues of the base stations to be adjusted differently. 
     Put yet another way, adjusting one or more of a queue structure and a message sequence of outbound signaling messages, by the controller  220  and/or the computing device  101 , may occur for one or more specific sites and/or base stations (e.g. including, but not limited to the base station  103 ), used by the one or more edge devices  115  and the computing device  101  to communicate on one or more control channels (e.g. including, but not limited to the control channel  113 ). 
     An example of the method  300  is next described with respect to  FIG.  4    and  FIG.  5    which are substantially similar to  FIG.  1    with like components having like numbers. While for simplicity the wireless antenna  105  is not depicted in  FIG.  4    and  FIG.  5   , it is nonetheless understood to be present. 
     With attention first directed to  FIG.  4   , details of the queue  109  at the queue device  107  are depicted, for example prior to being adjusted by the computing device  101  based on the rankings  119 . 
     In particular, the queue  109  is understood to include a plurality of queues and/or sub-queues Q1, Q2, Q3, Q4, Q5, Q6, Q7, and Q8 (referred to hereafter as the sub-queues) arranged in a particular structure as described below; the structure may be selected based on time of day, and/or other factors described herein. Furthermore a plurality of signaling messages  111  are depicted as being sequenced at the queue  109 , for example to a given priority thereof. For example, as depicted, data signaling messages  111  have a relatively highest priority, voice signaling messages  111  have a relatively medium priority, and other types of signaling messages  111  are either of a relatively low priority (e.g. identifier signaling messages) or classified as being “continuous” which may control general management of the messages between the edge devices  115  and may not be specifically associated with data and/or voice etc. As such, as depicted in  FIG.  4   , the signaling messages  111  comprise high priority signaling messages  111 -H for controlling data traffic, medium priority signaling messages  111 -M for controlling voice traffic, low priority signaling messages  111 -L for controlling other types of traffic, and continuous signaling messages  111 -C for general management of traffic, and the like. 
     Furthermore, the high priority signaling messages  111 -H are sequenced at the sub-queue Q1, and transmitted on the control channel  113 , and then the high priority signaling messages  111 -H are again sequenced at the sub-queue Q2, and again transmitted on the control channel  113  (e.g. to repeat their transmission). 
     The medium priority signaling messages  111 -M are sequenced at the sub-queue Q3, and transmitted on the control channel  113  after the high priority signaling messages  111 -H of the sub-queue Q2 are transmitted, and then the medium priority signaling messages  111 -M are again sequenced at the sub-queue Q4, and again transmitted on the control channel  113  (e.g. to repeat their transmission). 
     The high and medium priority signaling messages  111 -H,  111 -M are again sequenced at the sub-queue Q6, and again transmitted on the control channel  113  (e.g. to again repeat their transmission). 
     Thereafter, the low priority signaling messages  111 -L are combined with the high and medium priority signaling messages  111 -H,  111 -M and sequenced at the sub-queue Q7, and transmitted on the control channel  113 , to first transmit the low priority signaling messages  111 -L and again transmit the high and medium priority signaling messages  111 -H,  111 -M. 
     Transmission of the signaling messages  111 -H,  111 -M,  111 -L at the sub-queue Q7 may repeat, for example a given number of times (e.g. per priority type), for example when transmission of signaling messages  111  in the sub-queue Q7 again occurs. 
     The continuous signaling messages  111 -C are sequenced at the sub-queue Q8 and transmitted on the control channel  113 , for example after signaling messages of the transmission of signaling messages  111  the sub-queue Q7 are transmitted. Hence, signaling messages  111  in the sub-queues Q1, Q2, Q3, Q4, Q5, Q6, Q7, and Q8 are transmitted in an order of sub-queues Q1, Q2, Q3, Q4, Q5, Q6, Q7, and Q8, and further then further signaling messages  111  in the sub-queues Q1, Q2, Q3, Q4, Q5, Q6, Q7, and Q8 again occur. When signaling messages  111  may be removed from the sub-queue Q7 when they reach a respective given number of repeats, and the like. 
     Furthermore, sequencing of signaling messages  111  in the sub-queues Q1, Q2, Q3, Q4, Q5, Q6, Q7, and Q8 may be continuous such that as signaling messages  111  the sub-queues Q1, Q2, Q3, Q4, Q5, Q6, Q7, and Q8 are transmitted, new signaling messages  111  may be sequenced at the sub-queues Q1, Q3, Q7, and Q8, and the queue device  107  generally otherwise cycles through the sub-queues Q1, Q2, Q3, Q4, Q5, Q6, Q7, and Q8. 
     Hence, as depicted, the data signaling messages  111  in the queue  109 , sequenced at the sub-queue Q1, are first transmitted and repeated a most number of times, as compared to, for example, voice signaling messages  111  sequenced at the sub-queue Q3. 
     However, as depicted, the ranking engines  117  rank the signaling messages  111  received at the edge devices  115 , and generate, and transmit, the rankings  119  to the computing device  101 , which receive (e.g. at the block  302  of the method  300 ) the rankings  119 . From the rankings  119 , the computing device  101  may determine (e.g. at the block  304 ) an adjusted queue structure  401  and/or adjusted message priorities  403 . For example, the edge devices  115  may have an increase in voice traffic which causes the ranking engines  117  to generate the rankings  119  to indicate that data signaling messages may be less useful than voice signaling messages and, with the queue structure depicted in  FIG.  4   , voice signaling messages may have relatively low effectiveness ratings. As such, the computing device  101  determines the adjusted queue structure  401  and/or adjusted message priorities  403  such that new voice signaling messages  111  have a higher priority than new data signaling messages  111  and/or such that new voice signaling messages  111  are repeated more often than new data signaling messages  111  in the queue  109 , for example to increase the usefulness and/or effectiveness of the voice signaling messages in the rankings  119 . 
     As depicted, the adjusted queue structure  401  and/or adjusted message priorities  403  are provided to the queue device  107  (e.g. as a command  405 ) which adjusts the queue accordingly. 
     For example, attention is next directed to  FIG.  5    which depicts the queue  109  after being adjusted. As depicted, a message sequence is adjusted such that the high priority signaling messages  111 -H comprise voice signaling messages  111  and the medium priority signaling messages  111 -M comprise data signaling messages  111 , with the signaling messages  111 -L,  111 -C being unchanged. Such changes may be defined by the adjusted message priorities  403 . 
     Furthermore, as depicted a queue structure of the sub-queues Q1, Q2, Q3, Q4, Q5, Q6, Q7, and Q8 are adjusted such that the high priority signaling messages  111 -H are sequenced in the sub-queues Q1, Q2, Q3, Q4 to repeat transmission the high priority signaling messages  111 -H prior to the medium priority signaling messages  111 -M being transmitted, as sequenced at the sub-queue Q5. Such changes may be defined by the adjusted queue structure  401 . The remaining queue structure is similar to as depicted in  FIG.  4   . Hence, the signaling messages  111  are transmitted (e.g. at the block  306  of the method  300 ) according to the queue  109  as adjusted. 
     As depicted, the ranking engines  117  continue to generate the rankings  119 , continue to be received at the computing device  101  which may continue to generate an adjusted queue structure  501  and/or adjusted message priorities  503  which may be used to again adjust the queue structure and/or the message sequence of the outbound signaling messages  111  at the queue  109 , for example via a command  505 . As such the queue  109  may be adjusted in a feedback loop with the rankings  119   
     As should be apparent from this detailed description above, the operations and functions of the electronic computing device are sufficiently complex as to require their implementation on a computer system, and cannot be performed, as a practical matter, in the human mind. Electronic computing devices such as set forth herein are understood as requiring and providing speed and accuracy and complexity management that are not obtainable by human mental steps, in addition to the inherently digital nature of such operations (e.g., a human mind cannot interface directly with RAM or other digital storage, cannot transmit or receive electronic messages, electronically encoded video, electronically encoded audio, etc., and cannot adjust a queue structure and/or a message sequence of outbound signaling messages based on rankings, and/or a human mind cannot rank such outbound signaling messages at an edge device, among other features and functions set forth herein). 
     In the foregoing specification, specific embodiments have been described. However, one of ordinary skill in the art appreciates that various modifications and changes can be made without departing from the scope of the invention as set forth in the claims below. Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be included within the scope of present teachings. The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential features or elements of any or all the claims. The invention is defined solely by the appended claims including any amendments made during the pendency of this application and all equivalents of those claims as issued. 
     Moreover in this document, relational terms such as first and second, top and bottom, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” “has”, “having,” “includes”, “including,” “contains”, “containing” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises, has, includes, contains a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by “comprises . . . a”, “has . . . a”, “includes . . . a”, “contains . . . a” does not, without more constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises, has, includes, contains the element. The terms “a” and “an” are defined as one or more unless explicitly stated otherwise herein. The terms “substantially”, “essentially”, “approximately”, “about” or any other version thereof, are defined as being close to as understood by one of ordinary skill in the art, and in one non-limiting embodiment the term is defined to be within 10%, in another embodiment within 5%, in another embodiment within 1% and in another embodiment within 0.5%. The term “one of”, without a more limiting modifier such as “only one of”, and when applied herein to two or more subsequently defined options such as “one of A and B” should be construed to mean an existence of any one of the options in the list alone (e.g., A alone or B alone) or any combination of two or more of the options in the list (e.g., A and B together). 
     A device or structure that is “configured” in a certain way is configured in at least that way, but may also be configured in ways that are not listed. 
     The terms “coupled”, “coupling” or “connected” as used herein can have several different meanings depending on the context in which these terms are used. For example, the terms coupled, coupling, or connected can have a mechanical or electrical connotation. For example, as used herein, the terms coupled, coupling, or connected can indicate that two elements or devices are directly connected to one another or connected to one another through intermediate elements or devices via an electrical element, electrical signal or a mechanical element depending on the particular context. 
     It will be appreciated that some embodiments may be comprised of one or more generic or specialized processors (or “processing devices”) such as microprocessors, digital signal processors, customized processors and field programmable gate arrays (FPGAs) and unique stored program instructions (including both software and firmware) that control the one or more processors to implement, in conjunction with certain non-processor circuits, some, most, or all of the functions of the method and/or apparatus described herein. Alternatively, some or all functions could be implemented by a state machine that has no stored program instructions, or in one or more application specific integrated circuits (ASICs), in which each function or some combinations of certain of the functions are implemented as custom logic. Of course, a combination of the two approaches could be used. 
     Moreover, an embodiment can be implemented as a computer-readable storage medium having computer readable code stored thereon for programming a computer (e.g., comprising a processor) to perform a method as described and claimed herein. Any suitable computer-usable or computer readable medium may be utilized. Examples of such computer-readable storage mediums include, but are not limited to, a hard disk, a CD-ROM, an optical storage device, a magnetic storage device, a ROM (Read Only Memory), a PROM (Programmable Read Only Memory), an EPROM (Erasable Programmable Read Only Memory), an EEPROM (Electrically Erasable Programmable Read Only Memory) and a Flash memory. In the context of this document, a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. 
     Further, it is expected that one of ordinary skill, notwithstanding possibly significant effort and many design choices motivated by, for example, available time, current technology, and economic considerations, when guided by the concepts and principles disclosed herein will be readily capable of generating such software instructions and programs and ICs with minimal experimentation. For example, computer program code for carrying out operations of various example embodiments may be written in an object oriented programming language such as Java, Smalltalk, C++, Python, or the like. However, the computer program code for carrying out operations of various example embodiments may also be written in conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on a computer, partly on the computer, as a stand-alone software package, partly on the computer and partly on a remote computer or server or entirely on the remote computer or server. In the latter scenario, the remote computer or server may be connected to the computer through a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider). 
     The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various embodiments for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.