Patent Publication Number: US-2022232510-A1

Title: Systems and methods for minimizing risk to wireless backup services

Description:
BACKGROUND 
     A customer may receive network services from a wireline network via network paths (e.g., optical cables) provided between wireline network devices (e.g., routers) and a data network (e.g., an Internet protocol (IP) network). The customer may receive wireless backup network services from wireless network devices (e.g., base stations, such as eNodeBs and gNodeBs) if the wireline network experiences an outage. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIGS. 1A-1G  are diagrams of an example associated with a system for analyzing a diversity risk score and applying the diversity risk score to wireless backup services. 
         FIG. 2  is a diagram of an example environment in which systems and/or methods described herein may be implemented. 
         FIG. 3  is a diagram of example components of one or more devices of  FIG. 2 . 
         FIG. 4  is a flowchart of an example process for calculating a diversity risk score and applying the diversity risk score to wireless backup services. 
     
    
    
     DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS 
     The following detailed description of example implementations refers to the accompanying drawings. The same reference numbers in different drawings may identify the same or similar elements. 
     In some cases, different types of network devices (e.g., wireline network devices and wireless network devices) may share one or more network paths to a data network. Such shared network paths may decrease a diversity of the network devices in the event of an outage associated with the shared network paths. For example, if a wireline network device and a wireless network device share the same network path to the data network, the wireless network cannot provide backup network services if the shared network path experiences an outage. However, identifying the shared network paths and determining a diversity risk (e.g., a risk that an outage in a shared network path prevents a wireless network from providing backup network services to a wired network) for network customers is a time consuming, manual process. A failure to properly identity the shared network paths and determine diversity risk may cause a lack of visibility into wireline and wireless network path commonalities, which may lead to outages for enterprise customers when the wireline and wireless network paths are not diverse (e.g., share a common path to a data network). 
     Some implementations described herein provide a system that calculates a diversity risk score and applies the diversity risk score to wireless backup services. For example, the system may receive one or more of data identifying a quantity of wireless network devices available for service in a geographical location, distance data identifying distances from the wireless network devices to the geographical location, data identifying signal strengths of the wireless network devices, carrier data identifying wireless and wireline carriers for the wireless network devices, or path data identifying wireline paths for the wireless network devices and wireline network devices. The system may assign scores to the one or more of the quantity, the distance data, the signal strengths, the carrier data, or the path data to generate a plurality of scores, and may combine the plurality of scores to generate a diversity risk score for the geographical location. The system may compare the diversity risk score to a diversity risk threshold scale and may determine whether the diversity risk score satisfies one or more thresholds of the diversity risk threshold scale based on comparing the diversity risk score to the diversity risk threshold scale. The system may perform one or more actions based on whether the diversity risk score satisfies the one or more thresholds of the diversity risk threshold scale. For example, the system may cause one or more parameters to be changed for one of the wireless network devices, may cause traffic to be rerouted from a path associated with one of the wireless network devices to a different path, may cause an antenna of a wireless network device to be adjusted, and/or the like. 
     In this way, the system calculates a diversity risk score and applies the diversity risk score to wireless backup services. The system may calculate diversity scores and/or risk levels associated with wireline systems and wireless backup systems when the systems are created and/or operating. The system may provide improved diversity for wireline private IP services with backup from a wireless network service. The system may cause diversity issues to be automatically corrected and may monitor the corrections to address the diversity issues. Thus, the system conserves computing resources, networking resources, human resources, and/or the like associated with handling network outages, identifying shared network paths, handling consumer complaints associated with network outages, and/or the like. 
       FIGS. 1A-1G  are diagrams of an example  100  associated with calculating a diversity risk score and applying the diversity risk score to wireless backup services for a wired network. As shown in  FIGS. 1A-1G , example  100  includes a network  105 , network devices  110 , and a system  115 . Network  105  may include a radio access network (RAN) associated with an LTE or 4G network, a 5G network, and/or the like. Each network device  110  may include an eNodeB (eNB) capable of transferring traffic, such as audio, video, text, and/or other traffic associated with network  105 , a gNodeB (gNB) that supports, for example, a cellular radio access technology (RAT) and wireless communication for network  105 , and/or the like. System  115  may include a system that calculates a diversity risk score and applies the diversity risk score to wireless backup services. 
     As shown in  FIG. 1A , and by reference number  120 , the system  115  may receive information identifying a quantity of wireless network devices  110 A, distance data, signal strengths of the wireless network devices  110 A, carrier data, and path data from network devices  110  associated with the network  105 . For example, the system  115  may query the wireless network devices  110 A and/or the wireline network device  110 B and may receive the information identifying the quantity of wireless network devices  110 A, the distance data, the signal strengths of the wireless network devices  110 A, the carrier data, and/or the path data in response to the query. The information identifying a quantity of wireless network devices  110 A may identify a quantity of wireless network devices  110 A available for service in a geographical location. The geographical location may be associated with an entity (e.g., an enterprise customer) associated with the wireless network devices and/or the wireline network devices. The wireline network devices may provide a wireline private service for the entity at the geographical location and the wireless network devices may provide backup connectivity to the wireline private service. 
     The distance data may include information identifying distances from the wireless network devices  110 A to the geographical location. The carrier data may include information identifying wireless and wireline carriers for the wireless network devices  110 A. The path data may include information identifying paths for the wireless network devices  110 A and wireline network devices  110 B. 
     As shown in  FIG. 1B , and by reference number  125 , the system  115  assigns scores to the quantity of wireless network devices  110 A available for service in the geographical location, the distance data, the signal strengths, the carrier data, and the path data to generate a plurality of scores. In some implementations, the system  115  may assign the scores based on accessing a data structure (e.g., a database, a table, a list, and/or the like) storing information associating ranges of values (e.g., ranges of quantities of wireless network devices available for service in the geographical location, ranges of distances from which a wireless network device is from the geographical location, ranges of signal strengths, ranges of quantities of last mile carriers, ranges of quantities of central office (CO) intersections associated with the path data, and/or the like) with respective scores associated with the ranges of values. 
     In some implementations, the plurality of scores includes a score associated with the quantity of wireless network devices  110 A available for service in the geographical location. For example, the plurality of scores may include a first score (e.g., 0) when the quantity of wireless network devices  110 A satisfies (e.g., is greater than or equal to) a quantity threshold (e.g., two, three, five, and/or the like). The plurality of scores may include a second score (e.g., 1) when the quantity of wireless network devices  110 A fails to satisfy the quantity threshold. The plurality of scores may include a third score (e.g., 2) when the quantity of wireless network devices  110 A is equal to zero. 
     In some implementations, the plurality of scores includes a respective score associated with distance data identifying a distance from each wireless network device  110 A, of the quantity of wireless network devices  110 A, to the geographical location. For example, the distance data identifying a distance from a wireless network device  110 A to the geographical location may be assigned a first score (e.g., 0) when the distance satisfies a first distance condition (e.g., less than about three miles), a second score (e.g., 1) when the distance satisfies a second distance condition (e.g., between about three miles and about ten miles), and a third score (e.g., 2) when the distance satisfies a third distance condition (e.g., greater than about ten miles). 
     In some implementations, the plurality of scores include a score assigned to a signal strength associated with a wireless network device  110 A. For example, the signal strength of a wireless network device  110 A may be assigned a first score (e.g., 0) when the signal of the wireless network device  110 A satisfies a first signal strength threshold. The signal strength of the wireless network device  110 A may be assigned a second score (e.g., 1) when the signal of the wireless network device  110 A satisfies a second signal strength threshold. The signal strength of the wireless network device  110 A may be assigned a third score (e.g., 2) when the signal of the wireless network device  110 A satisfies a third signal strength threshold. 
     In some implementations, the plurality of scores include a score assigned to the carrier data. For example, the carrier data may be assigned a first score (e.g., 0) when the wireline network devices  110 B and the wireless network devices  110 A utilize different last mile carriers. The carrier data may be assigned a second score (e.g., 1) when the wireline network devices  110 B and the wireless network devices  110 A utilize the same last mile carrier. 
     In some implementations, the plurality of scores include a score assigned to the path data. For example, the path data for a wireless network device  110 A and/or a wireline network device  110 B may be assigned a first score (e.g., 2) when a quantity of CO intersections associated with the path data satisfies a CO intersection threshold. The path data may be assigned a second score (e.g., 1) when the quantity of CO intersections fails to satisfy the CO intersection threshold. The path data may be assigned a third score (e.g., 0) when the quantity of CO intersections is equal to zero. 
     As shown in  FIG. 1C , and by reference number  130 , the system  115  combines the plurality of scores to generate a diversity risk score for the geographical location. For example, the system  115  may calculate a sum of the plurality of scores to generate the diversity risk score. The diversity risk score may indicate a risk associated with sharing of the wireline paths by the wireless network devices and the wireline network devices. In some implementations, the system  115  calculates a sum of the plurality of scores to generate a diversity risk score for the geographical location. Alternatively, and/or additionally, the system  115  may combine a group of scores, of the plurality of scores, to generate the diversity risk score. For example, the system  115  may combine a group of scores associated with a particular wireless network device  110 A, a particular wireline network device  110 B, the quantity of wireless network devices  110 A, the distance data, the signal strengths, the carrier data, and/or the path data to generate a diversity risk score for geographical location, the particular wireless network device  110 A, and/or the particular wireline network device  110 B. 
     As shown in  FIG. 1D , and by reference number  135 , the system  115  compares the diversity risk score to a diversity risk threshold scale. The diversity risk threshold scale may be dependent on which of the one or more of the group of scores associated with the quantity of wireless network devices  110 A, the distance data, the signal strengths, the carrier data, and/or the path data are utilized to generate the plurality of scores. For example, the system  115  may compare the diversity risk score to a first diversity risk score threshold scale when the system  115  combines the plurality of scores to generate the diversity risk score. The system  115  may compare the diversity risk score to a second diversity risk score threshold scale when the system  115  combines one or more groups of scores to generate the diversity risk score. 
     As shown in  FIG. 1E , and by reference number  140 , the system  115  determines whether the diversity risk score satisfies a first threshold, a second threshold, or a third threshold of the diversity risk threshold scale based on the comparison. The first threshold of the diversity risk threshold scale may be satisfied when the diversity risk score is within a range of diversity risk scores associated with a first diversity risk level. The second threshold of the diversity risk threshold scale may be satisfied when the diversity risk score is within a range of diversity risk scores associated with a second diversity risk level. The second diversity risk level may correspond to a level of risk that is less than a level of risk associated with the first diversity risk level. The third threshold of the diversity risk threshold scale may be satisfied when the diversity risk score is within a range of diversity risk scores associated with a third diversity risk level. The third diversity risk level may correspond to a level of risk that is less than the level of risk associated with the second diversity risk level. 
     For example, the first threshold may be associated with a high risk of the wireless network devices  110 A being unable to provide backup connectivity for the wireline network devices  110 B. The second threshold may be associated with a medium risk of the wireless network devices  110 A being unable to provide backup connectivity for the wireline network devices  110 B. The third threshold may be associated with a low risk of the wireless network devices  110 A being unable to provide backup connectivity for the wireline network devices  110 B. 
     As shown in  FIG. 1F , and by reference number  145 , the system  115  performs one or more actions based on which threshold is satisfied. In some implementations, performing the one or more actions includes the system  115  causing one or more parameters to be changed for one of the wireless network devices  110 A. The system  115  may cause one or more parameters to be changed for one of the wireless network devices  110 A to enable the wireless network device  110 A to provide backup connectivity for the wireline network devices  110 B. For example, the system  115  may cause one or more parameters to be changed to increase a signal strength of the wireless network device  110 A, to utilize a different last mile carrier, and/or the like. 
     In some implementations, performing the one or more actions includes the system  115  causing traffic to be rerouted from a path associated with one of the wireless network devices  110 A to a different path and/or cause a new path to be installed for one of the wireless network devices  110 A. For example, the system  115  may cause traffic to be rerouted from a path associated with a wireless network device  110 A to a different path, associated with other networks proximate to the geographical location, and/or may cause a new path to be installed for a wireless network device  110 A based on the risk diversity score satisfying the first threshold and/or the second threshold. 
     In some implementations, performing the one or more actions includes the system  115  causing an autonomous vehicle (e.g., a robot, an unmanned aerial vehicle, an autonomous car, an autonomous truck, and/or the like) or a technician to be dispatched to service one of the wireless network devices  110 A. For example, the system  115  may cause an autonomous vehicle and/or a technician to be dispatched to a wireless network device  110 A to service the network device  110  based on the risk diversity score satisfying the first threshold and/or the second threshold. 
     In some implementations, performing the one or more actions includes the system  115  placing an order for a new network device  110 . For example, the system  115  may place an order for a new network device  110  to be allocated for the geographical location. In this way, system  115  may enable the network  105  to handle an increase in bandwidth utilization of the network  105 , a decrease in capacity of the network  105 , and/or the like. This may conserve computing resources, networking resources, human resources, and/or the like associated with the network  105  operating inefficiently, identifying network resources to allocate for the increased network utilization, handling consumer complaints associated with the network  105 , and/or the like. 
     In some implementations, performing the one or more actions includes system  115  causing one or more additional network devices  110  to be temporarily allocated for the geographical location. For example, the system  115  may cause additional network devices  110 , associated with other networks proximate to the geographical location, to be temporarily allocated for the geographical location. In this way, the system  115  may enable the network  105  and the one or more additional network devices  110  to handle an increase in bandwidth utilization of the network  105 , a decrease in capacity of the network  105 , and/or the like. This may conserve computing resources, networking resources, human resources, and/or the like associated with the network  105  operating inefficiently, identifying network resources to allocate for the increased network utilization, handling consumer complaints associated with the network  105 , and/or the like. 
     In some implementations, performing the one or more actions includes the system  115  causing an autonomous vehicle equipped with a network device  110  to be dispatched to the geographical location. The network device  110  of the autonomous vehicle may provide additional service to users in the geographical location. In this way, the system  115  may enable the network  105  and the network device  110  of the autonomous vehicle to handle an increase in bandwidth utilization of the network  105 , a decrease in capacity of the network  105 , and/or the like. This may conserve computing resources, networking resources, human resources, and/or the like associated with network  105  operating inefficiently, identifying network resources to allocate for the increased network utilization, handling consumer complaints associated with the network  105 , and/or the like. 
     In some implementations, performing the one or more actions includes the system  115  generating a notification about the anticipated behavior of the network  105  and providing the notification to users of the network  105  located in the geographical location. In this way, the users of the network  105  may be notified about an increase in bandwidth utilization of the network  105 , a decrease in capacity of the network  105 , and/or the like. This may conserve computing resources, networking resources, human resources, and/or the like associated with handling consumer complaints associated with the network  105 . 
     In some implementations, performing the one or more actions includes the system  115  causing an order to be placed for a new network device  110  of the network  105  based on the anticipated behavior of the network. For example, the system  115  may determine that at least one additional network device  110  is needed whenever a power outage occurs in the geographical location. Thus, the system  115  may order the new network device  110  for the network  105  in order to handle network demands associated with future power outages. In this way, the network  105  and the new network device  110  may handle an increase in bandwidth utilization of the network  105 , a decrease in capacity of the network  105 , and/or the like associated with future power outages. This may conserve computing resources, networking resources, human resources, and/or the like associated with the network  105  operating inefficiently, identifying network resources to allocate for the increased network utilization, handling consumer complaints associated with the network  105 , and/or the like. 
     In some implementations, performing the one or more actions includes the system  115  adjusting one or more parameters of one or more of network devices  110  based on the anticipated behavior of network  105 . For example, the system  115  may adjust parameters of the one or more network devices  110  (e.g., a tilt angle of a base station, a power of a signal generated by a base station, and/or the like) so that the one or more network devices  110  may handle an increase in bandwidth utilization of the network  105 , a decrease in capacity of the network  105 , and/or the like. This, in turn, may conserve computing resources, networking resources, human resources, and/or the like associated with the network  105  operating inefficiently, identifying network resources to allocate for the increased network utilization, handling consumer complaints associated with the network  105 , and/or the like. 
     In some implementations, performing the one or more actions includes the system  115  determining a network capacity requirement based on the anticipated behavior of network  105  and implementing an upgrade to the network  105  based on the network capacity requirement. For example, the system  115  may determine that at least one additional network device  110  is needed whenever a power outage occurs in the geographical location based on a network capacity requirement of the network  105  during the power outage. Thus, system  115  may cause a new network device  110  to be provided for the network  105  to handle the network capacity requirement of the network  105  during power outages. This may conserve computing resources, networking resources, human resources, and/or the like associated with the network  105  operating inefficiently, identifying network resources to allocate for the increased network utilization, handling consumer complaints associated with the network  105 , and/or the like. 
     As shown in  FIG. 1G , and by reference number  155 , the system  115  monitors performance of the one or more actions. The system  115  may monitor the performance of the network  105  based on performing the one or more actions. For example, the system  115  may determine a new diversity risk score, may determine whether the new diversity risk score satisfies the first threshold, the second threshold, or the third threshold, and may perform one or more additional actions based on whether the new diversity risk score satisfies the first threshold, the second threshold, or the third threshold, in a manner similar to that described above. 
     In this way, the system  115  calculates a diversity risk score and applies the diversity risk score to wireless backup services. The system  115  may calculate diversity scores and/or risk levels associated with wireline systems and wireless backup systems when the systems are created and/or operating. The system  115  may provide improved diversity for wireline private IP services with backup from a wireless network service. The system  115  may cause diversity issues to be automatically corrected and may monitor the corrections to address the diversity issues. Thus, the system  115  conserves computing resources, networking resources, human resources, and/or the like associated with handling network outages, identifying shared network paths, handling consumer complaints associated with network outages, and/or the like. 
     As indicated above,  FIGS. 1A-1G  are provided as an example. Other examples may differ from what is described with regard to  FIGS. 1A-1G . The number and arrangement of devices shown in  FIGS. 1A-1G  are provided as an example. In practice, there may be additional devices, fewer devices, different devices, or differently arranged devices than those shown in  FIGS. 1A-1G . Furthermore, two or more devices shown in  FIGS. 1A-1G  may be implemented within a single device, or a single device shown in  FIGS. 1A-1G  may be implemented as multiple, distributed devices. Additionally, or alternatively, a set of devices (e.g., one or more devices) shown in  FIGS. 1A-1G  may perform one or more functions described as being performed by another set of devices shown in  FIGS. 1A-1G . 
       FIG. 2  is a diagram of an example environment  200  in which systems and/or methods described herein may be implemented. As shown in  FIG. 2 , environment  200  may include system  115 , which may include one or more elements of and/or may execute within a cloud computing system  202 . The cloud computing system  202  may include one or more elements  203 - 213 , as described in more detail below. As further shown in  FIG. 2 , environment  200  may include network  105  and/or network device  110 . Devices and/or elements of environment  200  may interconnect via wired connections and/or wireless connections. 
     Network  105  may include a RAN that includes one or more network device  110  that take the form of eNBs, gNBs, and/or the like, via which a user device (e.g., a mobile phone, a laptop computer, a tablet computer, a desktop computer, and/or the like) communicates with a core network. Network  105  may include one or more wired and/or wireless networks. For example, network  105  may include a cellular network (e.g., a 5G network, an LTE network, a 3G network, a code division multiple access (CDMA) network, etc.), a public land mobile network (PLMN), a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), a telephone network (e.g., the Public Switched Telephone Network (PSTN)), a private network, an ad hoc network, an intranet, the Internet, a fiber optic-based network, and/or the like, and/or a combination of these or other types of networks. 
     Network device  110  includes one or more wireless network devices (e.g., wireless network devices  110 A) and/or wireline network devices (e.g., wireline network devices  110 B) capable of transferring traffic, such as audio, video, text, and/or other traffic, destined for and/or received from a UE. In some implementations, network device  110  may include an eNB associated with an LTE network that receives traffic from and/or sends traffic to a core network. Additionally, or alternatively, network device  110  may include a gNB associated with a RAN of a 5G network. Network device  110  may send traffic to and/or receive traffic from a UE via an air interface, such as a cellular RAT. In some implementations, network device  110  may include a base transceiver station, a radio base station, a base station subsystem, a cellular site, a cellular tower, an access point, a transmit receive point (TRP), a radio access node, a macrocell base station, a microcell base station, a picocell base station, a femtocell base station, a cellular-site router, an aggregation router, a core network device, and other network entities that can support wireless communication. Network device  110  may transfer traffic between UEs (e.g., using a cellular RAT), one or more other network devices  110  (e.g., using a wireless interface or a backhaul interface, such as a wired backhaul interface), and/or a core network. 
     In some implementations, network device  110  includes a wireline device, such as an optical multiplexer/demultiplexer, an optical switch, an optical splitter, an optical amplifier, an optical network terminal, and/or the like. Network device  110  may include a router, such as a label switching router (LSR), a label edge router (LER), an ingress router, an egress router, a provider router (e.g., a provider edge router, a provider core router, and/or the like), a virtual router, and/or the like. Additionally, or alternatively, network device  110  may include a gateway, a switch, a firewall, a hub, a bridge, a reverse proxy, a server (e.g., a proxy server, a cloud server, a data center server, and/or the like), a load balancer, and/or a similar device. 
     The cloud computing system  202  includes computing hardware  203 , a resource management component  204 , a host operating system (OS)  205 , and/or one or more virtual computing systems  206 . The resource management component  204  may perform virtualization (e.g., abstraction) of computing hardware  203  to create the one or more virtual computing systems  206 . Using virtualization, the resource management component  204  enables a single computing device (e.g., a computer, a server, and/or the like) to operate like multiple computing devices, such as by creating multiple isolated virtual computing systems  206  from computing hardware  203  of the single computing device. In this way, computing hardware  203  can operate more efficiently, with lower power consumption, higher reliability, higher availability, higher utilization, greater flexibility, and lower cost than using separate computing devices. 
     Computing hardware  203  includes hardware and corresponding resources from one or more computing devices. For example, computing hardware  203  may include hardware from a single computing device (e.g., a single server) or from multiple computing devices (e.g., multiple servers), such as multiple computing devices in one or more data centers. As shown, computing hardware  203  may include one or more processors  207 , one or more memories  208 , one or more storage components  209 , and/or one or more networking components  210 . Examples of a processor, a memory, a storage component, and a networking component (e.g., a communication component) are described elsewhere herein. 
     The resource management component  204  includes a virtualization application (e.g., executing on hardware, such as computing hardware  203 ) capable of virtualizing computing hardware  203  to start, stop, and/or manage one or more virtual computing systems  206 . For example, the resource management component  204  may include a hypervisor (e.g., a bare-metal or Type 1 hypervisor, a hosted or Type 2 hypervisor, and/or the like) or a virtual machine monitor, such as when the virtual computing systems  206  are virtual machines  211 . Additionally, or alternatively, the resource management component  204  may include a container manager, such as when the virtual computing systems  206  are containers  212 . In some implementations, the resource management component  204  executes within and/or in coordination with a host operating system  205 . 
     A virtual computing system  206  includes a virtual environment that enables cloud-based execution of operations and/or processes described herein using computing hardware  203 . As shown, a virtual computing system  206  may include a virtual machine  211 , a container  212 , a hybrid environment  213  that includes a virtual machine and a container, and/or the like. A virtual computing system  206  may execute one or more applications using a file system that includes binary files, software libraries, and/or other resources required to execute applications on a guest operating system (e.g., within the virtual computing system  206 ) or the host operating system  205 . 
     Although system  115  may include one or more elements  203 - 213  of the cloud computing system  202 , may execute within the cloud computing system  202 , and/or may be hosted within the cloud computing system  202 , in some implementations, system  115  may not be cloud-based (e.g., may be implemented outside of a cloud computing system) or may be partially cloud-based. For example, system  115  may include one or more devices that are not part of the cloud computing system  202 , such as device  300  of  FIG. 3 , which may include a standalone server or another type of computing device. System  115  may perform one or more operations and/or processes described in more detail elsewhere herein. 
     The number and arrangement of devices and networks shown in  FIG. 2  are provided as an example. In practice, there may be additional devices and/or networks, fewer devices and/or networks, different devices and/or networks, or differently arranged devices and/or networks than those shown in  FIG. 2 . Furthermore, two or more devices shown in FIG.  2  may be implemented within a single device, or a single device shown in  FIG. 2  may be implemented as multiple, distributed devices. Additionally, or alternatively, a set of devices (e.g., one or more devices) of environment  200  may perform one or more functions described as being performed by another set of devices of environment  200 . 
       FIG. 3  is a diagram of example components of a device  300 , which may correspond to system  115  and/or network device  110 . In some implementations, system  115  and/or network device  110  may include one or more devices  300  and/or one or more components of device  300 . As shown in  FIG. 3 , device  300  may include a bus  310 , a processor  320 , a memory  330 , a storage component  340 , an input component  350 , an output component  360 , and a communication component  370 . 
     Bus  310  includes a component that enables wired and/or wireless communication among the components of device  300 . Processor  320  includes a central processing unit, a graphics processing unit, a microprocessor, a controller, a microcontroller, a digital signal processor, a field-programmable gate array, an application-specific integrated circuit, and/or another type of processing component. Processor  320  is implemented in hardware, firmware, or a combination of hardware and software. In some implementations, processor  320  includes one or more processors capable of being programmed to perform a function. Memory  330  includes a random access memory, a read only memory, and/or another type of memory (e.g., a flash memory, a magnetic memory, and/or an optical memory). 
     Storage component  340  stores information and/or software related to the operation of device  300 . For example, storage component  340  may include a hard disk drive, a magnetic disk drive, an optical disk drive, a solid-state disk drive, a compact disc, a digital versatile disc, and/or another type of non-transitory computer-readable medium. Input component  350  enables device  300  to receive input, such as user input and/or sensed inputs. For example, input component  350  may include a touch screen, a keyboard, a keypad, a mouse, a button, a microphone, a switch, a sensor, a global positioning system component, an accelerometer, a gyroscope, and/or an actuator. Output component  360  enables device  300  to provide output, such as via a display, a speaker, and/or one or more light-emitting diodes. Communication component  370  enables device  300  to communicate with other devices, such as via a wired connection and/or a wireless connection. For example, communication component  370  may include a receiver, a transmitter, a transceiver, a modem, a network interface card, and/or an antenna. 
     Device  300  may perform one or more processes described herein. For example, a non-transitory computer-readable medium (e.g., memory  330  and/or storage component  340 ) may store a set of instructions (e.g., one or more instructions, code, software code, and/or program code) for execution by processor  320 . Processor  320  may execute the set of instructions to perform one or more processes described herein. In some implementations, execution of the set of instructions, by one or more processors  320 , causes the one or more processors  320  and/or the device  300  to perform one or more processes described herein. In some implementations, hardwired circuitry may be used instead of or in combination with the instructions to perform one or more processes described herein. Thus, implementations described herein are not limited to any specific combination of hardware circuitry and software. 
     The number and arrangement of components shown in  FIG. 3  are provided as an example. Device  300  may include additional components, fewer components, different components, or differently arranged components than those shown in  FIG. 3 . Additionally, or alternatively, a set of components (e.g., one or more components) of device  300  may perform one or more functions described as being performed by another set of components of device  300 . 
       FIG. 4  is a flowchart of an example process  400  associated with calculating a diversity risk score and applying the diversity risk score to wireless backup services. In some implementations, one or more process blocks of  FIG. 4  may be performed by a device (e.g., system  115 ). In some implementations, one or more process blocks of  FIG. 4  may be performed by another device or a group of devices separate from or including the device, such as a network device (e.g., network device  110 ). Additionally, or alternatively, one or more process blocks of  FIG. 4  may be performed by one or more components of device  300 , such as processor  320 , memory  330 , storage component  340 , input component  350 , output component  360 , and/or communication component  370 . 
     As shown in  FIG. 4 , process  400  may include receiving one or more of data identifying a quantity of wireless network devices, distance data, data identifying signal strengths, carrier data, or path data (block  410 ). For example, the device may receive one or more of data identifying a quantity of wireless network devices available for service in a geographical location, distance data identifying distances from the wireless network devices to the geographical location, data identifying signal strengths of the wireless network devices, carrier data identifying wireless and wireline carriers for the wireless network devices, or path data identifying wireline paths for the wireless network devices and wireline network devices, as described above. 
     The geographical location may be associated with an entity associated with the wireless network devices and/or the wireline network devices. The wireline network devices may provide a wireline private service for the entity at the geographical location and the wireless network devices may provide backup connectivity to the wireline private service. 
     As further shown in  FIG. 4 , process  400  may include assigning scores to the one or more of the quantity, the distance data, the signal strengths, the carrier data, or the path data to generate a plurality of scores (block  420 ). For example, the device may assign scores to the one or more of the quantity, the distance data, the signal strengths, the carrier data, or the path data to generate a plurality of scores, as described above. The plurality of scores may include a score associated with the quantity of wireless network devices available for service in the geographical location and a score associated with the distance data identifying the distances from the wireless network devices to the geographical location. 
     As further shown in  FIG. 4 , process  400  may include combining the plurality of scores to generate a diversity risk score for the geographical location (block  430 ). For example, the device may combine the plurality of scores to generate a diversity risk score for the geographical location, as described above. The diversity risk score may indicate a risk associated with sharing of the wireline paths by the wireless network devices and the wireline network devices. 
     As further shown in  FIG. 4 , process  400  may include comparing the diversity risk score to a diversity risk threshold scale (block  440 ). For example, the device may compare the diversity risk score to a diversity risk threshold scale, as described above. The diversity risk threshold scale may be dependent on which of the one or more of the quantity, the distance data, the signal strengths, the carrier data, or the path data is utilized to generate the plurality of scores. 
     As further shown in  FIG. 4 , process  400  may include determining whether the diversity risk score satisfies one or more thresholds of the diversity risk threshold scale (block  450 ). For example, the device may determine whether the diversity risk score satisfies one or more thresholds of the diversity risk threshold scale based on comparing the diversity risk score to the diversity risk threshold scale, as described above. The one or more thresholds may include a first threshold of the diversity risk threshold scale that is associated with a first diversity risk level, a second threshold of the diversity risk threshold scale that is associated with a second diversity risk level that is less than the first diversity risk level, and a third threshold of the diversity risk threshold scale that is associated with a third diversity risk level that is less than the second diversity risk level. 
     As further shown in  FIG. 4 , process  400  may include performing one or more actions based on whether the diversity risk score satisfies the one or more thresholds of the diversity risk threshold scale (block  460 ). For example, the device may perform one or more actions based on whether the diversity risk score satisfies the one or more thresholds of the diversity risk threshold scale, as described above. The device may monitor performance of the one or more actions to identify an additional action and may perform the additional action. 
     In some implementations, when performing the one or more actions, the device may cause one or more parameters to be changed for one of the wireless network devices, may cause traffic to be rerouted from a path associated with one of the wireless network devices to a different path, and/or may cause adjustment of one or more antennas for one of the wireless network devices. Alternatively, and/or additionally, the device may cause an autonomous vehicle and/or a technician to be dispatched to service one of the wireless network devices, may cause a new path to be installed for one of the wireless network devices, and/or may place an order for a new wireless network device. 
     In some implementations, when performing the one or more actions, the device may cause one or more parameters to be changed for one of the wireless network devices. The device may receive feedback associated with causing the one or more parameters to be changed. The device may cause the one or more parameters to be further changed for the one of the wireless network devices based on the feedback. 
     In some implementations, when performing the one or more actions, the device may cause traffic to be rerouted from a path associated with one of the wireless network devices to a different path. The device may receive feedback associated with causing the traffic to be rerouted from the path associated with the one of the wireless network devices to the different path. The device may cause traffic to be rerouted from the path associated with the one of the wireless network devices to another different path based on the feedback. 
     In some implementations, when performing the one or more actions, the device may cause adjustment of one or more antennas for one of the wireless network devices. The device may receive feedback associated with causing the one or more antennas to be adjusted. The device may cause further adjustment of the one or more antennas for the one of the wireless network devices based on the feedback. 
     Although  FIG. 4  shows example blocks of process  400 , in some implementations, process  400  may include additional blocks, fewer blocks, different blocks, or differently arranged blocks than those depicted in  FIG. 4 . Additionally, or alternatively, two or more of the blocks of process  400  may be performed in parallel. 
     As used herein, the term “component” is intended to be broadly construed as hardware, firmware, or a combination of hardware and software. It will be apparent that systems and/or methods described herein may be implemented in different forms of hardware, firmware, and/or a combination of hardware and software. The actual specialized control hardware or software code used to implement these systems and/or methods is not limiting of the implementations. Thus, the operation and behavior of the systems and/or methods are described herein without reference to specific software code—it being understood that software and hardware can be used to implement the systems and/or methods based on the description herein. 
     As used herein, satisfying a threshold may, depending on the context, refer to a value being greater than the threshold, greater than or equal to the threshold, less than the threshold, less than or equal to the threshold, equal to the threshold, not equal to the threshold, or the like. 
     To the extent the aforementioned implementations collect, store, or employ personal information of individuals, it should be understood that such information shall be used in accordance with all applicable laws concerning protection of personal information. Additionally, the collection, storage, and use of such information can be subject to consent of the individual to such activity, for example, through well known “opt-in” or “opt-out” processes as can be appropriate for the situation and type of information. Storage and use of personal information can be in an appropriately secure manner reflective of the type of information, for example, through various encryption and anonymization techniques for particularly sensitive information. 
     Even though particular combinations of features are recited in the claims and/or disclosed in the specification, these combinations are not intended to limit the disclosure of various implementations. In fact, many of these features may be combined in ways not specifically recited in the claims and/or disclosed in the specification. Although each dependent claim listed below may directly depend on only one claim, the disclosure of various implementations includes each dependent claim in combination with every other claim in the claim set. As used herein, a phrase referring to “at least one of” a list of items refers to any combination of those items, including single members. As an example, “at least one of: a, b, or c” is intended to cover a, b, c, a-b, a-c, b-c, and a-b-c, as well as any combination with multiple of the same item. 
     No element, act, or instruction used herein should be construed as critical or essential unless explicitly described as such. Also, as used herein, the articles “a” and “an” are intended to include one or more items, and may be used interchangeably with “one or more.” Further, as used herein, the article “the” is intended to include one or more items referenced in connection with the article “the” and may be used interchangeably with “the one or more.” Furthermore, as used herein, the term “set” is intended to include one or more items (e.g., related items, unrelated items, or a combination of related and unrelated items), and may be used interchangeably with “one or more.” Where only one item is intended, the phrase “only one” or similar language is used. Also, as used herein, the terms “has,” “have,” “having,” or the like are intended to be open-ended terms. Further, the phrase “based on” is intended to mean “based, at least in part, on” unless explicitly stated otherwise. Also, as used herein, the term “or” is intended to be inclusive when used in a series and may be used interchangeably with “and/or,” unless explicitly stated otherwise (e.g., if used in combination with “either” or “only one of”). 
     In the preceding specification, various example embodiments have been described with reference to the accompanying drawings. It will, however, be evident that various modifications and changes may be made thereto, and additional embodiments may be implemented, without departing from the broader scope of the invention as set forth in the claims that follow. The specification and drawings are accordingly to be regarded in an illustrative rather than restrictive sense.