Patent Description:
A mobile application is executed by a user equipment (UE), e.g. a mobile device like a smartphone, and communicates with a corresponding application backend accessible via a radio access network (RAN) in many cases. For communicating with the application backend the mobile application establishes a wireless connection to the application backend via an access node of the radio access network.

The wireless connection uses spectral resources of the radio access network which are allocated to the wireless connection by a scheduler of the access node. Usually, the spectral resources of the radio access network are allocated according to a best effort system. However, the spectral resources may also be allocated according to a service quality (Quality of Service, QoS) which, for example, may be associated with a mobile tariff.

As the spectral requirement of the mobile application may vary during execution the scheduler has to permanently adjust the spectral resources allocated to the wireless connection for ensuring a sufficient operational quality of the mobile application.

<CIT> and <CIT> each disclose a method for assigning a service quality to a wireless connection of a radio access network. The service quality is assigned depending on a matrix-type quality function comprising a plurality of operating points of a mobile application transmitted by the mobile application wherein each operating point is defined by one or more quality parameters determining the service quality of the wireless connection.

<CIT> discloses a mobile computing device and a method for assigning a service quality to a wireless connection used by a mobile application wherein the service quality is determined by a quality of service matrix stored in the mobile communication device.

The mobile application may, however, at least temporarily suffer from a poor operational quality when a plurality of mobile applications with respective varying spectral requirements are connected to the access node and the spectral resources of the radio access network are not allocated optimally among the plurality of mobile applications.

It is therefore an object of the invention to suggest a method for assigning a service quality of a radio access network to a wireless connection which ensures a best possible operation of a mobile application and each further mobile application being connected to an access node of the radio access network. Further objects of the invention are providing an access node of a radio access network and a computer program product for an access node of a radio access network.

A first aspect of the invention is a method for assigning a service quality of a radio access network to a wireless connection, comprising the steps: a mobile application establishes a wireless connection to an application backend via an access node of a radio access network, and a scheduler of the radio access network assigns a service quality of the radio access network to the established wireless connection. These steps are widely carried out by mobile applications being executed by user equipment (UE) devices, e.g. smartphones and the like, and schedulers of existing radio access networks, e.g. mobile communication networks, in order to allow the mobile applications for communicating with respective application backends accessible via the radio access networks.

According to the invention the mobile application transmits a quality function to the radio access network and the scheduler assigns the service quality depending on the transmitted quality function. The quality function may be transmitted to the radio access network when establishing the wireless connection or in advance, i.e. before establishing the wireless connection. For instance, the quality function may be transmitted to the radio access network when the mobile application is executed for the first time. The quality function defines a dependency of an operational quality of the mobile application on the service quality of the radio access network. In other words, the quality function lets the scheduler know which operational quality the mobile application achieves with a particular service quality of the radio access network.

Of course, the application may transmit a plurality of quality functions each quality function depending on a different parameter of the service quality. Or the application may transmit a single quality function depending on a plurality of different parameters of the service quality. The quality function enables the scheduler to assign the service quality appropriately for a predetermined operational quality of the mobile application. Thus, transmitting the quality function allows for a best possible operational quality of the mobile application and a best possible collective operational quality of all mobile applications each being wirelessly connected to the access node.

Still according to the invention, a minimum data rate and/or a maximum latency for uplink and downlink, respectively, are assigned as a parameter of the service quality. Allocating a minimum data rate to the wireless connection prevents the wireless connection from being too narrow while allocating a maximum latency to the wireless connection prevents the wireless connection from being too delayed with respect to the requirements of the mobile application for a normal operation.

Still according to the invention, a predefined combination of a minimum data rate and a maximum latency for uplink and downlink, respectively, is assigned as the service quality. A specification of a radio communication protocol may define a plurality of predetermined combinations of a minimum data rate value and a maximum latency value. The combinations may cover a range from a practical non-availability to an ideal availability of a data rate and/or latency and may prefer either the data rate or the latency between the non-availability and the ideal availability.

The quality function is transmitted as a quality matrix with discrete latency values as row indices of the quality matrix, discrete data rate values as column indices of the quality matrix and quality indices as maxtrix elements of the quality matrix. The quality matrix is a two-dimensional object and represents a both data rate-dependent and latency-dependent quality function. The quality matrix, hence, is a very efficient way of covering the two important parameters of the service quality. Of course, a quality "matrix" combining more than two parameters of the service quality is also possible.

In these embodiments, a plurality of quality combinations is created by combining a discrete data rate value with a discrete latency value and the quality indices are created by ranking the created quality combinations according to the respective operational quality of the mobile application. In other words, quality values indicating the operation of the mobile application are determined for each combination and ordered from the highest quality value indexed with <NUM> to the lowest quality value indexed with the highest index. The quality values may be measured empirically or simulated numerically.

Advantageously, a plurality of equidistant discrete quality values is selected from a quality range from a zero quality to a saturation quality and indexed and both a discrete data rate value and a discrete latency value are determined for each selected discrete quality value by deploying the inverse of the quality function and indexed corresponding to the selected discrete quality value. The saturation quality can not be substantially increased by allocating more spectral resources while the mobile application requires at least the spectral resources allowing for the zero quality of the operation and is not operational with less spectral resources. Discretizing the quality function reduces the amount of data to transmit or can be used to establish the quality matrix.

A data rate-dependent quality function is preferably established over a data rate range from a minimum functional data rate related to the zero quality to a saturation data rate related to the saturation quality and a latency-dependent quality function is established over a latency range from a saturation latency related to the saturation latency to a maximum functional latency related to the zero quality. The data rate-dependent quality function and the latency-dependent quality function cover a data rate range and a latency range, respectively, the operational quality of the mobile application varies within from zero to saturation.

The scheduler may determine a cost value for each element of the quality matrix according to a combination of the discrete data rate value and the discrete latency value of the maxrix element and establishes a cost matrix of the mobile application corresponding to the quality matrix. In case of LTE, for instance, resource elements (RE) are the physical units to be considered as costs of a wireless connection. A resource element is a subcarrier of an orthogonal frequency division multiplex (OFDM) symbol which is defined in a frequency range of <NUM> and has a duration of <NUM>,<NUM>. A resource block (RB) combines a plurality of resource elements, e.g. <NUM> or <NUM>, and is the smallest unit to be allocated to a wireless connection as the spectral resource. Different radio technology standards, e.g. <NUM>, use similar concepts for quantifying a spectral resource of a radio access network.

The number of resource blocks for ensuring a minimum data rate depends from the signal-to-interference plus noise ratio (SINR) of the access node and may be measured as a so-called channel quality indicator (CQI). The channel quality indicators have to be reduced by connection overhead like signaling, forwarding error correction, retransmissions and the like. The service quality or channel quality has to be sufficiently high for allowing a packet transmission with an instantaneous bit rate, wherein the instantaneous bit rate is given as eight times the packet size in byte divided by the latency in seconds. Accordingly, the cost value for an element of the quality matrix may be calculated as a relation of the resource blocks required for a determined service quality to the resource blocks being totally provided by the access node of the radio access network, i.e. the spectral capacity of the radio cell established by the access node. With this definition each cost value is in a range from zero to one.

An optimization service being requested by the scheduler preferably determines a minimum of an overall cost function, the overall cost function summing a plurality of cost values each cost value being an element of the cost matrix of a mobile application being connected to the access node. In other words, the overall cost function comprises a cost matrix for each mobile application being wirelessly connected to the access node. Accordingly, at the determined minimum of the overall cost function both the service quality of the mobile application and a collective service quality of all mobile applications being connected to the access node are optimal. The optimization service may be provided by an edge data center and may control an optimizer to solve the corresponding minimization problem. With a very efficient optimization service and/or optimizer service qualities may be reassigned and spectral resources may be reallocated by the scheduler at least near-time.

In some embodiments, the scheduler reallocates spectral resources from a further mobile application to the mobile application in order to protect the mobile application from a poor operational quality. This case may occur when the mobile application suffers from a lowered operational quality, i.e. spectral resources are removed from the wireless connection.

Alternatively or additionally, the scheduler reallocates spectral resources from a further mobile application to the mobile application when the mobile application requests a higher operational quality. This case may occur when the communication between the mobile application and the application backend requires a higher data rate and/or a lower latency due to a change of state.

It is preferred that the spectral resources are reallocated when a collective operational quality of all mobile applications does not fall below a predetermined collective operational quality threshold after the reallocation. The collective operational quality threshold prevents a poor operational quality of a plurality of mobile application to the benefit of few mobile applications being connected to the access node.

Optionally, the scheduler transmits the assigned service quality to the mobile application in-band or out-of band. In-band, the parameters of the service quality may be transmitted as enum values which may be coded in DiffServ Bits. Out-band, the quality indices may be transmitted as key-value pairs. Key-value pairs are, for instance, used for JSON objects.

Another aspect of the invention is an access node of a radio access network with a scheduler. Access nodes having a scheduler are widely used by radio access networks. Consequently, there are many scenarios for applying the invention.

According to the invention the scheduler is configured for carrying out a method according to the invention. Due to the configuration the scheduler ensures a best possible operation of the mobile application and all mobile applications being connected to the access node at the same time which improves a user experience (UX) when executing the mobile application on the user equipment.

A third aspect of the invention is a computer program product for an access node of a radio access network, comprising a computer readable storage medium storing a program code, the program code being executable by a scheduler of the access node. The computer program product may be a CD, a DVD, a USB stick and the like. The computer program product may also be a memory chip, a hard drive, a cloud server, a repository, an image, a file share and the like. The program code stored on the computer program product may be executable by the scheduler of the access node of the radio access network.

According to the invention the program code causes the scheduler to carry out a method according to the invention when being executed by a processor of the access node. The program code improves the operation of the scheduler regarding the assignment of a service quality and an allocation of spectral resources of a radio access network.

It is an essential advantage of the invention that spectral resources of a radio access network may be allocated to a plurality of mobile applications connected to an access node of the radio access network thereby allowing both a possible best operation of a single mobile application and a possible best operation of the plurality of mobile application. In other words, an individual requirement for service quality, i.e. spectral resources, may be optimally balanced with a collective requirement for service quality, i.e. spectral resources. As a consequence, a satisfactory operation of a mobile application requiring a particularly large data rate and/or a particularly small latency is guaranteed even when a plurality of mobile applications are simultaneously connected to the access node which improves a user experience of the radio access network. Additionally, a mobile network operator (MNO) might create new business models being based on a service quality, i.e. a quality of service (QoS).

Further advantages and configurations of the invention become apparent from the following description and the enclosed drawings.

It shall be understood that the features described previously and to be described subsequently may be used not only in the indicated combinations but also in different combinations or on their own without leaving the scope of the present invention.

The invention is described in detail by means of an exemplary embodiment and with reference to the drawings.

<FIG> schematically shows a structural diagram of a radio access network <NUM> according to an embodiment of the invention. The radio access network <NUM> comprises a plurality of access nodes <NUM>, <NUM> with the access node <NUM> being configured as a base station or a NodeB of a cellular communication network and the access node <NUM> being configured as a W-LAN router. Each access node <NUM>, <NUM> supports corresponding wireless connections <NUM>, <NUM>, the wireless connection <NUM> being configured according to a standardized radio technology, i.e. LTE, <NUM>, a previous or a future radio technology standard and the wireless connection <NUM> being configured according to the standard IEEE <NUM> family.

Furthermore, the radio access network <NUM> comprises a plurality of edge data centers <NUM> and a backbone, i.e. a core, having a plurality of stationary backbone nodes <NUM>. The stationary backbone nodes <NUM> are not qualified in detail for avoiding any confusion as they are not essential for the invention. The radio access network <NUM> provides wireless connections to a plurality of user equipment devices <NUM>, the wireless connections allowing the user equipment (UE) devices <NUM> to access the edge data center <NUM> or an internet <NUM> the latter being symbolized as a cloud.

Each access node <NUM>, <NUM> of the radio access network <NUM> establishes a radio cell of the radio access network <NUM> and comprises a scheduler for assigning a service quality and allocating a spectral resource of the radio access network to a mobile application being executed by the user equipment <NUM> and being connected to the radio access network <NUM>. The edge data center <NUM> or the internet <NUM> may comprise and execute an application backend for the mobile application.

The access node <NUM>, <NUM> may be configured by a computer program product for the access node <NUM>, <NUM> of the radio access network <NUM>. The computer program product comprises a computer readable storage medium storing a program code. The program code is executable by the scheduler of the access node <NUM>, <NUM> and causes the scheduler to carry out the following method for allocating a spectral resource of the radio cell of the radio access network <NUM> to the mobile application when being executed by a processor the access node.

When the mobile application establishes a wireless connection <NUM>, <NUM> to the application backend via the access node <NUM>, <NUM> of the radio access network <NUM>, the mobile application may transmit a quality function <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM> (<FIG>, <FIG>) defining a dependency of an operational quality of the mobile application on a service quality of the radio access network <NUM>. The mobile application may transmit the quality function as a quality matrix <NUM>, <NUM>, <NUM> (see <FIG>) when establishing the wireless connection <NUM>, <NUM>.

The scheduler receives the transmitted quality function <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM> or the transmitted quality matrix <NUM>, <NUM>, <NUM> and assigns a service quality of the radio access network <NUM> to the established wireless connection <NUM>, <NUM> depending on the transmitted quality function <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM> or the transmitted quality matrix <NUM>, <NUM>, <NUM>. A minimum data rate and/or a maximum latency for uplink and downlink, respectively, may be assigned as a parameter of the service quality. Preferably, a predefined combination of a minimum data rate and a maximum latency for uplink and downlink, respectively, is assigned as the service quality. The scheduler may transmit the assigned service quality to the mobile application in-band or out-of band.

The quality function may be chosen to be data rate-dependent quality function <NUM>, <NUM>, <NUM>, <NUM> (<FIG>). The data rate-dependent quality function <NUM>, <NUM>, <NUM>, <NUM> is established over a data rate range from a minimum functional data rate <NUM> related to a zero quality <NUM> to a saturation data rate <NUM> related to a saturation quality <NUM>.

<FIG> schematically shows a graph <NUM> with a first data rate-dependent quality function <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The graph <NUM> comprises an abscissa <NUM> indicating an increasing data rate and an ordinate <NUM> indicating an increasing quality of the operation of the executed application. The first data rate-dependent quality function <NUM> starts from the minimum functional data rate <NUM> and increases substantially linearly until reaching the saturation data rate <NUM>. The value of the first data rate-dependent quality function <NUM> at the minimum functional data rate <NUM> is set to zero, i.e. related to the zero quality <NUM>. The value of the first data rate-dependent quality function <NUM> at the saturation data rate <NUM> is related to the saturation quality <NUM>. The first data rate-dependent quality function <NUM> is substantially constant above the saturation data rate <NUM>, i.e. data rates greater than the saturation data rate <NUM> do not substantially improve the quality of the operation of the executed mobile application.

<FIG> schematically shows a graph <NUM> with a second data rate-dependent quality function <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The graph <NUM> is structural identical with the graph <NUM> shown in <FIG>. However, the second data rate-dependent quality function <NUM> differs from first data rate-dependent quality function <NUM> by the functional course between the minimum functional data rate <NUM> and the saturation data rate <NUM>, the functional course being right-curved.

<FIG> schematically shows a graph <NUM> with a third data rate-dependent quality function <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The graph <NUM> is structural identical with the graphs <NUM>, <NUM> shown in <FIG>, <FIG>, respectively. However, the third data rate-dependent quality function <NUM> differs from first data rate-dependent quality function <NUM> and the second data rate-dependent quality function <NUM> by the functional course between the minimum functional data rate <NUM> and the saturation data rate <NUM>, the functional course being left-curved.

<FIG> schematically shows a graph <NUM> with a fourth data rate-dependent quality function <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network shown in <FIG>. The graph <NUM> is structural identical with the graphs <NUM>, <NUM>, <NUM> shown in <FIG>, <FIG>, respectively. However, the fourth data rate-dependent quality function <NUM> differs from first data rate-dependent quality function <NUM>, the second data rate-dependent quality function <NUM> and the third data rate-dependent quality function <NUM> by the functional course between the minimum functional data rate <NUM> and the saturation data rate <NUM>, the functional course having a plurality of turnings.

The quality function may be chosen to be a latency-dependent quality function <NUM>, <NUM>, <NUM>, <NUM> (<FIG>). The latency-dependent quality function <NUM>, <NUM>, <NUM>, <NUM> is established over a latency range from a saturation latency <NUM> related to the saturation quality <NUM> to a maximum functional latency <NUM> related to the zero quality <NUM>.

<FIG> schematically shows a graph <NUM> with a first latency-dependent quality function <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The graph <NUM> comprises an abscissa <NUM> indicating an increasing latency and an ordinate <NUM> indicating an increasing quality of the operation of the executed application. The first latency-dependent quality function <NUM> starts from the saturation latency <NUM> and decreases substantially linearly until reaching the maximum functional latency <NUM>. The value of the first latency-dependent quality function <NUM> at the saturation latency <NUM> is related to the saturation latency <NUM>. The value of the first latency-dependent quality function <NUM> at the maximum functional latency <NUM> is set to zero, i.e. related to the zero quality <NUM>. The first latency dependent quality function <NUM> is substantially constant below the saturation latency <NUM>, i.e. latencies smaller than the saturation latency <NUM> do not substantially improve the quality of the operation of the executed application.

<FIG> schematically shows a graph <NUM> with a second latency-dependent quality function <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The graph <NUM> is structural identical with the graph <NUM> shown in <FIG>. However, the second data rate-dependent quality function <NUM> differs from first data rate-dependent quality function <NUM> by the functional course between the saturation latency <NUM> and the maximum functional latency <NUM>, the functional course being left-curved.

<FIG> schematically shows a graph <NUM> with a third-latency dependent quality function <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The graph <NUM> is structural identical with the graphs <NUM>, <NUM> shown in <FIG>, respectively. However, the third latency-dependent quality function <NUM> differs from first latency-dependent quality function <NUM> and the second latency-dependent quality function <NUM> by the functional course between the saturation latency <NUM> and the maximum functional latency <NUM>, the functional course being right-curved.

<FIG> schematically shows a graph <NUM> with fourth latency-dependent quality function <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The graph <NUM> is structural identical with the graphs <NUM>, <NUM>, <NUM> shown in <FIG>, respectively. However, the fourth data rate-dependent quality function <NUM> differs from first latency-dependent quality function <NUM>, the second latency-dependent quality function <NUM> and the third latency-dependent quality function <NUM> by the functional course between the saturation latency <NUM> and the maximum functional latency <NUM>, the functional course having a plurality of turnings.

In case the quality function <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM> is transmitted as a quality matrix <NUM>, <NUM>, <NUM> (see <FIG>), a plurality of equidistant discrete quality values <NUM>, <NUM> (<FIG>) may be selected from a quality range from the zero quality <NUM>, <NUM> to the saturation quality <NUM>, <NUM> and indexed and both a discrete data rate <NUM> value and a discrete latency value <NUM> are determined for each selected discrete quality value <NUM>, <NUM> by deploying the inverse of the quality function <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM> and indexed corresponding to the selected discrete quality value <NUM>, <NUM>.

<FIG> schematically shows a graph <NUM>' with discrete values <NUM>, <NUM> of the data rate-dependent quality function <NUM> shown in <FIG>. Six equidistant discrete quality values Q0, Q1, Q2, Q3, Q4, Q5 are selected from the quality range from the zero quality <NUM> to the saturation quality <NUM>, wherein Q0 is the zero quality <NUM> and Q5 is the saturation quality <NUM>. The six quality values Q0, Q1, Q2, Q3, Q4, Q5 are mapped to six discrete data rate values B0, B1, B2, B3, B4, B5, wherein B0 is the minimum functional data rate and B5 is the saturation data rate.

<FIG> schematically shows a graph <NUM>' with discrete values <NUM>, <NUM> of the latency-dependent quality function <NUM> shown in <FIG>. The six quality values Q0, Q1, Q2, Q3, Q4, Q5 are mapped to six discrete data rate values L0, L1, L2, L3, L4, L5, wherein L0 is the maximum functional latency and L5 is the saturation latency.

The quality matrix <NUM>, <NUM>, <NUM> (see <FIG>) combines the data rate-dependent quality function and the latency-dependent quality function and has the discrete latency values <NUM> as row indices of the quality matrix <NUM>, <NUM>, <NUM> and the discrete data rate values <NUM> as column indices of the quality matrix <NUM>, <NUM>, <NUM> and quality indices <NUM>, <NUM>, <NUM> as maxtrix elements of the quality matrix <NUM>, <NUM>, <NUM>.

The quality indices <NUM>, <NUM>, <NUM> are created by ranking a plurality of quality combinations according to the respective operational quality of the mobile application wherein each quality combination is created by combining a discrete data rate value <NUM> with a discrete latency value <NUM>.

<FIG> schematically shows a first quality matrix <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The row indices are the discrete latency indices L0, L1, L2, L3, L4, L5 while the column indices are the discrete data rate indices B0, B1, B2, B3, B4, B5. The left upper matrix element is indicated by B5, L5 while the right lower matrix element is indicated by B0, L0, i.e. the left upper matrix element indicates best spectral resources for the mobile application while the right lower matrix indicates worst spectral resources for the mobile application. The quality indices <NUM> increase with a decreasing operational quality of the mobile application, i.e. the quality index "<NUM>" indicates the highest operational quality of the mobile application while the quality index "<NUM>" indicates the lowest operational quality of the mobile application. The first quality matrix <NUM> relates to a mobile application which benefits from a small latency more than from a large data rate. Correspondingly, the quality indices <NUM> increase within each row first.

<FIG> schematically shows a second quality matrix <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The second quality matrix <NUM> is structural identical with the first quality matrix shown in <FIG>. The quality matrix <NUM> relates to a mobile application which benefits from a large data rate more than from a small latency. Correspondingly, the quality indices <NUM> increase within each column first.

<FIG> schematically shows a third quality matrix <NUM> of a mobile application being executed by a user equipment <NUM> being connected to the radio access network <NUM> shown in <FIG>. The third quality matrix <NUM> is structural identical with the first quality matrix <NUM> and the second quality matrix <NUM> shown in <FIG>, respectively. The quality matrix <NUM> relates to a mobile application which approximately benefits from balanced data rates and latencies more than from unbalanced data rates and latencies. Correspondingly, the quality indices <NUM> increase with each larger quadratic submatrix.

The scheduler determines a cost value for each element of the quality matrix <NUM>, <NUM>, <NUM> according to a combination of the discrete data rate value <NUM> and the discrete latency value <NUM> of the maxrix element depending on the respective required spectral resources and establishes a cost matrix <NUM> of the mobile application corresponding to the quality matrix <NUM>, <NUM>, <NUM>. The cost value is related to the combination of spectral resources which have to be assigned to the wireless connection for ensuring the respective operational quality of the mobile application.

<FIG> schematically shows a cost matrix <NUM> of a mobile application corresponding to the first quality matrix <NUM> shown in <FIG>.

An optimization service being requested by the scheduler determines a minimum of an overall cost function, the overall cost function summing a plurality of cost values <NUM> each cost value <NUM> being an element of the cost matrix <NUM> of a mobile application being connected to the access node <NUM>, <NUM>.

Claim 1:
A method for assigning a service quality of a radio access network (<NUM>) to a wireless connection, comprising the steps:
- a mobile application establishes a wireless connection (<NUM>, <NUM>) to an application backend via an access node (<NUM>, <NUM>) of a radio access network (<NUM>);
wherein
- the mobile application transmits a quality function (<NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>) to the radio access network (<NUM>), wherein the quality function (<NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>) is transmitted as a quality matrix (<NUM>, <NUM>, <NUM>) with discrete latency values (<NUM>) as row indices of the quality matrix (<NUM>, <NUM>, <NUM>) and discrete data rate values (<NUM>) as column indices of the quality matrix (<NUM>, <NUM>, <NUM>) and quality indices (<NUM>, <NUM>, <NUM>) as matrix elements of the quality matrix (<NUM>, <NUM>, <NUM>); and
- a scheduler of the radio access network (<NUM>) assigns a service quality of the radio access network to the established wireless connection (<NUM>, <NUM>) depending on the transmitted quality function (<NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>), wherein a predefined combination of a minimum data rate and a maximum latency for uplink and downlink, respectively, is assigned as parameters of the service quality.