A method for delivering quality of service to a moving user equipment in a computer network, the method including: identifying a moving user equipment on the computer network; predicting a path of travel for the user equipment; determining a load of a cell in the path of travel; determining a traffic action response based on the load of the cell; and providing the traffic action. A system for delivering quality of service to a moving user equipment in a computer network, the system including: a location module configured to identify a moving user equipment on the computer network; an analysis module configured to predict a path of travel for the user equipment; a load module configured to determine a load of a cell in the path of travel; and a traffic action module configured to determine a traffic action response based on the load of the cell and provide for the traffic action.

Several policies are trained for determining communication parameters used by mobile devices in selecting a cell of a first communication network to operate on. The several policies form a policy bank. By adjusting the communication parameters, load balancing among cells of the first communication network is achieved. A policy selector is trained so that a target communication network, different than the first communication network, can be load balanced. The policy selector selects a policy from the policy bank for the target communication network. The target communication network applies the policy and the load is balanced on the target communication network. Improved load balancing leads to a reduction of the number of base stations needed in the target communication network.

The described technology is generally directed towards a cellular network area optimizer. The area optimizer observes cellular network conditions at multiple radio access network (RAN) nodes within a target area. Based on observed conditions, the area optimizer applies a set of parameter values at the multiple RAN nodes. The set of parameter values enhances the overall throughput, while maintaining or improving connection retainability and accessibility, of the multiple RAN nodes under the observed conditions. The area optimizer learns different sets of parameter values to apply in response to different observed conditions by making parameter value adjustments and observing the effect of the adjustments on overall throughput of the RAN nodes in the target area.

The described technology is generally directed towards adaptive spectrum as a service, in which spectrum can be dynamically allocated to adapt to demand for wireless capacity. The demand for wireless capacity can be based on monitoring system state, and/or proactively predicted based on other system state such as time of day. Reallocated spectrum can be monitored for performance, to converge spectrum allocation to a more optimal state. Allocated spectrum can be relocated, increased or decreased, including by the use of citizens band radio service spectrum or other spectrum. Currently allocated spectrum can be adapted into modified allocated spectrum by an application program (xApp) coupled to a radio access network intelligent controller (RIC), a citizens broadband radio service device, a domain proxy service, and/or a user device. A user device can determine and request bandwidth, with spectrum allocated in response.

A smart multimedia content receiver automatically resizes video images based on the content being displayed on the TV screen. Such a self-formatting content receiver includes on-board image processing capability that provides continuous video analysis to detect changes in program formatting and convert each frame as it is received in real time, as opposed to processing and re-releasing an entire program or movie, or relying on the viewer to re-format programs manually. In response to detecting a change, aspect ratio adjustments are made as needed. Because the self-formatting content receiver has access to the video data before it is displayed, such automatic on-the-fly adjustments ensure that the viewer's experience during program changes is seamless and without distortion. Subscribers can influence decisions made by the content receiver by pre-setting viewer preferences for aspect ratio adjustment.

A method for deploying and sharing aerial cells in a massive machine type communication (mMTC) network includes forecasting data traffic across a plurality of mMTC network operators for each of a plurality of geographical areas. The method includes generating a forecasted plan based on the forecasted data traffic, and a hovering time of each of a plurality of aerial cells. The method includes deploying and sharing at least one aerial cell from the plurality of aerial cells between the plurality of mMTC network operators to provide coverage to at least one mMTC node in at least one geographical area of the plurality of geographical areas, based on the forecasted plan.

The described technology is generally directed towards adaptive spectrum as a service, in which spectrum can be dynamically allocated to adapt to demand for wireless capacity. The demand for wireless capacity can be based on monitoring system state, and/or proactively predicted based on other system state such as time of day. Reallocated spectrum can be monitored for performance, to converge spectrum allocation to a more optimal state. Allocated spectrum can be relocated, increased or decreased, including by the use of citizens band radio service spectrum or other spectrum. Currently allocated spectrum can be adapted into modified allocated spectrum by an application program (xApp) coupled to a radio access network intelligent controller (RIC), a citizens broadband radio service device, a domain proxy service, and/or a user device.

The described technology is generally directed towards adaptive spectrum as a service, in which spectrum can be dynamically allocated to adapt to demand for wireless capacity. The demand for wireless capacity can be based on monitoring system state, and/or proactively predicted based on other system state such as time of day. Reallocated spectrum can be monitored for performance, to converge spectrum allocation to a more optimal state. Allocated spectrum can be relocated, increased or decreased, including by the use of citizens band radio service spectrum or other spectrum. Currently allocated spectrum can be adapted into modified allocated spectrum by an application program (xApp) coupled to a radio access network intelligent controller (RIC), a citizens broadband radio service device, a domain proxy service, and/or a user device.

Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

A method of establishing one or more links for an integrated access and backhaul for a network, where the network includes a non-terrestrial node and a terrestrial node, includes determining a plurality of links to form between a non-terrestrial node and a number of nodes in the network and causing the plurality of links to be formed. The method also includes determining a plurality of routing paths for backhaul between the non-terrestrial node to a central server, providing instructions for backhaul between the non-terrestrial node and the central server using the plurality of routing paths, and transmitting a first set of data to backhaul via a first routing path of the plurality of routing paths and a second set of data to backhaul via a second routing path of the plurality of routing paths.