Predicting network throughput and balancing network loads may be provided. Predicting network throughput and balancing network loads can comprise receiving traffic information from a plurality of Access Points (APs). Based on the traffic information, traffic associated with the plurality of APs can be modeled. Based on the modeled traffic, a gain in AP efficiency for one or more APs of the plurality of APs can be modeled when modifying Station (STA) traffic of a STA. A recommendation can be sent to one or more recipient APs of the plurality of APs, wherein the recommendation indicates the gain in AP efficiency for the one or more APs when modifying the STA traffic.

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.

In a wireless communication system, the impact on communication quality at other terminals when data transmission and reception is newly started is reduced.

The wireless communication system includes: a first terminal device that is performing wireless communication; a second terminal device that attempts to perform data transmission and reception through wireless communication; and a throughput management device that manages throughputs of the first terminal device and the second terminal device. The second terminal device transmits to the throughput management device a throughput calculation request message requesting throughput calculation for data transmission and reception through wireless communication. In response to receiving a throughput calculation response message, which is a response to the throughput calculation request message, the second terminal device starts data transmission and reception according to a recommended throughput included in the throughput calculation response message.

Managing connections to be established between clients and access points for the purposes of accessing wireless services is contemplated. The connections may be managed according to a predictive load balancing strategy where connections may be established and adjusted in anticipation of predicted client demands, such as to achieve an optimized throughput.

Managing wireless access points and/or other devices providing wireless signaling to multiple clients is contemplated. The wireless access point may be managed according to a load balancing strategy directed towards achieving desired network throughput using forced disassociation of clients based on traffic type or other service related indicators and/or force disassociation of roaming partners based on neighboring access point capabilities.

Managing connections to be established between clients and access points for the purposes of accessing wireless services is contemplated. The connections may be managed according to a predictive load balancing strategy where connections may be established and adjusted in anticipation of predicted client demands, such as to achieve an optimized throughput.

Managing wireless access points and/or other devices providing wireless signaling to multiple clients is contemplated. The wireless access point may be managed according to a load balancing strategy directed towards achieving desired network throughput using forced disassociation of clients based on traffic type or other service related indicators and/or force disassociation of roaming partners based on neighboring access point capabilities.

Real-time statistics of station RU needs are received. Additionally, real-time statistics of access point RU allocation are received. Real-time statistics for stations and access point history are stored. An artificial intelligence (AI) predictive model is generated for each station based on historical traffic needs. AI model to allocate access point RUs for specific stations in real-time.

A data router serves User Equipment (UEs) over network connections to network slices. The data router receives a container configuration and a connection configuration from a wireless communication network. The data router exchanges user data with the UEs. The data router executes data applications in operating system containers based on the container configuration. The data applications exchange the user data with the network slices over the network connections based on the connection configuration.

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.