The disclosure relates to a 5th Generation (5G) or 6th Generation (6G) communication system for supporting a higher data transmission rate. A method performed by a session management function (SMF) entity in a wireless communication system is provided. The method includes transmitting, to a user plane function (UPF) entity, information indicating a list of quality of service (QoS) flows over which access performance measurements are to be performed, receiving, from the UPF entity, information indicating user datagram protocol (UDP) ports allocated for the QoS flows, and transmitting, to a user equipment (UE), information including the list of QoS flows and the UDP ports.

Aspects of the subject disclosure may include, for example, monitoring communication traffic in a communication network including a plurality of cell sites and a plurality of collector circuits over a time period, storing information about the communication traffic and information about available network resources in a database and predicting where additional capacity will be needed in the communication network at a future time, wherein the predicting is based on the information about the communication traffic. The subject disclosure may further include improving assignment of additional capacity in the communication network between the plurality of cell sites and the plurality of collector circuits based on the information about available network resources and communicating with network switches to assign the additional capacity within the communication network and initiate communication in the communication network. Other embodiments are disclosed.

A method of optimizing Overload Control Information (OCI) handling for a Control Plane (CP) that has a first association with a first User Plane (UP 1) and a second association with a second User Plane (UP 2) includes: upon receiving from UP 1 an OCI containing i) overload reduction metric defining a target number of sessions for the first association, and ii) a specified period of validity for the OCI handling, initiating a timer for the period of validity for the OCI handling; periodically checking the number of sessions currently being handled by the first association; initiating new sessions with UP 1 if the number of sessions currently being handled by the first association is below the target number of sessions; and not initiating new sessions with the UP 1 if the number of sessions currently being handled by the first association is above the target number of sessions.

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, device, and apparatus for optimizing unbalanced loads covered by a same network and a storage medium are provided. The method includes: determining whether loads of cells covered by a same network are balanced; determining, if the loads of the cells are unbalanced, a cell with a highest network load rate and a cell with a lowest network load rate in the cells; determining a target offset parameter corresponding to a predetermined index according to a timing advance and the number of sampling points of each of the cell with the highest network load rate and the cell with the lowest network load rate; and adjusting a load of the cell with the highest network load rate and a load of the cell with the lowest network load rate based on the target offset parameter.

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 for transmitting data includes: determining whether a length of cached data of user equipment (UE) is no less than a first preset threshold; in response to determining that the length of the cached data of the UE is no less than the first preset threshold, dividing, in a preset mode, the cached data into two groups of data; and uploading the two groups of data to a base station respectively through a mobile network and a wireless local area network (WLAN).

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.

An information handling system executing an on-demand network slice overlay optimization system includes a processor executing the on-demand network slice overlay optimization system to receive wireless network load profile metrics from a regional edge device and the endpoint load profile metrics; receive core metrics from a radio access network (RAN) service provider descriptive of the load capacity of a core network to provide data throughput at a given time; determine whether the real-time data load demand of the grouped plurality of endpoint devices can be provisioned to the load capacity described in the core metrics; and provide instructions to dynamically adjust network slices at the regional edge device to provide for any changes in the real-time data load demand based on an elastic client business policy enforced at the regional edge device for wireless connectivity data for the grouped plurality of endpoint devices.

A method implemented at one or more base stations for a power management of the one or more base stations in a wireless communication network is disclosed. The method includes transmitting, by the one or more base stations, a plurality of Key Performance Indicator (KPI) parameters associated with the one or more base stations to a federal server controller. The method includes receiving, by the one or more base stations from the federal server controller, a KPI relationship predicting a future load based on the plurality of KPI parameters associated with the one or more base stations. The method includes adjusting, by the one or more base stations, a Central Processing Unit (CPU) frequency associated with the one or more base stations autonomously based on the KPI relationship for managing the future load associated with the one or more base stations.