A method (100) for managing resource usage across domains in a communication network is disclosed. The communication network comprises a radio access domain, a core domain and a transport domain providing connectivity between the radio access domain and the core domain. The method comprises receiving from the core domain an indication of load status of gateway nodes in the core domain (110), receiving from the transport domain an indication of load status of transport resources in the transport domain (120), normalising across the core and transport domain a cost of using resources in each domain (130), calculating, on the basis of the normalised costs, optimal chains of resources in the core and transport domains for providing a service from different radio access nodes to different possible Access Point Names (APNs) (140), and sending to the core and transport domains information about the calculated optimal resource chains (150). Also disclosed are methods for managing resource usage in a core domain, a transport domain and a radio access domain of a communication network, together with cross domain, core domain, transport domain and radio access domain control elements.

This application discloses a load relocation method, apparatus, and a system. The method includes determining, by a communications network entity, a target access management entity for load relocation; and sending, to an access network entity, an identifier of an original access management entity and an identifier of the target access management entity or an address of the target access management entity with respect to the access network entity. The access network entity sends a message from UE to the target access management entity based on the identifier of the original access management entity carried in the message from the UE. In the foregoing solution, signaling overheads in a load relocation process are reduced and load relocation efficiency is improved.

This application discloses a load relocation method, apparatus, and a system. The method includes determining, by a communications network entity, a target access management entity for load relocation; and sending, to an access network entity, an identifier of an original access management entity and an identifier of the target access management entity or an address of the target access management entity with respect to the access network entity. The access network entity sends a message from a user equipment (UE) to the target access management entity based on the identifier of the original access management entity carried in the message from the UE. In the foregoing solution, signaling overheads in a load relocation process are reduced and load relocation efficiency is improved.

An information handling system includes a publisher device and an offload device. Multiple subscriber devices are associated with the publisher device. The offload device communicates with the publisher device. The offload device receives a packet transmission from the publisher device, and translates a topic address of the packet transmission to multiple destination addresses. The offload device sends the packet transmission to each of the subscriber devices. Each of the subscriber devices is associated with a corresponding destination address of the multiple destination address. The offload device receives one or more acknowledgements from the subscriber devices, and combines the one or more acknowledgements into a composite completion message. The offload device sends the composite completion message to the publisher device.

This disclosure describes methods and systems for exchanging AI computing information for load prediction model between network elements of a wireless communication network. The methods include: sending, by a first network element of a wireless communication network, a first message for load prediction to a second network element of the wireless communication network, wherein the first message comprises at least one of an input to a machine learning model for load prediction of the first network element or model configuration information of the machine learning model.

According to various embodiments, a method of operating a radio access network intelligent controller (RIC) may include: identifying a deployment request for a first xAPP, based on the request, identifying information related to a message processed by each of at least some of a plurality of nodes executed in the RIC, and based on E2 node subscription-related information about the first xAPP, and deploying the first xAPP to a first node selected from among the plurality of nodes, based on the information related to the message processed by each of the at least some of the plurality of nodes.

Detection of an unbalanced network load and redistribution of network traffic to balance the network load is provided herein. Load balancing across different radios in the same sector of a cell site can be facilitated through detection of the unbalance network load and changes to one or more parameters can be made to rebalance the network load. After radios within a sector are more evenly balanced, network load balancing across sectors can be facilitated. The balancing can be performed to improve system performance, reduce a dropped call rate, as well as to achieve other benefits that can provide an improved user experience as compared to systems that do not attempt to balance the network load.

This application provides a method and apparatus for controlling traffic steering and a communications system. In an implementation of the method for controlling traffic steering, the method is applicable to an RAN node and comprises: traffic steering indication information is determined; and the traffic steering indication information is transmitted to UE, so that the UE steers corresponding traffic to a traffic steering target according to the traffic steering indication information. With the method, load balance between 3GPP RAN and WLAN at an RAN level may be ensured, and in comparison with an existing mechanism, user experiences and system performance are improved.

A system described herein may provide a technique for the determination of threshold or maximum bandwidths for links between nodes and/or User Equipment (“UEs”) in an Integrated Access Backhaul system. The maximum bandwidth for a given link may be a function of one or more of: (a) an amount of throughput associated with the link over a given time period, (b) an amount of system-wide throughput associated with the same type of link over the given time period, (c) an amount of throughput over the given time period for links of the same type that are associated with at least a threshold measure of channel quality, (d) a total system bandwidth or capacity, and (e) a total amount of throughput associated with the nodes over the given time period.

In a computer-enabled method, at a wireless network access point configured to operate in a wireless network, wherein the wireless network access point comprises a plurality of radios, a load on the wireless network access point is determined, while at least two radios of the plurality of radios are powered on. In response to the load transitioning from above a threshold to below the threshold, at least one of the powered-on radios is powered off while leaving the remaining radios of the plurality of radios powered-on.