A network performance improvement method and an apparatus for user equipment. In the network performance improvement method, user equipment establishes a first PDN connection and transmits data of a first application program through the first PDN connection. Then, the user equipment starts a second application program and determines whether a current network status satisfies a quality of service requirement of the second application program. When determining that the current network status does not satisfy the quality of service requirement of the second application program, the user equipment starts to establish a second PDN connection, and transmits, after the second PDN connection is successfully established, at least a part of application data of the second application program through the second PDN connection.

Aspects of the disclosure relate to an interference-aware beamforming environment in which an AP controller can determine one or more beams of one or more APs to serve various STAs. For example, an AP can request that STA(s) provide one or more uplink pilot signals during different time slots. The AP can receive the uplink pilot signal(s) and determine, for each STA, the uplink beam quality of each transmit beam-receive beam pair over which an uplink pilot signal was received from the respective STA. The AP can use reciprocity to determine, for each STA, the downlink beam quality for various transmit beam-receive beam pairs. The AP can use the determined downlink beam quality to identify the best beam with which to serve various STAs. An AP controller can determine which downlink beam(s) an AP should use to serve a STA based on the downlink beams originally selected by the APs.

This application provides a slice information update method and an apparatus. The method includes: when determining that a network slice that was once not supported by a PLMN is updated to be supported by the PLMN, sending, by a network slice selection network element, a notification message to a communications network element, where the notification message is used to indicate that the PLMN supports the network slice; and notifying, by the communications network element, a terminal that failed to request the network slice and has subscribed to the network slice that the PLMN currently supports the network slice. In this way, the corresponding terminal learns that the PLMN currently supports the network slice.

A method may include receiving, at a reinforcement learning load balancer, a load metric related to available resources of a carrier. The method may also include calculating, based on the load metric, an update to carrier assignment parameters for a user. The method may further include calculating, based on the load metric, an update to uplink/downlink split proportions and resource pool split proportions. In addition, the method may include predicting an impact of the update to the carrier assignment parameters, the update to the uplink/downlink split proportions, and the update to the resource pool split proportions to the load metric. Further, the method may include communicating the update to carrier assignment parameters, the update to uplink/downlink split proportions, and the update to resource pool split proportions to one or more radio resource managers of corresponding one or more radio access technologies for application to a communication network.

Described are examples for monitoring performance metrics of one or more workloads in a cloud-computing environment and reallocating compute resources based on the monitoring. Reallocating compute resources can include migrating workloads among nodes or other resources in the cloud-computing environment, reallocating hardware accelerator resources, adjusting transmit power for virtual radio access network (vRAN) workloads, and/or the like.

Described are examples for monitoring performance metrics of one or more workloads in a cloud-computing environment and reallocating compute resources based on the monitoring. Reallocating compute resources can include migrating workloads among nodes or other resources in the cloud-computing environment, reallocating hardware accelerator resources, adjusting transmit power for virtual radio access network (vRAN) workloads, and/or the like.

Interference in preamble signals and pilot signals in cooperative transmission using interference suppressing technology is avoided. A wireless apparatus for transmitting a wireless signal on which directivity control has been performed to stations in a wireless system including at least one wireless apparatus is provided with a known signal generating unit which generates a known signal to be added to the wireless signal, a weighting processing unit which performs weighting on the known signal generated by the known signal generating unit, and a wireless processing unit which transmits the known signal on which the weighting has been performed by the weighting processing unit.

Interference in preamble signals and pilot signals in cooperative transmission using interference suppressing technology is avoided. A wireless apparatus for transmitting a wireless signal on which directivity control has been performed to stations in a wireless system including at least one wireless apparatus is provided with a known signal generating unit which generates a known signal to be added to the wireless signal, a weighting processing unit which performs weighting on the known signal generated by the known signal generating unit, and a wireless processing unit which transmits the known signal on which the weighting has been performed by the weighting processing unit.

Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.