Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a receiving device may receive, from a transmitting device that is configured to perform network coding on information from an originating device, one or more transport blocks (TBs) including the information and associated with an erasure coding scheme. The receiving device may perform decoding using the erasure coding scheme and at least one TB, of the one or more TBs. The at least one TB is selected using one or more time conditions, one or more group conditions, one or more settings indicated by the transmitting device, or a combination thereof. Numerous other aspects are described.

Disclosed in embodiments of this application are a data processing method and apparatus, a terminal device, and a non-transitory computer-readable storage medium. When the terminal device determines that a delay is less than a standard index, estimation of a load situation of a base station is triggered. Based on an obtained load value, a QoS service request can be initiated by the terminal device in a accordance with a determination that the base station is heavily-loaded, thereby effectively avoiding ineffective calling of a QoS service by the terminal device and improving effectiveness of service calling.

Methods, systems, and devices for wireless communications are described. A wireless communications entity, such as a user equipment (UE), a base station, a network core, or an application server, may identify a round-trip time (RTT) latency requirement that may pertain to a round-trip latency in wireless communications between the UE and the base station. The wireless communications entity may identify a one one-way directional delay budget that satisfies the RTT latency requirement for an application of an application server. The application server may be in communication with the UE via the base station. The wireless communications entity may modify a value of the one-way directional delay budget and transmit a message that is associated with the modified value of the one one-way directional delay budget.

The described technology is generally directed towards reducing latency in a wireless communications network. Radio access network latency data corresponding to a measured latency impact criterion is obtained by a network device of a wireless network. Based on the radio access network latency data, latency guidance data usable by the radio network device to achieve a reduction in communication latency that is experienced by a user equipment is predicted, e.g., by a learned model. The latency guidance data can be used to facilitate a reduction in the communication latency that is experienced by a user equipment.

Systems, methods, and computer software are disclosed for providing an Open Radio Access Network (RAN) networking infrastructure. In one embodiment a method is disclosed, comprising: providing real-time OpenRAN controller responsible for radio connection management, mobility management, QoS management, edge services, and interference management for the quality of end user experience; and providing a non-real-time controller in communication with the real-time OpenRAN controller, the non-real-time controller providing functionality such as configuration management, device management, fault management, performance management, and lifecycle management for all network elements in a network.

Provided are a delay performance evaluation method and apparatus and a storage medium. The delay performance evaluation method includes evaluating, by a communication node, a delay performance involved in an internal communication environment of a basic service set (BSS) where the communication node is located according to pre-acquired delay evaluation parameters caused by internal communication contention or control of the BSS; and/or evaluating, by a communication node, a delay performance involved in an external interference of a BSS where the communication node is located according to pre-acquired delay evaluation parameters caused by the external interference of the BSS.

Techniques for distributed computation are provided. A plurality of edge computing devices available to execute a computing task for a client device is identified, and a first latency of transmitting data among the plurality of edge computing devices is determined. A second latency of transmitting data from the client device to the plurality of edge computing devices is determined, and a set of edge computing devices, from the plurality of edge computing devices, is determined to execute the computing task based at least in part on the first and second latencies. Execution of the computing task is facilitated using the set of edge computing devices, where the client device transmits a portion of the computing task directly to each edge computing device of the set of edge computing devices.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first user equipment (UE) may transmit a request for a network device to establish a resource bundle, of resources to be used by nodes at hops in a time sensitive networking (TSN) bridge for TSN communications to a second UE, with a maximum latency for the TSN bridge. The first UE may transmit the TSN communications to the second UE via the TSN bridge. Numerous other aspects are described.

Aspects of the subject disclosure may include, for example, a method in which a processing system determines a set of edge locations for the network, each including a satellite antenna for communicating with a satellite of a satellite system and a transceiver for ground-based communications on the network. The method also includes analyzing content to be placed at an edge location; placing the content at the edge location for distribution over the network, configuring the network in accordance with the placing the content, and distributing the content over the network; the distributing includes transmitting the content to a satellite of the satellite system. Other embodiments are disclosed.

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.