A communication method includes: sending, by a policy control network element, first query information to a data analytics network element, where the first query information is used to obtain service quality information; and receiving, by the policy control network element, first response information sent by the data analytics network element, where the first response information includes the quality information that is of the service and that is requested using the first query information.

A master RAN node (1) sends, to a control plane function (5) in a core network (4), a modification request for modification of a first PDU session already established between a radio terminal (3) and a user plane function (6) in the core network (4). The modification request implicitly or explicitly indicates that PDU session split is needed for the first PDU session. The modification request causes the control plane function (5) to control the user plane function (6) to move a specific one or more QoS flows of a plurality of QoS flows associated with the first PDU session from a first tunnel between the user plane function (6) and the master RAN node (1) to a second tunnel between the user plane function (6) and a secondary RAN node (2). This contributes, for example, to implementing PDU session split in a radio communication network.

A data link quality-based offloading method in dual connectivity includes determining a quality of a bearer link on a user equipment UE side by determining and setting, determining a quality of a radio link by parameters or conditions such as timing advance (TA) timeout, a bit error rate, a signal strength or a signal amplitude, a threshold of continuous scheduling request (SR) sending, a radio link control (RLC) sliding window, a T310 timer, and a triggering of a beam failure recovery process, selecting, based on a determining result, a manner such as a packet replication or selecting a link, and transmitting data through two links.

An information processing method, device and apparatus, and a computer-readable storage medium are provided. The method includes: for a new data transmission resource of a sidelink interface, selecting a sidelink destination ID according to a CSI MAC CE of the sidelink interface; or, for the new data transmission resource of the sidelink interface, in case that a transport block (TB) transmitted at the new data transmission resource includes a CSI MAC CE, performing a packet discard decision according to the included CSI MAC CE.

A bearer configuration method and apparatus, and a terminal. The method includes: sending a first reconfiguration message to a relay terminal, where the first reconfiguration message carries configuration information of a first RLC bearer; and sending a second reconfiguration message to a second terminal, or sending, by the relay terminal, a second reconfiguration message to a second terminal, where the second reconfiguration message carries configuration information of a second RLC bearer.

A communication device is installed on a moving body and capable of communicating with an external device via a plurality of communication lines. The communication device includes a controller configured to transmit streaming data to the external device via at least one of the plurality of communication lines. The controller determines whether or not prediction accuracy of a line quality of each of the plurality of communication lines at a moving body position being a position of the moving body satisfies an allowable condition. When the prediction accuracy of the line quality at the moving body position does not satisfy the allowable condition, the controller transmits, at the moving body position, same packets of the streaming data in parallel via the plurality of communication lines to the external device.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Disclosed is a method of fault recovery in a multi-hop network having a plurality of nodes, defining a route, comprising the steps of: determining that a fault exists between two of the plurality of nodes (B, C); performing a hierarchical fault recovery process.

A method, a system, and a non-transitory storage medium provide for encoding a general packet radio service (GPRS)-tunnel endpoint identifier (GTP-TEID) with data identifying radio frequency (RF) bandwidths supported in a local radio environment (LRE) from which a user equipment (UE) device accesses the wireless access station; sending, via a signaling channel, the GTP-TEID to a core network device; notifying one or more core network devices of an RF bandwidth category level corresponding to the identified RF bandwidths; and applying at least one of a policy rule or a charging rule to a packet data unit (PDU) session for the UE device, based on the RF bandwidth category level.

Various arrangements for performing navigation based on characteristics of a cellular network are provided. A quality of experience (QoE) level required for a wireless service to be performed for a networked device may be determined. A current location and a destination for a vehicle may be determined. A wireless network coverage area map may be accessed that maps network performance characteristics for the cellular network across a geographic region. A navigation route from the current location to the destination based on the wireless network coverage area map and the determined QoE may be determined. The determined navigational route may be output to a navigation system.

This application discloses a wireless signal propagation prediction method, and the method includes: obtaining S first sampling points in prediction space, and obtaining a first parameter of the prediction space through calculation based on location information of the S first sampling points and corresponding wireless signal received strength; obtaining a target algorithm based on the first parameter, and generating a wireless signal propagation model of the prediction space based on the target algorithm, the location information of the S first sampling points, and the corresponding wireless signal received strength; and obtaining wireless signal received strength of a terminal at any location in the prediction space based on the wireless signal propagation model of the prediction space. This application further discloses a wireless signal propagation prediction apparatus.