In a data transmission method, a transmit end may obtain a first application message generated by a target application running on the transmit end. The transmit end encapsulates the first application message to obtain a first data frame, where the first data frame includes a first frame type identifier, and the first frame type identifier indicates that an application message included in the first data frame is a complete application message. The transmit end transmits the first data frame to a receive end based on an established QUIC connection to the receive end. After receiving the first data frame, the receive end may determine, based on the first frame type identifier in the first data frame, that the application message included in the first data frame is a complete application message.

Aspects of the present disclosure are regarding configuring an Integrated Access and Backhaul (IAB) node of an IAB network to handle forwarding of packets from another device as well as packets originating in the IAB network at the IAB-node. An example method includes retrieving, by a Backhaul Adaptation Protocol (BAP) layer of the IAB-node, a packet from an upper layer or a Radio Link Control (RLC) layer of the IAB-node. The method also includes determining an egress RLC channel of an egress backhaul (BH) link with a second device for transmitting the first packet based on a first configuration in response to retrieving the first packet from the RLC layer or a second configuration in response to retrieving the first packet from the upper layer. The method also includes transmitting the first packet to the second device via the egress RLC channel of the egress BH.

Disclosed are a brain-computer interface based robotic arm self-assisting system and method. The system comprises a sensing layer, a decision-making layer and an execution layer. The sensing layer comprises an electroencephalogram acquisition and detection module and a visual identification and positioning module and is used for analyzing and identifying the intent of a user and identifying and locating positions of a corresponding cup and the user's mouth based on the user intent. The execution layer comprises a robotic arm control module that performs trajectory planning and control for a robotic arm based on an execution instruction received from a decision-making module. The decision-making layer comprises the decision-making module that is connected to the electroencephalogram acquisition and detection module, the visual identification and positioning module and the robotic arm control module to implement the acquisition and transmission of data of an electroencephalogram signal, a located position and a robotic arm status and the sending of the execution instruction for the robotic arm. The system combines the visual identification and positioning technology, a brain-computer interface and a robotic arm to facilitate paralyzed patients to drink water by themselves, improving the quality of life of the paralyzed patients.

Disclosed are a brain-computer interface based robotic arm self-assisting system and method. The system comprises a sensing layer, a decision-making layer and an execution layer. The sensing layer comprises an electroencephalogram acquisition and detection module and a visual identification and positioning module and is used for analyzing and identifying the intent of a user and identifying and locating positions of a corresponding cup and the user's mouth based on the user intent. The execution layer comprises a robotic arm control module that performs trajectory planning and control for a robotic arm based on an execution instruction received from a decision-making module. The decision-making layer comprises the decision-making module that is connected to the electroencephalogram acquisition and detection module, the visual identification and positioning module and the robotic arm control module to implement the acquisition and transmission of data of an electroencephalogram signal, a located position and a robotic arm status and the sending of the execution instruction for the robotic arm. The system combines the visual identification and positioning technology, a brain-computer interface and a robotic arm to facilitate paralyzed patients to drink water by themselves, improving the quality of life of the paralyzed patients.

A wireless communication method supporting a Rich Communication Suite (RCS) service, the method including performing an RCS provision operation corresponding to an Original Equipment Manufacturer (OEM) application in response to an RCS service request of the OEM application, transmitting an RCS function connection request to a Session Initiation Protocol (SIP) transport layer after the RCS provision operation is completed, controlling a session for an RCS function based on the RCS function connection request to obtain a dedicated bearer, and exchanging RCS media data with a network through the dedicated bearer.

This disclosure provides a decoding method and apparatus in the communications field. The method includes: extracting at least one piece of prior information from at least one first transport block that has been successfully decoded, and assembling the at least one piece of prior information into a prior information set, where one piece of prior information includes header information of a transmission protocol layer of one first transport block; when a to-be-decoded second transport block sent by a transmit end is received, selecting first prior information from the prior information set, where the second transport block is a transport block obtained by the transmit end by coding a third transport block; and decoding the second transport block based on the first prior information and first demodulation information of the second transport block, to obtain the third transport block.

This disclosure provides a decoding method and apparatus in the communications field. The method includes: extracting at least one piece of prior information from at least one first transport block that has been successfully decoded, and assembling the at least one piece of prior information into a prior information set, where one piece of prior information includes header information of a transmission protocol layer of one first transport block; when a to-be-decoded second transport block sent by a transmit end is received, selecting first prior information from the prior information set, where the second transport block is a transport block obtained by the transmit end by coding a third transport block; and decoding the second transport block based on the first prior information and first demodulation information of the second transport block, to obtain the third transport block.

A communication device includes a receiver , a transmitter that executes first transmission processing and second transmission processing , and a controller that controls the transmitter in accordance with a radio quality of wireless communication so that either the first transmission processing or the second transmission processing is executed.

A communication device includes a receiver , a transmitter that executes first transmission processing and second transmission processing , and a controller that controls the transmitter in accordance with a radio quality of wireless communication so that either the first transmission processing or the second transmission processing is executed.

Systems, methods and computer software are disclosed for providing multi-User Equipment (UE) and multi-message support in tunnel management messages. In one embodiment, a method is disclosed, comprising: determining, for a first node and a second node using GPRS Tunneling Protocol (GTP) tunneling support for UE management, if the first node and the second node support multi-UE messaging; when the first node and the second node support multi-UE messaging, then switching to multi-UE multi-messaging mode wherein a chain of messages are formed; and when at least one of the first node and second node do not support multi-UE messaging, then using conventional tunnel management messaging.