Abstract: A data processing method includes determining, by a base station, a distribution characteristic of a local dataset of at least one user equipment (UE), and scheduling, by the base station, based on the distribution characteristic of the local dataset, a target UE from the at least one UE for participating in federated learning.

Abstract: The present application discloses a backoff method and apparatus in a transmission process, a device, a system, and a storage medium, which relate to the field of communication technology. The method includes: a transmitting device performing LBT in an unlicensed frequency band; the transmitting device transmitting an RTS to a receiving device when the LBT has been successfully performed, the RTS including a first backoff time period; the transmitting device transmitting, after having received a CTS transmitted by the receiving device, a C-CTS to the receiving device, the C-CTS including a second backoff time period.

Abstract: Aspects of the invention can provide a method for configuring a discontinuous reception (DRX) parameter, which method is applied to a base station. The method can include, according to first discontinuous reception (DRX) transmission feature data, configuring a discontinuous reception (DRX) parameter for a terminal, wherein the first discontinuous reception (DRX) transmission feature data is discontinuous reception (DRX) transmission feature data for discontinuous reception (DRX) transmission performed by the terminal at historical moments.

Abstract: A routing method includes: determining a path quality between a first node and each of second nodes in a service to be transmitted through a path quality evaluation model; where, the second node is one next-hop node of the first node; and the path quality evaluation model is constructed according to a signal-to-noise ratio SNR and an ambient temperature change; determining an optimal next-hop node from second nodes according to the path quality; updating a Q table of the first node according to the optimal next-hop node; taking the optimal next-hop node as a new first node; returning to the step of determining a path quality between a first node and each of second nodes until the new first node is a destination node of the service to be transmitted; and determining a transmission path of the service to be transmitted according to the Q table.

Abstract: The embodiments of the present application provide a polar code construction method and apparatus, which relate to the field of communications technology.

Abstract: Disclosed is a method for classifying mixed signals, comprising: receiving mixed signals; performing calculation on a matrix corresponding to the mixed signals by means of a preset Principal Component Analysis method to obtain to-be-classified mixed signals and to determine the number of types of signals contained in the to-be-classified mixed signals; determining a separation matrix based on the number of types of signals contained in the to-be-classified mixed signals; separating individual signals in the to-be-classified mixed signals by means of the separation matrix to obtain to-be-identified signals; calculating a preset number of high-order cumulants corresponding to each to-be-identified signal in the to-be-identified signals respectively; taking the calculated high-order cumulants as characteristics of the to-be-identified signal corresponding to the high-order cumulants respectively; inputting the characteristics of the to-be-identified signal into a preset classification model; and obtaining a modu

Abstract: Embodiments provide a method, apparatus and device of reconstructing non-Kronecker structured channels, applicable to communications. A weight matrix is determined for emulating link characteristics of a reconstructed channel, and includes a weight corresponding to each ray mapped to a probe antenna. In each cluster, rays mapped to each probe antenna have different weights with each other. For each cluster, a time-varying fading channel impulse response of each ray of the cluster mapped to a probe antenna is calculated using the weight matrix. The time-varying fading channel impulse response includes a transition equation for each probe antenna describing mapping of rays of the cluster to the probe antenna. A transition matrix from each probe antenna to receiving antennas of a device under test is determined. A product of the time-varying fading channel impulse response of the cluster multiplied by the transition matrix serves as a channel impulse response of the cluster.

Abstract: Embodiments of the present disclosure provide a software defined network publish-subscribe system and method. The software defined network publish-subscribe system comprises a controller, an administrator controller, a sequencing subsystem and a message multi-backup cache subsystem. The controller is configured to process publish-subscribe transactions in clusters, and comprises sequencing nodes used for generating ordered serial numbers for messages and cache nodes for caching the messages. The administrator controller is configured to simultaneously perform functions of the controller and manage software-defined network. The sequencing subsystem is configured to realize the cooperative sequencing between the administrator controller and the sequencing nodes. The message multi-backup cache subsystem is configured to realize the consistency of the messages through the administrator controller and the cache nodes.

Abstract: Embodiments of the present disclosure provide an Internet-of-Things resource access system and method. The system comprises a protocol management subsystem, a data conversion subsystem, and a load balancing subsystem.

Abstract: Provided are a radar communication integrated cooperative detection method and apparatus based on beam power distribution.

Abstract: The embodiments of the present invention provide a method, apparatus for cross-protocol opportunistic routing, an electronic device, and a storage medium, the method includes: when there is a first data packet in a low-power wireless network, simulating the first data packet to generate a second data packet including to-be-transmitted data in the first data packet; obtaining identification information of a destination node in the first data packet, and selecting a low-power node with the lowest delay to the destination node in the low-power wireless network, except the first low-power node, as a forwarding low-power node based on the identification information of the destination node; sending the generated second data packet to the forwarding low-power node, so that the forwarding low-power node forwards the to-be-transmitted data to the destination node.

Abstract: A ridge gap waveguide millimeter-wave crossover bridge structure device includes: an upper planar metal plate and a bottom planar metal plate arranged in parallel; a supporting structure fixedly arranged between the two planar metal plates; a ridge waveguide fixed on the upper surface of the bottom planar metal plate, with an air gap between the upper planar metal plate and the ridge waveguide; and a plurality of metal pins fixed on the upper surface of the bottom planar metal plate and evenly arranged around the ridge waveguide. The ridge waveguide includes two transmission lines arranged crosswise and four impedance transformation structures respectively connected to the ends of the two transmission lines. The distal end of each of the impedance transformation structures away from the connected transmission line is used to connect with external test equipment to be accommodated in four input ports in the bottom planar metal plate.

Abstract: Disclosed is a method of path optimization for an unmanned aerial vehicle (UAV). In the method, users and the positions of the users are obtained; the users are divided into K wireless multicast user groups; K initial hovering positions corresponding to the K wireless multicast user groups are determined; and a first shortest flying path connecting the K initial hovering positions is determined; and the initial hovering positions of the UAV are optimized to obtain K final hovering positions and a final flying path. The present disclosure also discloses a device of path optimization for a UAV and a computer readable storage medium.

Abstract: A routing method and apparatus for SDN-based LEO satellite network are disclosed. The LEO satellite network includes a control plane and a data plane. The control plane includes a central controller and a plurality of local controllers. The data plane includes a plurality of LEO satellite nodes and user terminals connecting to the LEO satellite nodes. The control plane may be located on the earth, and thus the centralized management and control of the data plane are placed on the earth. A local controllers monitors LEO satellite nodes in a subnet or subnets of the local controller. The distance between a local controller and a LEO satellite node is much smaller than the distance between a GEO satellite node and the LEO satellite node, and thus the time delay and the traffic loss of communication are reduced.

Abstract: Disclosed is a method of network resource allocation. The method includes: generating an adjacency matrix of nodes in a metropolitan area network (MAN) according to spatial adjacency relationships of the nodes; generating a network state feature matrix according to traffic information of each node; extracting traffic spatial features of the nodes from the adjacency matrix and the network state feature matrix through a traffic spatial feature extraction model; obtaining predicted traffic of the nodes from the traffic spatial features through a traffic prediction model; and performing a network resource allocation according to the predicted traffic of the nodes. Further, a device of network resource allocation and a non-transitory computer-readable storage medium are also disclosed.

Abstract: Disclosed is a network capability exposure method, which includes receiving a service request sent by a third-party device; determining a type of a network capability required according to the service request; determining a computing task matching the type of the network capability required; determining computing resources exposed by at least one physical device; obtaining a computing resource exposure result based on the computing task and the computing resources exposed by the at least one physical device; acquiring a network capability corresponding to the type of the network capability and the computing resource exposure result; and providing the network capability to the third-party device. Further, a network capability exposure device, a network capability exposure system and a non-transitory computer-readable storage medium are also disclosed.

Abstract: Disclosed is a cross-chain communication method. In this method, a first edge node of a first blockchain receives a first transaction request and validates the first transaction request; on condition that the first transaction request passes the validation, the first edge node will send the first transaction request to a notary node group; the notary node group determines at least one target notary node according to a preset criterion; the at least one target notary node validates the first edge node and a second edge node of a second blockchain corresponding to the first transaction request; and on condition that both the first edge node and the second edge node pass the validation, the first edge node will set up a cross-chain communication with the second edge node depending on the first transaction request to complete a cross-chain transaction. A cross-chain communication device and a storage medium are also disclosed.

Abstract: A privacy-enhanced federated decision-making method, apparatus, system and a storage medium are provided for training a global decision-making model for ensuring data privacy of data terminals. Each federated data terminal reports information about a local decision-making model to a federated coordinator, and a federated coordinator trains a global decision-making model by using the information about the local decision-making model reported by the federated data terminals. The trained global decision-making model can be used for coordinating decision making of the federated data terminals, such as coordinating a decision-making sequence of the federated data terminals or coordinating whether the federated data terminals need to participate in a decision-making task. The method resolves the problem of difficult coordination across the data terminals, and improves the decision-making accuracy of the data terminals.

Abstract: A deep reinforcement learning-based information processing method includes: determining whether a target edge computing server enters an alert state according to a quantity of service requests received by the target edge computing server within a preset time period; when the target edge computing server enters the alert state, obtaining preset system status information from a preset memory library; computing an optimal action value corresponding to the target edge computing server based on a preset deep reinforcement learning model according to the preset system status information and preset strategy information; and generating an action corresponding to the target edge computing server according to the optimal action value, and performing the action on the target edge computing server. A deep reinforcement learning-based information processing apparatus for an edge computing server includes a first determining module, an acquisition module, a first computing module, a first generation module.

Abstract: Embodiments disclosed herein provide a method and system for management and resolution of a blockchain-based top-level domain. The method comprises: a master node receiving request information for operations on top-level domain resource record from a requesting node, and encapsulating master node information and authenticated request information into a pre-preparation message; each normal node verifying the pre-preparation message, and after successful verification, generating a preparation message comprising request information, a request information verification identifier, and current node information; each node verifying the preparation message, when the number of authenticated preparation message sending nodes reaches a consensus threshold, adding an operation result corresponding to the request information to a new block in a local blockchain.