80 results about "Relay network" patented technology

The invention belongs to the technical field of network security, and particularly relates to a network security protection system and method based on an electric power emergency communication environment, and the system comprises a quantum-classical hybrid encryption system which is used for generating a dynamic key in real time; the biological characteristic driven dynamic trust ring is used for equipment identity authentication; the unmanned aerial vehicle relay network protocol is used for data transmission; the secret key after-reading burn-down protocol is used for information secret key after-reading burn-down; a key output by the quantum-classical hybrid encryption system is used for authentication encryption of a biological characteristic driven dynamic trust ring, an unmanned aerial vehicle relay network protocol transmits data encrypted by the quantum key, and a key burn-down protocol is used for reading encrypted data to trigger a key burn-down mechanism. According to the method, the key security is improved, the network attack difficulty is increased, the communication delay in a disaster is reduced, man-in-the-middle capture and attack can be immunized, and the problem of contradiction between the encryption strength and the real-time performance is solved.

The invention discloses a secure communication method for eavesdropping a D2D relay NOMA network. The communication process has two time slots; in the first time slot, the information source equipment sends an NOMA signal, and the multi-antenna relay equipment selects one antenna to send an interference signal to resist eavesdropping attack; in the second time slot, the relay equipment adopts the digital network coding technology to mix the interference signal of the first time slot and the decoded information source message, then adopts the NOMA technology to construct a novel NOMA signal, and re-selects one antenna to send the NOMA signal, and meanwhile, the information source sends another interference signal to weaken the eavesdropper; the NOMA user equipment and the eavesdropper calculate a required signal-to-noise ratio and a required signal-to-interference-and-noise ratio, and calculate a system outage probability and an eavesdropping probability; according to the invention, the two NOMA users can realize physical layer security communication in the D2D network, and the security of the physical layer is far better than that of a security communication scheme based on non-cooperative interference and a traditional security communication scheme based on cooperative interference.

The invention relates to the technical field of agricultural intellectualization, and discloses a fruit tree growth monitoring system based on multi-sensor fusion, which comprises a multi-mode sensor array, an integrated soil humidity sensor, a three-dimensional ultrasonic ranging sensor, a hyperspectral imaging sensor and a microenvironment meteorological station, and realizes multi-parameter synchronous acquisition; a nonlinear data calibration model adopts a layered architecture, and cross interference between sensors is eliminated; a dynamic weight distribution algorithm is built in the edge computing node, multi-source heterogeneous data are fused in real time, a fruit tree growth situation map is generated, and a low-power-consumption processor is adopted to support lightweight AI model deployment; the self-adaptive power supply module adopts a photovoltaic-temperature difference composite power generation structure to realize cable-free deployment; the wireless ad hoc network communication unit constructs an inter-tree relay network based on a LoRa protocol, supports low-power-consumption remote data return, and integrates a relay node health degree evaluation mechanism. The real-time performance of fruit tree growth monitoring, the data reliability and the situation analysis accuracy are improved.

A system can execute a containerized application that comprises a microservice in a decentralized service mesh architecture, and a sidecar. The system can intercept, by the containerized application, a call from the microservice that is directed to a remote endpoint, and direct the call to the sidecar. The system can communicate, by the sidecar to an identity manager, service account credentials associated with the microservice, resulting in receiving an identity token associated with the microservice. The system can determine, by the sidecar, connectivity information of the remote endpoint based on a virtual address of the remote endpoint identified in the call. The system can communicate, by the sidecar to a token exchanger, the identity token and the connectivity information, resulting in receiving an access token and a network route to the remote endpoint. The system can relay, by the sidecar, network traffic between the microservice and the remote endpoint.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may be configured to receive a control message indicating a prioritization configuration for prioritizing wireless communications between one or more non-terrestrial relay nodes and one or more non-terrestrial network (NTN) nodes. The UE may be configured to communicate one or more messages based on the prioritization configuration and a quantity of non-terrestrial relay nodes corresponding to a location associated with the UE, a timing associated with the UE, or both.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a repeater network node may obtain a measurement gap configuration that indicates a measurement gap to be used by the repeater network node for performing a measurement. The repeater network node may receive a downlink signal from a transmitter network node. The repeater network node may transmit the downlink signal, to a user equipment (UE), based at least in part on the downlink signal being received during the measurement gap. Numerous other aspects are described.

The invention discloses a quantum key distribution system and method. According to the system, a phase coherence monitoring mechanism is innovatively introduced, and early attack detection is realized through a dynamic consensus sampling protocol; a zero-trust relay network is constructed by adopting a wavefront fragmentation principle, and trust dependence on relay nodes is eliminated; self-adaptive safety monitoring is realized based on a finite state automaton, and a system safety strategy is dynamically adjusted. According to the method, the problems of resource consumption type attack, relay trust dependence, static protocol limitation and the like faced by an existing QKD system are solved through a strict mathematical framework, and long-distance quantum key distribution with efficient resources, endogenous security and elasticity and physical layer security guarantee is realized. Experiments show that compared with a traditional scheme, the detection delay of the system is reduced by about 38%, the resource waste is reduced by about 40%, and the availability of the system reaches 99.995% or above.

The invention relates to an intelligent calculation center optical network optical path survivability-oriented air-ground cooperative unmanned aerial vehicle distributed optimization deployment method and system, and belongs to the technical field of optical communication network protection. The invention aims to solve the technical problems of long switching time delay, limited coverage and poor stability of a traditional single ground or air protection mechanism. According to the technical scheme, an air-ground cooperative protection architecture is constructed, and firstly, an integer linear programming model with the aim of minimizing the total cost of a system is established to carry out precise deployment optimization of unmanned aerial vehicle nodes; in order to improve the solving efficiency, a spectral clustering and K-means clustering-based heuristic algorithm is designed to realize rapid intelligent division of the unmanned aerial vehicle service domain; the deployed unmanned aerial vehicle cluster adopts a master-slave architecture and has a failover mechanism, and a temporary relay network can be quickly established when a ground optical path fails. According to the invention, the survivability and fault recovery efficiency of the optical network are effectively improved, and good balance between deployment cost and protection performance is realized.

A method for wireless communication performed by a first relay node, includes receiving, from a donor network node, a relay network message indicating configuration information associated with a sidelink relay network. The method also includes transmitting, to one or both of the donor network node or one or more other relay nodes in the set of relay nodes, a queue report message indicating one or more channel characteristics and queue information. The method further includes receiving, from the donor network node, a resource allocation message indicating a group of resources, based at least in part on the queue report message, for communicating with the set of destination nodes. The method still further includes transmitting, to one or more destination nodes in the set of destination nodes via one or more respective sidelink channels, data via one or more resources of the group of resources.

The invention discloses a geographic information system and a data processing method, and the system comprises a geographic information fusion layer which carries out the plane geographic information collection, and carries out the three-dimensional space correlation based on an octree index; the electromagnetic environment modeling layer is used for simulating a signal propagation path by relying on an SBR / SPM ray tracing algorithm accelerated by CUDA, dynamically loading building material electromagnetic parameters by integrating a COST231 material library, correcting signal attenuation by accessing meteorological AP I and traffic flow data in real time, generating a dynamic signal intensity thermodynamic diagram and a probability confidence interval contour surface based on Monte Carlo simulation, and modeling the building material electromagnetic parameters according to the dynamic signal intensity thermodynamic diagram and the probability confidence interval contour surface. Carrying out coverage characterization; the relay network layer is used for constructing a virtual relay resource pool based on Kubernetes, training multi-agent relay control, predicting future traffic through an LSTM (Long Short Term Memory) model to trigger virtual relay activation, predictive load balancing and delay optimization; and the optimization engine layer performs concave polygon decomposition and 3D Boolean operation by using a CGAL library, constructs a building-relay hypergraph through a graph neural network, and outputs an optimal relay point set with stable time and space through the graph neural network.

A system comprises a wireless network comprising (1) first nodes that serve as a synthetic wide area base station for communicating data with a mobile handset and (2) second nodes that serve as a repeater network for propagating the data going to or from the synthetic wide area base station. The mobile handset includes multiple antennas that point in different directions. Different ones of the first nodes communicate the data to or from the mobile handset via wireless signals in accordance with the antennas' directionality. The wireless signals share the same frequency, encode the data, and are (1) respectively received by the different first nodes from different ones of the antennas or (2) respectively transmitted by the different first nodes for reception by different ones of the antennas. The nodes propagate the data via multiple paths through the wireless network as millimeter wave wireless signals that provide time-shifted representations of the data.

The present disclosure presents a method and system for determining a service network name (SNN) value for Proximity Service (ProSe) authentication. In a first embodiment, a remote user equipment (UE) and a home network determination of the remote UE use a fixed value SNN for ProSe authentication, such as' 5G: Prose '. Thus, a ProSe authentication vector may be generated regardless of which relay UE is discovered by a remote UE. In another embodiment, a remote UE may derive an SNN from cell information from a relay UE of a discovery procedure. In yet another embodiment, the relay UE sends the SNN of the relay network to the remote UE as part of the ProSe authentication procedure. This allows a security key to be generated for the PC5 communication based on the value of the SNN common at the network side and the UE side.

The application discloses a kind of unmanned vehicle logistics directional relay network system and its coordination method, belong to intelligent logistics and unmanned vehicle application technical field, the system includes: multiple cellular airspace units, cellular airspace unit is constituted continuous grid in service area;Deployed in the center of each cellular airspace unit one micro hub, as the ground logistics node of corresponding unit;Wherein, each micro hub includes one terminal nest and at least two relay nests;Terminal nest is used to provide the storage and withdrawal interface of user goods;Each relay nest is arranged around terminal nest, and each relay nest is pre-allocated and fixedly responsible for the bidirectional goods transfer task between the unit where the micro hub is located and a particular adjacent unit;Terminal nest and each relay nest are connected by internal logistics transmission device 103.The application fundamentally simplifies scheduling and management complexity by deep coordination of cellular airspace grid, heterogeneous node division of labor, directional routing rules and high automation.

The application discloses a kind of based on optical communication's multiple RGV things association method and system, the present application relates to the field of multiple equipment collaborative control and optical communication technology in industrial automation logistics system, including the following steps: S1: by the multiaxis adjustable light transceiver module of each RGV carrying real-time acquisition position, motion state and environmental barrier information, generate dynamic light relay priority weight.The multiple RGV things association method and system based on optical communication, through the deep integration of dynamic light relay network and adaptive wavelength allocation technology, significantly improve the communication stability and collaborative efficiency of multiple RGV in complex industrial scene;Based on the node selection mechanism of dynamic light relay priority weight, combined with the mixed integer programming model of elastic channel, realizes the uninterrupted transmission and efficient channel multiplexing of optical communication link in mobile shielding scene.

The application provides a centralized quantum key relay network and key distribution method, relates to the technical field of quantum communication, and comprises four steps of relay request initiation and demand analysis, path constraint and decision, cooperative key generation and verification, and monitoring and processing in the transmission process.The application greatly improves the security of the system when facing quantum computing threats through quantum digital signature, quantum secure MAC check code and post-quantum cryptography signature mechanism, simultaneously adopts dynamic path selection combined with time limit level, a multi-factor dynamic scoring model and an elastic target time window, can dynamically adjust the optimal path and the target time according to the timeliness requirement of the request, the path condition and the network state, is more flexible in path selection, meets different timeliness requirements, and further adopts a three-level verification mode to ensure the integrity and legality of the key, and when a network fault occurs, can automatically switch to a standby path and isolate a problem node.

The invention belongs to the technical field of communication, and particularly relates to an interphone remote communication method and system, and the method comprises the steps: carrying out the framing processing of a collected original voice signal at a source end interphone, and generating a voice frame sequence with a fixed time length; performing forward error correction coding on each voice frame and adding a timestamp mark to form a coded voice packet with a time sequence identifier; injecting the coded voice packet into a multi-hop network formed by a plurality of relay nodes, and executing dynamic path selection and voice packet priority scheduling based on link state prediction at each relay node; according to the system, forward error correction coding voice frames with timestamps are introduced at a source end, dynamic path selection based on link state prediction and voice frame priority preemptive scheduling are implemented in a relay network, and a multi-path redundancy receiving and missing frame interpolation reconstruction mechanism based on linear predictive coding are adopted at a destination end. And transmission time delay and jitter accumulated in the multi-hop forwarding process are effectively eliminated.

The application discloses an indoor inspection signal enhancement system based on a multi-unmanned aerial vehicle dynamic relay network, comprising: an inspection path planning module, which is used for determining a planned inspection path of an unmanned aerial vehicle and calculating an equivalent communication path length; a relay demand prediction module, which is used for determining the number of relay unmanned aerial vehicles required by an inspection task; a multi-hop relay link construction module, which is used for generating relay deployment control instruction parameters according to the number of relay unmanned aerial vehicles and building structure data; a relay position adjustment module, which is used for periodically collecting link quality indicators and adjusting the hovering position of the relay unmanned aerial vehicle; a data forwarding path selection module, which is used for selecting a neighbor node for next-hop forwarding of the relay unmanned aerial vehicle; and a relay stable regulation and control module, which is used for route reconstruction, standby relay intervention and relay deployment correction. The application effectively improves the reliability, network stability and system robustness of indoor inspection communication, reduces the demand for manual intervention, and enhances the engineering practicability of the multi-unmanned aerial vehicle indoor inspection system.

To provide a communication control method, a radio terminal, and a base station capable of achieving efficient coverage expansion.SOLUTION: A communication control method according to an embodiment includes receiving, by a network control type repeater, control information from a network node, amplifying and relaying, by the network control type repeater, a radio signal between the network node and a user apparatus based on the control information, broadcasting, by the network node, access control information for controlling access from the user apparatus, and ignoring, by the network control type repeater, the access control information.SELECTED DRAWING: Figure 18

The application discloses a federated continual learning cross-layer optimization method for a UAV relay network, and aims at the problems of easy occurrence of catastrophic forgetting of a model and high system time delay in a streaming task training scene.The application constructs a system architecture comprising a base station, a UAV and a plurality of ground clients; a task stability index is obtained by calculating the gradient similarity between a current task and a historical task of a client, and a system efficiency index is obtained by combining the client computing time delay and the communication time delay, so as to jointly select a target client participating in aggregation; in order to anchor historical knowledge, local compensation updating is performed at the client side based on the historical task gradient, and post-aggregation compensation correction is performed at the base station side based on the historical global gradient; and a cross-layer optimization model about the client computing frequency, bandwidth allocation, UAV trajectory and relay strategy is further established to minimize the maximum completion time delay of the system. The application can improve the model learning precision, reduce catastrophic forgetting and reduce the training time delay.

The application discloses a kind of multi-to-one relay selection methods for distributed network, it is related to distributed network communication technical field, research global transmission rate fairness optimization problem in limited wireless network of relay node, by considering the performance of whole network source node in resource allocation process, the overall performance between relays is considered simultaneously, so that relay network reaches the optimization of average performance, realizes the stable result of whole network.The method is characterized by: source node and relay node have their own decision-making ability, source node selects efficient transmission relay link to meet its transmission rate requirement, relay node knows the transmission rate information of source node connected with it, and decides whether to accept the request of source node according to its selection criteria.By optimizing the relay selection strategy of source node to maximize the transmission rate of all source nodes, the optimal relay allocation result of whole network is realized.

A method for wireless communication at a first relay user equipment (UE) includes receiving a first message initiating a quality of service (QoS) flow for a remote UE associated with a multi-hop relay network, the multi-hop relay network including a group of UEs, the group of UEs including at least a first relay UE, a second relay UE, and the remote UE. The method further includes transmitting a first PC5 message to a second relay UE in accordance with receiving the first message, the first PC5 message indicating the E2E PC5 QoS profile, the modified E2E PC5 QoS profile, or the modified E2E PC5 QoS profile and a first per-hop QoS profile between the first relay UE and the second relay UE. The method also includes receiving a second PC5 message from a second relay UE, the second PC5 message indicating an acknowledgement of receiving the first PC5 message.

A block chain-based low earth orbit satellite network steganography method comprises the following steps: a sender embeds encrypted data into a data signature of a block chain transaction to construct a steganography transaction; all steganographic transactions and other common transactions in the satellite network form first mixed traffic; transmitting the first mixed flow through the satellite relay networks, and dynamically adding bait transaction during transmission between the satellite relay networks; broadcasting all transactions added with the bait transactions, and sending second mixed traffic containing the first mixed traffic and the bait transactions to satellite nodes of the whole network; and the receiver identifies the steganographic transaction through transaction filtering, decrypts the steganographic transaction and restores the original plaintext data. According to the method, the concealment and detection resistance of a communication link can be enhanced, the contradiction between satellite resource limitation and processing efficiency is solved, and efficient filtering and extraction of steganographic transactions are realized.

This invention belongs to the field of wireless communication network technology, and particularly relates to a low-power, fast multi-device networking method based on StarFlash technology. The steps are as follows: After the gateway sends a network frame, the device to be networked calculates the optimal joining level based on its own load, signal strength with the gateway, and remaining battery power through an innovative optimal joining level strategy; the gateway, combined with the asynchronous time slot allocation mechanism of StarFlash technology, allocates independent time windows for each level; the device to be networked completes network entry within its assigned level's time slot; the network-entering devices form parent-child relationships, and child nodes accurately calculate wake-up times to reduce idle listening power consumption; all devices adjust relay durations in real time to reduce redundant relays; automatic reconfiguration is performed when the network state changes abruptly to maintain optimal performance. This invention enables efficient, low-power multi-device networking.

The application provides a low-altitude unmanned aerial vehicle relay disaster site satellite communication blind area image acquisition and transmission method, comprising: obtaining disaster area information and performing adaptive multi-modal image acquisition; establishing a low-altitude unmanned aerial vehicle relay network; performing feature extraction and semantic analysis on the marked image dataset, generating non-uniform image patches and calculating transmission priority; monitoring the communication environment state, and dynamically adjusting the transmission strategy through a double-loop feedback mechanism. The application ensures semantic integrity, realizes transmission window awareness, stabilizes parameter adjustment through a double-loop feedback mechanism, and solves the problem of efficient transmission of edge images in the disaster site satellite communication blind area.

The application discloses a kind of construction methods of unmanned aerial vehicle swarm dynamic topology network, comprising: according to unmanned aerial vehicle communication load capacity, air node is divided into middle large unmanned aerial vehicle and small unmanned aerial vehicle;With middle large unmanned aerial vehicle as fixed cluster head, build first level relay network, with small unmanned aerial vehicle as cluster subnode, build lower layer swarm network;In lower layer swarm network, temporary cluster head is elected, and temporary cluster head is formed as the relay machine subcluster network;Through orthogonal frequency hopping pattern, bidirectional information interaction is carried out between first level relay network and subcluster network.This scheme can make unmanned aerial vehicle swarm establish dynamic topology structure, and efficiently utilize wireless spectrum resource, improve the network communication performance of unmanned aerial vehicle swarm.

The application relates to a mixed network coding and decoding technology, and discloses a low-complexity coding and decoding method, device and equipment for an SCMA-D2D network, which comprises the following steps: generating a connection factor matrix according to user information of SCMA cellular users and D2D users and spectrum resource blocks, and generating a connection factor graph according to the connection factor matrix; constructing a code word generator according to the connection factor graph, and calculating code words corresponding to the user information by using the code word generator; generating mixed network signal data according to the code words corresponding to the user information and the spectrum resource blocks; inputting the mixed network signal data after being transmitted through a Gaussian channel into a relay network to obtain relay signal data, and broadcasting the relay signal data to receiving ends corresponding to the SCMA cellular users and the D2D users; and after the relay signal data is received at the receiving ends, decoding the relay signal data by using a multi-user classification decoder to obtain decoding information. The application can improve the precision of multi-user decoding and reduce the complexity of coding and decoding.

The present invention relates to methods, systems, and computer readable media for mitigating unauthorized message relay attacks. According to one method, the method is performed at a network node configured to relay network message information or derivative information to avoid resource contention between user equipments (UEs). The method includes receiving a first temporary UE identifier (TUEI) associated with a first UE for requesting radio resources within a serving cell; allocating the radio resources to the first UE using the first TUEI; generating a second value based on the first TUEI using at least a conversion algorithm, wherein the second value has a higher entropy characteristic than the first TUEI, thereby reducing a likelihood that the second value includes an encoded message that can be decoded by a second UE when relayed by the network node; and broadcasting a message including the second value to a plurality of UEs including the second UE.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may be configured to receive a control message indicating a prioritization configuration for prioritizing wireless communications between one or more non-terrestrial relay nodes and one or more non-terrestrial network (NTN) nodes. The UE may be configured to communicate one or more messages based on the prioritization configuration and a quantity of non-terrestrial relay nodes corresponding to a location associated with the UE, a timing associated with the UE, or both.

The invention discloses a track and double-hop beam forming joint optimization method for an unmanned aerial vehicle relay network. The method comprises the following steps: S1, initializing an unmanned aerial vehicle system and setting parameter configuration; wherein the parameter configuration comprises an initial position, a flight parameter, a communication system parameter, a user position and a demand of the unmanned aerial vehicle; s2, constructing a comprehensive energy consumption model, and introducing constraint conditions to ensure that the flight path and communication performance of the unmanned aerial vehicle meet actual requirements; s3, based on the comprehensive energy consumption model, iteratively optimizing the trajectory of the unmanned aerial vehicle, the beam forming vector from the first hop base station to the unmanned aerial vehicle and the beam forming vector from the second hop unmanned aerial vehicle to the user by adopting a snake-egret optimization algorithm, and minimizing the total energy consumption of the system formed by the flight energy of the unmanned aerial vehicle and the double-hop communication energy; according to the method, the problem of non-convex optimization caused by coupling between the mobility of the unmanned aerial vehicle and the double-hop beam forming vector is solved by utilizing a snake-egret optimization algorithm.