4508 results about "Trunking" patented technology

The present invention relates to an intelligent, context-aware battery management system embedded within a mobile device that dynamically allocates power resources based on real-time user behavior, system state, and environmental context. It incorporates a smart recognition engine that analyzes sensor-derived telemetry data to compute behavioral deviation scores, enabling the system to anticipate abnormal or emergency-prone conditions. A continuous activity classification module contextualizes user motion and geolocation to inform power policy decisions. Upon detecting significant behavioral anomalies or critically low battery conditions, an emergency mode subsystem is triggered, restricting device operations to essential functionalities while preserving energy for critical communication and navigation tasks. The system also establishes a secure, lightweight emergency communication tunnel for relaying essential metadata, including GPS and behavioral indicators, to predefined response servers.

The invention overcomes the constraints imposed by conventional wireless communication standards by introducing a physical-layer optimized architecture that decouples transmission control from any single protocol. Rather than being confined by the predefined behaviors of LTE, 5G NR, Wi-Fi, or NB-IoT, the system implements a unified control system that dynamically manages radio parameters—such as modulation, coding, and power—based on real-time link quality and network context. This cross-standard, multimode capability effectively supersedes traditional standard-driven implementations, enabling adaptive, low-latency, and spectrum-efficient communication in complex heterogeneous environments.The system dynamically controls radio access network (RAN) and physical layer parameters, including carrier aggregation, dynamic spectrum allocation, modulation and coding scheme (MCS) adaptation, beamforming configuration, channel coding, transmit power control, and frequency selection. The system architecture includes multi-mode base stations, relay nodes, and edge access points that support inter-RAT handover, fast radio link recovery, and seamless mobility across diverse wireless technologies.

The invention discloses an unmanned aerial vehicle anti-interference communication link control method based on heterogeneous network convergence, and relates to the technical field of unmanned aerial vehicle anti-interference communication, and the method comprises the steps: S1, interference sensing and network state modeling, S2, intelligent link decision making, S3, spectrum avoidance and resource scheduling, S4, distributed feedback and cooperative anti-interference, and S5, heterogeneous network cooperative relay. S6, resource allocation and energy efficiency optimization; S7, performance evaluation and parameter optimization; and S8, multi-link redundancy backup. According to the invention, through S1, S2 and S7, a sensing, decision-making and optimization closed-loop system is constructed, LSTM interference prediction and three-dimensional network modeling in S1 provide accurate input, a dual deep Q network in S2 realizes low-delay link decision-making, and KPI evaluation and genetic algorithm dynamic parameter adjustment in S7, the signal-to-interference ratio is improved, the anti-interference adaptability is improved compared with a traditional passive response mode, and the method has the advantages that the method is simple and convenient to operate, and the cost is low. The creative breakthrough that interference does not reach strategy precedence is realized; through S3 and S4, an active anti-interference mechanism is formed, and compared with a single avoidance or suppression method, the interference elimination efficiency is improved.

The invention relates to the technical field of wind power generation, discloses an intelligent safety early warning method for wind power hoisting operation, and aims to solve the technical problems of insufficient perception and lack of data fusion and intelligent analysis decision in existing operation safety management. The method is characterized by comprising the following steps: constructing an intelligent terminal integrated with a UWB / IMU / safety belt / environment sensor; deploying a positioning base station network and a signal relay system; a multi-source data fusion intelligent analysis platform is established, and high-precision positioning, behavior recognition and deep learning risk prediction are achieved; and a closed-loop intelligent decision-making and execution system is constructed, and graded early warning, electronic fence, environment linkage and one-key help calling are realized. According to the method, a traditional experience driving mode is innovated into a data driving mode, the safety level and the operation efficiency of wind power hoisting operation are remarkably improved, and the defects of insufficient perception, information isolation and the like are overcome.

The invention discloses a safety monitoring system of a high transverse support system for cable-stayed bridge man-shaped tower column construction, and relates to the technical field of bridge construction monitoring, the system comprises a creeping formwork integrated sensing module used for generating a point cloud model by using a mechanical arm integrated on a hydraulic creeping formwork platform and a laser radar scanning tower column curved surface, combining with a preset building information model coordinate, adaptively adjusting the mounting posture of the sensor, and outputting the mounting coordinate position of the sensor; the optical fiber sensing network module is used for collecting original strain and temperature data by using a distributed optical fiber sensor deployed along a main stress path of the support truss; an inertial navigation fusion positioning module; a digital twinning early warning module; and an edge calculation relay module. According to the invention, a full-process monitoring chain from data acquisition to risk early warning is constructed through cooperation of multiple modules, full-period and multi-dimensional dynamic control of construction of the human-shaped tower column high transverse support system is realized, and timely perception and overall control of potential risks are ensured.

The invention discloses a multi-modal space-time fusion and distributed cluster fire extinguishing robot cooperative control system, aims to solve the problems of low efficiency and poor precision of multi-machine cooperative fire extinguishing in wide-area fire investigation and flammable and explosive scenes, and provides a whole set of unmanned fire extinguishing technical solution for the multi-mode space-time fusion and distributed cluster fire extinguishing robot cooperative control system. The system comprises four core hardware architectures, namely a cloud dispatching center (A), an unmanned aerial vehicle cluster (B), an unmanned resource guarantee vehicle (C) and a crawler-type fire extinguishing robot cluster (D), and has the following core functions: 1, the cloud dispatching center (A) updates a fire scene model through distributed dispatching by fusing multi-modal sensor data, dynamically allocates tasks and plans a safe approach path; 2, the unmanned aerial vehicle cluster (B) executes the instruction, completes fire global positioning and cluster cooperative sensing, generates a high-precision fire topographic map and feeds back a signal; thirdly, the unmanned resource support vehicle (C) autonomously says for help, and has the functions of automatic mechanical arm water feeding and power supply, environment detection, on-site cleaning after fire extinguishing and communication relay; and fourthly, the crawler-type fire extinguishing robot cluster (D) autonomously navigates and positions the root of a fire source, detects and predicts the drop point of a water column, carries out fire extinguishing feedback evaluation, and interacts with the dispatching center cooperatively to dynamically adjust the strategy, so that closed-loop control is formed, and the fire extinguishing efficiency and accuracy are remarkably improved.

The invention provides a dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, and belongs to the technical field of wireless communication and unmanned aerial vehicle cooperative control. The system is composed of two unmanned aerial vehicles, serves as a mobile base station to provide relay communication for users, and cooperatively perceives an aerial target. The method comprises the following steps: establishing an integrated model integrating tracks, NOMA signals and layered continuous interference cancellation; calculating communication and sensing key indexes; constructing an optimization problem which takes maximization of the minimum average interaction rate between the unmanned aerial vehicles as a target and takes power, QoS, perception and security constraints into consideration; a distributed architecture is adopted to decompose problems, and a Dual-TD3 algorithm is proposed to collaboratively optimize beam forming and a flight path. According to the dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, dynamic intelligent distribution of communication and sensing resources is realized, and the interaction rate, the robustness and the resource utilization rate of the system in a dynamic scene are remarkably improved.

An electronic device may be mounted to a main body of a removable case. The case includes a cover that rotates between open and closed positions. The device may convey wireless data and / or a control signal with the removable case over radio-frequency connectors, near-field communications (NFC) coils, connector electrodes, and / or wired data connectors. The removable case may relay the wireless data between the electronic device and a communications satellite in space. The case may include a phased antenna array in the cover. In the open position, the cover may point the phased antenna array towards the sky. The removable case may include beamforming circuitry in the cover and coupled to the phased antenna array. The control signal may control the beamforming circuitry to produce, using the phased antenna array, a signal beam oriented towards the communications satellite.

The invention discloses a distributed intelligent control method for unmanned aerial vehicle cluster cooperative path planning, and relates to the technical field of unmanned aerial vehicle cluster cooperative control, and the method comprises the steps: collecting a dynamic feature set of an unmanned aerial vehicle in real time, and carrying out the time synchronization, noise filtering and formatting integration, and forming a local state data set; performing neighborhood collaborative analysis and temporary link planning on the local state data set to obtain relay chain layout data; performing environmental risk assessment and path feasibility analysis on the relay chain layout data to generate a candidate path set; adjusting the candidate path set through local obstacle avoidance and dynamic constraint to generate an executable path sequence, and generating a collaborative execution path through neighborhood communication and collaborative adjustment; performing task execution result integration and state updating on the collaborative execution path to generate group state data; and performing path feedback and loop optimization on the group state data to obtain a group collaboration result. And the task completion rate, the cooperation efficiency and the environment adaptability are improved.

The invention relates to the technical field of audio and video emergency transmission, and discloses an audio and video low-delay return method and system in an extreme environment. The method comprises the following steps: acquiring original multi-modal data of audio and video acquisition equipment in a target area, and analyzing a data state of the original multi-modal data; and meanwhile, available network transmission links are monitored, and the quality is evaluated. Self-adaptive coding parameters are generated in combination with the link quality and the data state, dynamic coding is executed on original data, and a coding stream suitable for redundant transmission is formed. And carrying out cooperative distribution transmission based on the network link set and the coded stream to generate return data. According to the generation process, a device and energy management instruction is formed and issued to the acquisition and relay device. According to the method, the network state and the content characteristics are optimized in a dynamic coding link in a collaborative manner, and the audio and video quality, the real-time performance and the system energy efficiency which are transmitted back in an extreme environment are improved through a feedback closed loop for transmitting a result to equipment management.

A cellular communication system supports a Network Relay Function (140) for managing the indirect connections. A mobile device (110) may send a request message to a relay device (120), the request message including a relay service code (associated with a set of privacy sensitive PDU session parameters). The relay device receives the request message and sends a transfer request message to the cellular communication system indicating a request to transfer data via an indirect connection and including the requested relay service code. The Network Relay Function receives the transfer request message, determines a different relay service code to be used instead of the requested relay service code; and sends a transfer response message including the different relay service code in an encrypted manner that allows it to be decrypted by the mobile device, but not the relay device; and forwarding by the relay device the encrypted different relay service code to the mobile device in a response to the request message.

The invention discloses a complex environment information acquisition method based on a sensor network, and relates to the technical field of sensor networks, and the method comprises the steps: building a complex environment portrait and a service level, and generating a scene configuration comprising an information freshness budget, a risk heat map and an alarm threshold; based on scene configuration, configuring mesh wireless networking, time synchronization parameters and candidate relays, and constructing observation configuration and quality rules; and generating a data stream and a real-time queue state according to a self-adaptive sampling strategy and an event mark, calculating an emergency degree and distributing a forwarding probability according to an information freshness budget by combining a candidate relay and a risk heat map, outputting uploaded data and a quality record, completing convergence and grading alarm according to an alarm threshold, and generating a disposal feedback and audit index. The state set, the uncertainty set, the link idle degree and the energy sufficiency are linked under the constraint of the information freshness budget, so that hot spot encryption, low-risk sparseness, reduction of energy consumption and conflict rate and standard observation time efficiency are realized.

The invention discloses a multi-agent intelligent way-finding and real-time decision-making method based on MADDPG, and the method achieves the autonomous collaborative decision-making of multi-target optimization through the technical links of environment perception, dynamic obstacle intention prediction, single-agent pre-training, strategy distillation and multi-agent collaborative training. The method comprises the following core steps: predicting a dynamic obstacle intention based on a long short-term memory network of an attention mechanism; constructing a threat field model to quantify the environmental risk; forming basic obstacle avoidance and path optimization experience through single agent pre-training; empirical migration is realized by utilizing strategy distillation so as to shorten a multi-agent training period; and multi-agent cooperative training is completed based on a centralized training-distributed execution architecture and an MADDPG algorithm. According to the method, the path length, the energy consumption, the safety and the task completion rate can be considered, the survivability, the cooperation efficiency and the task adaptability of the unmanned aerial vehicle formation in the complex dynamic environment are remarkably improved, and the method can be widely applied to different-scale formation and multiple task scenes such as reconnaissance, communication relay and situation awareness.

The invention provides a communication method and system based on HPLC and HRF dual-mode fusion, belongs to the field of power line carrier communication, and solves the problem that the communication performance is still insufficient in a three-phase four-wire system low-voltage power grid environment. The method comprises the following steps: in a high-speed power line carrier communication channel of a three-phase four-wire system power grid, dynamically learning an electric phase of each terminal through a carrier coupling success rate, constructing an electric phase identification model, and recording communication characteristics of a phase line to which each terminal belongs; identifying link isolation states among different phase lines by combining an electric phase communication map generated on the concentrator side based on the phase information of each terminal; and under the condition of determining that a cross-phase communication bottleneck exists based on the link isolation state, executing a preset collaborative packet sending optimization strategy, and in the optimization process, establishing an out-phase relay path through a high-speed wireless communication channel.

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 relates to the technical field of unmanned vehicle scheduling and charging management, and discloses an unmanned vehicle remote non-inductive scheduling and multi-vehicle cluster charging cooperative management system, which comprises a cluster state sensing module, a multi-vehicle cluster charging cooperative management module, an unmanned vehicle remote non-inductive scheduling module and a multi-vehicle cluster charging cooperative management module, the scheduling feature analysis module performs modeling analysis on the two types of flows to generate feature sets; the collaborative decision-making module is used for matching scheduling strategy levels based on strategy matrix fusion features; the charging strategy generation module calls a charging strategy according to the grade; and the central processing unit verifies and generates a final instruction set. The system is further provided with a communication relay interface, a charging pile dispatching module and the like, and data transmission, charging optimization, instruction execution and data archiving are achieved. The system improves unmanned vehicle cluster scheduling and charging cooperation efficiency, is suitable for large-scale management, and has the advantages of being high in real-time performance, accurate in decision making and the like.

Embodiments of the subject application relate to methods and apparatuses for a relay path establishment and a relay change in a multi-path case. According to an embodiment of the subject application, a user equipment (UE) includes a processor and a transceiver coupled to the processor; and the processor is configured to: receive a radio resource control (RRC) reconfiguration message for path addition via the transceiver from a network, wherein the RRC reconfiguration message for path addition includes an identifier (ID) of a relay UE; start a timer for a path addition procedure upon reception of the RRC reconfiguration message; and receive a message associated with a link between the relay UE and the network.

The invention discloses an interactive connection establishment method and system based on an ICE protocol and electronic equipment. The method comprises the steps that a client configures STUN and SFU server addresses to support ICE connection; the client initiates a request to the STUN server and obtains a local candidate, and initiates a request to the SFU server and obtains a relay candidate, and the relay candidate is used as an opposite terminal candidate; the local candidates are packaged into an ICE candidate list, the client and the opposite end exchange the ICE candidate list through a signaling server, and the relay candidates are added into PeerConsection; initiating bidirectional connectivity check based on the candidate list; the low-delay P2P direct connection is preferentially established through a preset overtime verification mechanism, and the low-delay P2P direct connection is degraded to an SFU relay channel according to levels when the low-delay P2P direct connection fails. Seamless connection from intranet penetration to cloud relay is realized, and high-reliability and low-delay end-to-end connection support is provided for network communication.

The embodiment of the invention discloses a logistics distribution method and device based on an unmanned aerial vehicle cluster, equipment and a medium. The method comprises the steps of obtaining to-be-processed order information and state information of the unmanned aerial vehicle cluster; determining a to-be-delivered task based on the order information, and determining a target unmanned aerial vehicle from an unmanned aerial vehicle cluster based on the delivery information and the state information; determining a flight strategy of the target unmanned aerial vehicle based on a preset relay link, and controlling the unmanned aerial vehicle to execute a distribution task according to the flight strategy; and monitoring real-time state information of the target unmanned aerial vehicle, and determining a real-time control strategy of the target unmanned aerial vehicle based on the real-time state information so as to adjust a flight strategy of the target unmanned aerial vehicle based on the real-time control strategy. According to the embodiment of the invention, an efficient, flexible and safe unmanned aerial vehicle distribution system is constructed, and a solid technical support is provided for large-scale commercial application.

The invention discloses a topographic surveying and mapping method and system based on unmanned aerial vehicle cluster collaboration, and belongs to the technical field of unmanned aerial vehicle cluster collaboration topographic surveying and mapping, and the method comprises the following steps: a ground control center plans a flight route for each unmanned aerial vehicle in a cluster according to the topography and precision requirements of a surveying and mapping area, a theoretical processing sequence of data of each unmanned aerial vehicle is calculated in advance; and the unmanned aerial vehicle cluster autonomously takes off to a predetermined airspace according to the instruction, and dynamically establishes a multi-hop relay communication network based on a mobile ad hoc network technology in a flight surveying and mapping process so as to evaluate and use the fastest signal transmission path. Through the combination of the steps, the data processing and transmission efficiency is improved, reliable communication and collision prevention are guaranteed, weather interference can be dealt with, and efficient and accurate topographic surveying and mapping are achieved.

Certain aspects of the present disclosure provide techniques for RRC connection reestablishment by a remote UE. In some cases, a remote UE may be configured to detect, on at least one of a first link between a first relay UE and a first network entity or a second link between the remote UE and the first relay UE, a radio link failure (RLF) resulting in a loss of radio resource control (RRC) connection and attempt to reestablish RRC connection by performing at least one of relay selection or cell selection.

The invention belongs to the technical field of unmanned aerial vehicles, and particularly relates to an unmanned aerial vehicle low-altitude collaborative inspection method and device based on data acquisition, electronic equipment and a storage medium, and multi-aerial vehicle collaborative flight and data aggregation are realized by calling a plurality of unmanned aerial vehicles to form a logic formation set and constructing a communication topological structure by using relay nodes. According to the method, the formation is quickly established after task area analysis, parallel path coverage is realized through unified scheduling, and the inspection area in unit time is remarkably increased. In a multi-unmanned-aerial-vehicle cooperative mode, the unmanned aerial vehicles share environment sensing information, the flight path is dynamically adjusted, repeated flight and path conflict are avoided, and resource utilization is further optimized. Therefore, the method can effectively solve the problem of low inspection efficiency in the prior art, and realizes efficient, rapid and complete coverage of a large area.

The invention provides a water area monitoring system for cooperative operation of an unmanned aerial vehicle and an unmanned ship based on a Mesh ad hoc network. The water area monitoring system comprises the unmanned aerial vehicle, the unmanned ship, a Mesh ad hoc network module, a cooperative control system and a shore end control system, according to the unmanned plane, wide-area patrol and image acquisition, airspace and wide-area water area information is acquired through a sensor, fixed-point acquisition and water area information acquisition are realized through an unmanned ship, and data interaction is realized by relying on nodes of a Mesh ad hoc network. Through the multi-hop relay and dynamic routing technology of the Mesh ad hoc network, autonomous and reliable communication in a scene without a fixed base station is realized, and the communication coverage range and survivability are improved; on the basis of distributed task allocation and real-time data interaction, the equipment cooperation efficiency is remarkably improved, the response delay is shortened, and efficient completion of tasks in a complex environment is guaranteed.

Method and system for improving the security of storing digital data in a memory or its delivery as a message over the Internet from a sender to a receiver using one or more hops is disclosed. The message is split at the sender into multiple overlapping or non-overlapping slices according to a slicing scheme, and the slices are encapsulated in packets each destined to a different relay server as an intermediate node according to a delivery scheme. The relay servers relay the received slices to another other relay server or to the receiver. Upon receiving all the packets containing all the slices, the receiver combines the slices reversing the slicing scheme, whereby reconstructing the message sent.

The invention discloses an unmanned aerial vehicle cluster relay system optimization method, and aims to significantly reduce the overall outage probability of the system by performing adaptive optimization on cooperative position deployment and flight trajectories of multiple unmanned aerial vehicles under multiple actual constraint conditions of flight speed, safety distance, flight boundary and the like. Therefore, the reliability and the service quality of the multi-unmanned aerial vehicle relay communication network are improved. According to the method, a Markov decision process (MDP) model is constructed, a multi-unmanned aerial vehicle trajectory optimization problem is converted into a multi-agent reinforcement learning problem, and efficient optimization of unmanned aerial vehicle trajectories is realized by using a centralized training-distributed execution framework, so that the outage probability of a communication system is minimized.

The invention provides a distributed quantum security encryption method, system and device. The method comprises the following steps: monitoring the quality of a quantum key distribution link in real time, and dynamically selecting a quantum key, a post-quantum session key or a fusion key of the quantum key and the post-quantum session key as a working key; and when the node cannot be directly reached, the trusted relay node generates an end-to-end key seed by using a quantum key and a post-quantum cryptography shared key which are respectively established with the two ends, the end-to-end key seed is encrypted and distributed by a public key and then a session key is independently derived by the two communication parties, and the relay node cannot decrypt. The system adopts a distributed Mesh network architecture supporting a terminal / relay dual mode. The device integrates a quantum random number generator, a post quantum cryptography coprocessor and a mixed key engine. The method integrates the advantages of quantum physical security and post quantum cryptography, has high security and availability, and is suitable for constructing a key infrastructure security communication network resisting quantum computing attack.

A wireless communication network is described, which includes one or more relay devices and one or more user devices, UEs. A relay devices provides a first bidirectional link having first relay resources, and a second bidirectional link having second relay resources, the first and second bidirectional links using a first interface for a communication with a radio access network, RAN, of the wireless communication network, e.g., the Uu interface. A UE is to perform a direct communication with a network entity of the wireless communication network via the relay device on one or more the first relay resources or on one more of the first and second relay resources using a second interface for a device-to-device, D2D, or sidelink, SL, communication in the wireless communication network, e.g., the PC5 interface.

The invention discloses a block chain cross-domain service method and system based on sharing verification and a smart contract, and the method comprises the steps: building a cross-domain sharing channel between a first business domain of a first block chain and a second business domain of a second block chain through a main node on a relay chain; performing hash operation on the original data to obtain a data fingerprint, packaging the data fingerprint, the data metadata and the digital signature of the data holding node into a first message, and submitting the first message to a relay chain through a sharing channel; after receiving the first message, performing consensus verification on the data fingerprint based on a threshold signature mechanism, and writing a verification result into a shared state table; querying the verification state of the data fingerprint from the sharing state table through the data use node in the second service domain, and requesting to download the encrypted data from the intelligent contract of the relay chain; executing permission judgment, and triggering a key distribution contract to transmit a decryption key to a data use node; and downloading the encrypted data, and writing the cross-domain data sharing transaction record into a block chain account book of the second business domain.

This application provides a communication method and apparatus. In one example, a communication system includes a first communication apparatus, and a first relay communication apparatus; where the first communication apparatus is configured to: send a first quality of service (QoS) parameter to the first relay communication apparatus, wherein the first QoS parameter indicates a QoS requirement for sending a first service from the first communication apparatus to a second communication apparatus, and the first relay communication apparatus is a relay communication apparatus between the first communication apparatus and the second communication apparatus; the first relay communication apparatus is configured to: receive the first QoS parameter, determine a second QoS parameter based on the first QoS parameter, and the first communication apparatus is further configured to: receive the second QoS parameter.

Provided are a method of a source donor base station for controlling controls operation of a mobile relay, and an apparatus thereof. The method may include: transmitting a handover request message to a target donor base station; receiving, from the target donor base station, a handover response message which contains radio resource configuration information for at least one of a mobile relay and terminals served by the mobile relay; and controlling to indicate the radio resource configuration information to at least one of the mobile relay and the terminals.