21919results about "Network topologies" patented technology

The invention discloses a distributed slope monitoring system based on edge cloud collaborative intelligent adaptive decision. The distributed slope monitoring system comprises a plurality of intelligent sensing unit ISU nodes deployed at key positions of a slope and a data processing and intelligent analysis unit, each intelligent sensing unit ISU node is used for transmitting data to an edge gateway in an ad hoc network wireless mode or directly uploading the data to a cloud platform and carrying out slope monitoring based on a local adaptive monitoring strategy; the data processing and intelligent analysis unit comprises an edge intelligent module, a cloud gateway and an edge gateway; the edge gateway serves as a middle layer and is used for protocol conversion, data aggregation, temporary storage and preliminary analysis; the cloud gateway is used for providing calculation and storage resources, training a more complex AI model based on historical and real-time data, and performing pattern recognition, prediction analysis and anomaly detection tasks; the edge intelligent module comprises a plurality of edge computing nodes and is internally provided with a lightweight AI reasoning unit, and the edge intelligent module is arranged on the edge side and used for implementing edge intelligent processing.

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 a low-altitude unmanned aerial vehicle trajectory tracking and monitoring method based on a 5G-A communication sensing integrated base station, and relates to the technical field of low-altitude traffic management and communication sensing fusion, and the method comprises the steps: firstly collecting multi-source data such as a communication sensing fusion signal, environment interference and unmanned aerial vehicle attributes, and carrying out the alignment and packaging of a unified timestamp and a coordinate system into a synchronous data frame; then, deep fusion and anti-interference processing are carried out on the data frames, noise is filtered out, and pure fusion data is generated; and furthermore, real-time track calculation and motion trend prediction are carried out on pure data by utilizing multi-base-station cooperative calculation and prediction. Based on this, through a multi-target feature recognition and clustering separation mechanism, independent individual trajectories are accurately stripped from a complex mixed data stream, and compliance verification and anomaly judgment are performed on the trajectories in combination with an airspace rule base. In this way, the problems of signal interference and multi-target aliasing in a complex environment can be effectively solved, and therefore high-precision global tracking of the low-altitude unmanned aerial vehicle and real-time monitoring of abnormal behaviors are achieved.

The invention discloses an adaptive modulation anti-multipath unmanned aerial vehicle swarm communication method and system based on MIMO-OFDM, and relates to the technical field of wireless communication, and the method comprises the steps: receiving a down-conversion baseband; synchronization and compensation are carried out; removing a cyclic prefix and carrying out fast Fourier transform; estimating a channel and noise on the training and pilot frequency, and correcting a common phase; performing frequency domain equalization and soft decision, forward error correction and cyclic redundancy check according to the estimation to obtain a control parameter, decoding a payload according to the control parameter, and performing statistics to form a link quality indication; modulating coding, bandwidth and spatial mode, configuring mapping, power and weight, and packaging physical layer protocol data; carrier sensing conflict avoiding sending, confirmation and retry are adopted to generate media access statistics; and the routing selects the next-hop multi-hop forwarding according to the transmission quality, and performs end-to-end statistics and recharge. Through cooperation of hierarchical synchronization and phase correction with cyclic prefix and FFT, crosstalk is suppressed, channel noise scale optimization soft decision is robust, data decoupling is controlled, and end-to-end availability is improved through multi-hop self-healing recharge.

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.

A first access point (AP) receives from a second AP a first frame comprising a multi-AP frequency channel assignment for a multi-AP transmission, the multi-AP frequency channel assignment comprising a first frequency channel allocated to the first AP for the multi-AP transmission. The first AP transmits a second frame on the first frequency channel during the multi-AP transmission, and, on condition that the first frequency channel is different from a primary channel of the first AP, transmits a portion of a preamble of the second frame, comprising the multi-AP frequency channel assignment, on the primary channel of the first AP.

The invention relates to the field of wireless communication and intelligent networks, in particular to a software defined radio-based ad hoc network dynamic slicing architecture and a management and control method, comprising a basic communication layer, an intelligent control layer and a service execution layer. The basic communication layer adopts a multi-distribution multi-center clustering architecture; the intelligent control layer is responsible for intelligent management and resource scheduling of the self-organizing network, and the intelligent control layer comprises a plurality of command and control nodes; and the service execution layer adopts a micro-service-based architecture, and encapsulates different network functions and service logics into independent micro-service modules. According to the method, the technical problems of high plane coupling, resource scheduling rigidness, insufficient survivability and high hardware dependency in the prior art are solved.

Techniques described herein include solutions for configuring and using parallel measurement gaps with the same gap type for both synchronization signal block (SSB) based and channel state information reference signal (CSI-RS) based measurements associated to the same frequency layer. A User Equipment (UE) may indicate its capability to support parallel measurement gaps to a non-terrestrial base station. The capability may be indicated individually for SSB based and CSI-RS based measurements, or in a combined format for both SSB based and CSI-RS based measurements. The UE receives a measurement gap configuration to configure the parallel measurement gaps and performs measurements accordingly. The measurement gaps for SSB based measurements and the measurement gaps for CSI-RS based measurements may be considered as associated to the same or different frequency layers depending on various conditions.

The invention discloses a multi-mode communication module oriented to deep integration of a low-altitude aircraft and a ground network and a networking and dynamic switching method thereof, relates to the technical field of low-altitude aircraft communication, and discloses a networking and dynamic switching method of the multi-mode communication module oriented to deep integration of the low-altitude aircraft and the ground network and the multi-mode communication module. Through dynamic threshold calculation, a pre-switching prediction model and an FPGA hard trigger mechanism, intelligent communication resource allocation based on the real-time state and environment change of the aircraft is realized, and dual-mode switching is quickly triggered when the link quality is reduced or a blind area is predicted to be entered. The problems that a traditional communication mode is poor in stability and low in switching efficiency in a complex low-altitude environment are effectively solved, the communication reliability can be improved, and the data transmission continuity can be guaranteed.

The invention discloses a hydraulic engineering seepage intelligent monitoring system and method, and belongs to the technical field of hydraulic engineering safety monitoring. The system comprises the following modules: a multi-source data acquisition module used for acquiring multiple types of monitoring data in real time through an intelligent sensor network; the double-window time sequence analysis module is used for constructing a quick response window and a trend analysis window to realize double identification of sudden anomalies and long-term trends; the self-learning threshold optimization module is used for automatically extracting a key quantile threshold based on the distribution characteristics of the monitoring data and continuously optimizing weight configuration and early warning threshold setting of various statistical indexes; the multi-scale fusion early warning module is used for performing multi-source information fusion, generating a comprehensive change index and a multi-stage early warning state, and outputting a seepage abnormity early warning signal and a corresponding confidence coefficient; and the visual decision support module provides visual data display, emergency response guidance and intelligent decision support.

The invention discloses a building facility detection data intelligent analysis and report system and method, and relates to the technical field of building structure health monitoring, and the method comprises the steps: achieving the high-precision data capture in a strong light dust raising environment through a laser radar and a dual-spectrum camera of a multi-mode anti-interference collection module; a millimeter wave radar array and an IMU inertial unit of the high-risk area strengthening module penetrate through severe working conditions to monitor key structure displacement; the credibility management engine is provided with an NFC timestamp chip and a double-chain block chain, and data judicial-level credibility and operation traceability are ensured; through humidity response gel packaging and Peltier semiconductor refrigeration of the self-maintenance sensing network, node environment self-adaption and drift suppression are achieved; and the multi-stage analysis center fuses edge-cloud computing power based on federal learning, generates a dynamic risk map and automatically outputs a compliance report. Accurate and timely reference is provided for operation and maintenance decisions, and the safety management level of building facilities is effectively improved.

Various aspects of the present disclosure relate to soft resource management in integrated access and backhaul may be used. An apparatus includes a transceiver that receives configurations for a plurality of resource block groups, the configurations comprising an indication that the plurality of resource block groups is soft and an availability combination associated with the plurality of resource block groups and receives an availability indication control message associated with the availability combination, the availability indication control message comprising an availability indication field associated with the plurality of resource block groups. The apparatus includes a processor that determines that physical resource blocks in the plurality of resource block groups in a plurality of physical resource block groups are available in response to the availability indication field being equal to ‘1’ and unavailable in response to the availability indication field being equal to ‘0’.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiments herein provide methods for handling disaster roaming service in network by UE. The method includes determining whether the UE receives a NAS message without integrity protection from a combination of first PLMN and second PLMN upon sending a registration request message to combination of first PLMN and second PLMN after expiry of a timer. In an embodiment, the method includes determining a count of attempt to combination of first PLMN and second PLMN meets a predefined threshold and determining that first PLMN is genuine network in which UE is not allowed to get disaster roaming service and blocking to retry on combination of first PLMN and second PLMN in response to receiving NAS message without integrity protection from combination of first PLMN and second PLMN upon sending a registration request message to the combination of first PLMN and second PLMN after expiry of timer.

The invention provides a communication method, device and system, and is applied to the technical field of communication. According to the communication method provided by the invention, the network side can be triggered in time to adjust the time advance for the terminal equipment when the GNSS information of the terminal equipment is invalid. The communication method comprises the following steps: the terminal equipment sends a first message to access network equipment based on GNSS information before failure under the condition that the GNSS information of the terminal equipment is determined to be invalid. And the terminal equipment receives first indication information from the access network equipment, the first indication information is used for indicating a first parameter, and the first parameter is used for determining the time advance of the terminal equipment for sending uplink data next time.

The invention discloses an intelligent method and system for multi-source heterogeneous data fusion management, and belongs to the field of data processing, and the intelligent method for multi-source heterogeneous data fusion management comprises the following steps: deploying a sensor network in a historical ponding area based on historical ponding point data and urban hydrological geographic information, acquiring real-time monitoring data, wherein the real-time monitoring data comprises rainfall intensity, road waterlogging depth, community waterlogging condition and drainage pipe network water level / flow; compared with the prior art, the method has the beneficial effects that sensors are arranged in the historical ponding area to obtain real-time monitoring data, and weather forecast, a terrain model and a pipe network model are combined to construct a waterlogging prediction model to predict whether a ponding risk exists in the historical ponding area in future set time (such as 0.5-3 hours in the future); the ponding risk is treated in advance, so that the problems of traffic interruption caused by ponding, citizen travel obstruction and the like are solved.

Methods of performing a dispatched logistics operation for delivery / pickup of items using a modular autonomous bot apparatus assembly (with a modular autonomy module, cargo storage system, auxiliary power module, and mobility base) and a dispatch server. The modular autonomy control module receives a dispatch command from the dispatch server and authenticates that each of the modular components in the assembly are compatible with the particular dispatched logistics operation. The bot assembly receives the transported item, autonomously moves from an origin location to a destination per the dispatch command using the mobility base autonomously controlled by the modular autonomy control module, receives authentication input that at least correlates to authentication information in the dispatch comment to allow selective access to the modular cargo storage system of the bot assembly, and then autonomously returns to the origin after the item is detected removed from the cargo storage system.

A Private Mobile Network (PMN) orchestrator sends, to a controller for a public mobile network, a message indicating one or more network functions for a private mobile network slice for a private mobile network and configuration information for the private mobile network slice. In some examples, the message is a Global System for Mobile communications Association (GSMA) NEtwork Slice Type (NEST) extended to specify the one or more network functions for the private mobile network slice and the configuration information for the private mobile network slice. The message enables the public mobile network to deploy a public mobile network slice that extends the private mobile network slice.

The invention discloses an Internet of Vehicles federated learning excitation method and system based on a Nash game and a coalition game, and the method comprises the steps: initializing a vehicle client set in an Internet of Vehicles environment, and enabling a server to broadcast global model parameters to all clients; a two-stage Nash game model is established, the first stage is used for determining an alliance set in the vehicle client set, and the second stage is used for bargaining to optimize resource contribution; negotiating and determining an optimal data contribution ratio and an optimal resource contribution ratio based on the server side and the alliance set by using the two-stage Nash game model; and the server allocates rewards to the alliance set according to the optimal data contribution proportion and the optimal resource contribution proportion. The method can adapt to high dynamics of the Internet of Vehicles, and fair and efficient resource allocation is realized.

The invention provides a vehicle identity anonymous authentication method in a space-air-ground fusion vehicle-mounted network. The method comprises the following steps: carrying out multi-source data acquisition; generating a dynamic area identifier based on the vehicle real-time position data, and performing dynamic updating according to a vehicle moving threshold value; vehicle equipment identification information is acquired, a salted hash value is generated in combination with the dynamic region identifier, and an anonymous certificate containing dynamic effective duration is generated; extracting spatio-temporal data fluctuation parameters according to the environmental perception data, and extracting delay trend parameters and channel stability parameters according to the regional network state data; the weight is dynamically adjusted according to the link type and the time period type, and the dynamic trust quantized value of the vehicle is calculated through weighted summation; differential authentication is executed based on the dynamic trust quantized value of the vehicle and the anonymous voucher, and the differential authentication comprises the steps that lightweight verification is adopted when the vehicle is highly trusted, two-factor authentication is started when the vehicle is low trusted, and link timeout redundancy authentication is combined. According to the method, the trust evaluation accuracy can be improved, and the dynamism of a privacy protection mechanism is enhanced.

The invention relates to the technical field of adaptive routing optimization, and particularly discloses a topology self-recognition and routing optimization method and system for a concentrator and a collector, and the method comprises the steps: carrying out the topology modeling of a multi-layer heterogeneous network; executing high-speed link state monitoring based on the initial topological graph; global loop detection and link optimization are completed based on the link state matrix; a weighted robust multi-dimensional path selection method is adopted to configure a main path and a standby path for each node; and monitoring the path state in real time and dynamically switching. In the prior art, a static route, a single protocol path or a fixed main and standby path is mainly adopted, and especially in a cross-protocol, cross-level and dynamic multi-node environment in a smart city, rapid path switching and high-reliability route redundancy guarantee cannot be realized. Due to the fact that the multi-dimensional path selection method and the cross-level and cross-protocol self-adaptive switching strategy are adopted, the problems of routing interruption and performance reduction are avoided, and the reliability of the whole network is improved.

This disclosure provides methods, components, devices and systems for coordinated time division multiple access (C-TDMA) in Wi-Fi networks for partial bandwidth transmission opportunity (TXOP) sharing. Some aspects more specifically relate to coordinating TXOP sharing in time and frequency. In some examples, a first access point (AP) obtains a TXOP associated with a bandwidth, allocates a duration of the TXOP to a second AP, and selectively communicates with one or more stations (STAs) associated with the first AP via a first portion of the bandwidth within the duration of the TXOP. In other words, the first AP may selectively communicate with one or more STAs associated with the first AP within the duration of the TXOP that the first AP shared with the second AP. Various disclosed protocols and mechanisms further relate to using resources that would otherwise be unutilized within a framework of coordinated medium access.

The invention discloses a time synchronization method suitable for a satellite communication system, and the method comprises the steps: analyzing a forward broadcast signal, and obtaining the reference time of a network clock; constructing a geometric prediction handle based on satellite orbit data, and predicting one-way propagation time delay between a terminal and a satellite by using the geometric prediction handle; estimating the processing delay of the terminal according to the symbol rate and the equipment working condition of the terminal and the delay calibration data; fusing the network clock reference time with the processing delay estimate to synthesize a terminal local time; and the sending time of the return link is calculated based on the local time and the propagation delay prediction. According to the method, the synchronization precision can be improved to a microsecond level, the convergence speed in a dynamic scene is accelerated, adaptive compression of the guard interval is supported, and the stability and spectrum efficiency of a satellite communication system are effectively improved.

The invention discloses a low earth orbit satellite network digital twin drive switching optimization method and system, and relates to the technical field of inter-satellite communication, and the method comprises the steps: building a digital twin system which is synchronously evolved with a physical LEO satellite network; predicting the link quality between each candidate satellite and the user terminal in a future time window based on a digital twin system; dividing a time window into a plurality of continuous time slices, constructing a directed weighted dynamic graph model which takes a satellite-time slice as a node and takes link comprehensive utility cost as an edge weight, and searching an optimal path in the directed weighted dynamic graph model by utilizing a shortest path algorithm so as to determine an optimal switching opportunity and a target satellite sequence; the optimal switching strategy is issued to a user terminal to be executed, and a link quality prediction result is corrected in real time through a feedback mechanism of the digital twin system to form closed-loop optimization; the method can effectively meet differentiated service quality requirements in a multi-service scene, and is suitable for a high-dynamic LEO satellite communication system.

A method and apparatus for multi-link device (MLD)-based roaming in a wireless LAN system are disclosed. The method performed by a first STA in a wireless LAN system comprises the steps of: receiving, from a first access point (AP) belonging to a first group, announcement information including first information related to whether or not an addition of at least one link is supported for the first STA; transmitting, to the first AP, a request frame including a link ID of a second AP belonging to a second group; and receiving, from the first AP, a response frame including the link ID of the second AP, wherein the request frame may include second information requesting an addition or deletion of a link between the first STA and the second AP.

The invention provides a dynamic spectrum prediction method based on a time sequence knowledge graph, a medium and equipment. The method comprises the following steps: constructing a communication spectrum coordination knowledge graph framework structure fusing static knowledge and dynamic knowledge; constructing a knowledge embedding model based on a cyclic evolution network, and realizing semantic representation of entities and relationships thereof in an electromagnetic spectrum space; through a knowledge fusion method, static knowledge embedding and dynamic knowledge embedding are fused with historical communication node frequency data so as to realize feature interaction of a static knowledge graph and a dynamic knowledge graph, and features of communication nodes in a frequency domain are extracted at the same time; constructing a space-time diagram convolutional neural network model, extracting space correlation characteristics between nodes, capturing a time evolution rule of node attributes, and dynamically predicting communication frequency; according to the method, the characteristics of the communication node frequency are effectively extracted from the communication semantic relationship, and the prediction precision of the communication frequency is remarkably improved.

The invention provides a smart power grid cloud edge collaborative heterogeneous data security access method, which comprises the following steps: collecting multi-source heterogeneous power equipment data in real time based on a deployed multi-mode sensor network; based on a lightweight federated learning edge inference engine deployed on an edge end network, performing adaptive semantic enhancement preprocessing on the multi-source heterogeneous power equipment data to generate an edge encryption feature tensor; performing three-dimensional credible security authentication and knowledge fusion on the edge encryption feature tensor based on an electric power space-time knowledge graph fusion engine deployed on the cloud side to generate secure and credible electric power data; and performing space-time causal reasoning and twin mirror image comparison on the secure and credible power data based on a federated block chain-driven digital twin decision engine deployed at a cloud end to generate a dynamic security policy map and store the dynamic security policy map. According to the scheme, the data security is enhanced, intelligent analysis and dynamic decision can be performed according to the real-time state of the power grid, and optimal scheduling and stable operation of the power grid are realized.

Methods for wireless local area network (WLAN) sensing are provided herein. A method performed by a sensing responder may include receiving a first sensing measurement setup request message indicating a first one or more parameters to be used in a sensing measurement procedure. The method may include transmitting a first sensing measurement setup response message indicating at least one parameter that differs from the first one or more parameters indicated by the sensing measurement setup request message. The method may include receiving a second sensing measurement setup request message indicating a second one or more parameters to be used in the sensing measurement procedure. The second one or more parameters to be used in the sensing measurement procedure may include at least one parameter that differs from the first one or more parameters indicated by the first sensing measurement setup request message.

The invention belongs to the technical field of intelligent electric power internet of things, and particularly relates to an unmanned aerial vehicle heterogeneous terminal self-adaptive security access method for electric power edge computing, which comprises the following specific steps: terminal registration and credible anchoring: binding a hardware-level identity, collecting a multi-mode fingerprint and constructing a security behavior portrait; self-adaptive access authentication is carried out; dynamic behavior monitoring and baseline adjustment: establishing an identity authentication and management system, synchronously carrying out multi-dimensional real-time monitoring, carrying out linkage treatment on abnormal behaviors, and adopting a baseline evolution mechanism to avoid misjudgment; the multi-dimensional real-time monitoring comprises terminal service trend monitoring and flow situation analysis; and performing safe closed loop and cooperative response. According to the invention, unified risk detection of the unmanned aerial vehicle can be realized, real-time monitoring of vulnerabilities, access authority and operation states of the unmanned aerial vehicle is carried out, a dynamic behavior monitoring model is constructed in combination with unmanned aerial vehicle terminal information, business data, environment data and the like, and real-time monitoring and early warning of the unmanned aerial vehicle terminal are realized.

The invention provides a virtual power plant dynamic response scheduling method and system based on a cognitive spectrum network, which can improve the reliability, self-adaptive capability calculation efficiency and risk management and control capability of a virtual power plant communication system, and relates to the technical field of virtual power plants, the method comprises the following steps: establishing a cognitive spectrum self-organizing network; collecting current operation state data of each power resource under the virtual power plant and historical operation state data under different working conditions; obtaining a resource response characteristic of each power resource; outputting a preliminary optimization result; converting the preliminary optimization result into a credible optimization result; generating a system risk partition topology report; a market risk hedging strategy capable of being automatically executed is generated; and generating a final scheduling instruction containing the power set value, the execution time, the hedging operation and the risk constraint condition of each resource. According to the method, a feasible technical path is provided for large-scale efficient utilization of distributed resources under the background of the energy internet.

The invention discloses a satellite terminal adaptive power adjusting system. The system comprises an attitude sensor module used for collecting three-dimensional attitude data of a terminal; the antenna pattern database is used for storing theoretical gain values of the panel omnidirectional antenna in different attitudes; the gain prediction engine is used for calculating theoretical gain according to the current attitude data and the directional diagram database; the signal quality detection module is used for collecting the intensity, the signal-to-noise ratio and the bit error rate of the received signal in real time; the power control algorithm module fuses the gain prediction value and the signal quality feedback and is used for generating a dynamic transmitting power instruction; the radio frequency power amplifier is used for executing the power adjusting instruction and outputting an adjusted transmitting signal; the invention further discloses a satellite terminal self-adaptive power adjusting method. According to the invention, the problem of balance between satellite terminal communication stability and power consumption efficiency in a complex environment is solved.