30 results about "Link level" patented technology

The invention belongs to the technical field of mobile edge computing, and discloses a task scheduling method based on dynamic cloud edge collaboration. According to the invention, through link-level modeling and graph neural network feature extraction, adaptive expansion of different numbers of terminals and servers is realized; according to the method, the problems of instability and over-estimation in training are effectively avoided by combining cutting updating of a near-end strategy optimization algorithm and a generalized advantage estimation method. According to the method, the elastic computing power of the cloud and the edge low-delay characteristic can be fully utilized, the dynamically changing network scale and terminal requirements can be adapted, flexible unloading of tasks and dynamic resource allocation can be realized, task processing delay can be effectively reduced in a dynamic environment, the resource utilization rate is improved, and the resource utilization rate is increased. And good expansibility and stability are maintained under the condition that the number of terminals and the scale of the server fluctuate, the problems of computing resource bottleneck and task scheduling stiffness existing in the virtual reality video service of the existing mobile edge computing are solved, and the interaction experience of the user is remarkably improved.

The invention discloses a marine phytoplankton abundance monitoring method based on data driving and an underwater acoustic network, and the method comprises the steps: building and training a multi-level spatial-temporal feature integration model based on the historical marine phytoplankton abundance and the corresponding marine environment data, and solving the optimal spatial position and monitoring time window of an underwater acoustic network node; constructing a teacher model which comprises a multi-layer cascade structure and a residual module and is used for channel prediction, and compressing the teacher model into a student model by adopting spatio-temporal knowledge distillation; the student model is trained, and channel state real-time prediction is realized at the underwater acoustic network node; on the basis of the optimal spatial position of an underwater acoustic network node and a real-time predicted channel state, adaptive underwater acoustic communication models and seasonal optimal routing strategies are matched, adaptive modulation and coding are executed at a link level, and monitoring of abundance of phytoplankton is completed based on an underwater acoustic network. According to the invention, the data throughput and prediction precision can be improved under strict energy consumption constraints.

The invention provides a product full production cycle carbon footprint tracing evaluation method and system, and relates to the technical field of carbon footprint tracing, and the method comprises the steps: obtaining production activity data of each link of a product full life cycle, constructing a directed weighted network model, and executing path traversal, extracting a traversal path of which the path carbon intensity meets a preset path carbon intensity condition as a first carbon flow path, obtaining the node net carbon emission of each node, and determining the apportionment amount of each node to the third-range indirect emission; and matching the production activity data of the link corresponding to each node with the emission parameters in the carbon emission database to obtain the link carbon emission intensity of each link, and determining the link carbon emission of each link based on the link carbon emission intensity and the node net carbon emission. According to the method and the device, a small-flow high-carbon emission intensity path can be identified, and the range three-emission accounting accuracy is improved to the level of tracing to a specific supply chain node through a double-layer mapping relation of link level microscopic accounting and node level macroscopic tracing.

The invention relates to the technical field of data storage, and discloses a solid state disk temperature cycle test method based on multi-stress coupling, and the method comprises the steps: initializing a test environment; determining the temperature range of the dynamic temperature change test and the voltage range of the dynamic voltage test, and testing the operation record of the solid state disk to be tested according to the temperature range of the dynamic temperature change test and the voltage range of the dynamic voltage test; increasing the vibration frequency of the simulation environment vibration of the solid state disk to be tested in the dynamic temperature change test in which the operation test is kept within the preset time range, and executing a specific type of I / O operation mode test; sMART data, real-time power consumption and link-level bit error rate output by the I / O operation mode are recorded in real time based on the data acquisition system. According to the method, the complex environment of the solid state disk in an actual application scene is comprehensively reflected, the limitation that only single environment stress is considered in a traditional temperature cycle test is overcome, and the test comprehensiveness and accuracy are improved.

The application discloses an optical link test method and device based on optical frequency domain reflection, which comprises the following steps: measuring echo optical signals of an optical link in an initial state by using a frequency domain reflectometer to obtain a first signal; measuring the echo optical signals of the optical link after changing the function state of the optical link again by using the frequency domain reflectometer to obtain a second signal; performing fast Fourier transform on the measured first signal and second signal respectively to obtain corresponding frequency domain signals and a distance-power relationship curve; converting the same frequency band in the two frequency domain signals into time domain signals by sliding window interception; performing cross-correlation operation on the time domain signals of the two groups of signals to obtain Rayleigh scattering frequency shift; and obtaining a distance-power distribution curve by calculation in combination with a coefficient. The application can realize fast and accurate measurement and calibration of optical field amplitude and phase parameters of an integrated system from a device level to a link level, and efficiently measure return loss, insertion loss, spectrum, delay and other parameters of an optical link on a chip.

The invention discloses a charging communication link self-healing method and device and a storage medium, and belongs to the technical field of charging, and the method comprises the steps: monitoring the quality of a communication link with a BMS; in the multi-packet message interaction process, dynamically setting a threshold value of an overtime timer based on the communication link quality; and when the overtime timer is overtime and does not receive an expected message, selecting and executing a self-healing action of a corresponding level from predefined multi-level self-healing strategies according to the current interaction stage and the link quality, the multi-level self-healing strategies including message-level self-healing, session-level self-healing and link-level self-healing. According to the method, intelligent self-healing of the charging communication link is realized through link quality monitoring, dynamic timeout and a multi-stage self-healing strategy, the problem of flow jamming caused by message loss can be effectively solved on the premise of not modifying BMS software, and the charging success rate and the user experience are improved.

This invention relates to the field of smart agriculture technology, specifically disclosing a livestock farming KPI automatic generation system and method based on multi-source data governance. The method includes: S1, decomposing the beef cattle ecological farming industry chain into links, defining multi-dimensional parameters for each link, and determining the technical feasibility range of each parameter; S2, receiving target input from the terminal, including quarterly beef sales targets, carbon emission quotas, and water resource budgets; constructing an objective function based on the target input; calculating initial KPI values ​​at the link level based on the objective function; S3, after completing an execution cycle, acquiring the actual completion data of each link, comparing it with the initial KPI target values ​​generated in step S2, calculating the deviation rate, and dynamically correcting the KPI target for the next cycle according to preset rules. The technical solution of this invention can coordinate multiple resource constraints and achieve adaptive adjustment of indicators.

A virtualized network function (VNF) of a network function virtualization (NFV) link level architecture includes a management plane function (MPF) to map a logical interface as a virtual interface in a control plane function (CPF) of the VNF. The MPF maps a logical resource of the NFV virtualization link level architecture as a shadow resource on one or more data plane functions (DPFs) of the VNF, wherein a virtual link is formed by the logical interface, the shadow resource, and the virtual interface. One of the DPFs receives a packet over the virtual link from a switch and classifies a type of the packet. In response to the packet type being a data packet, the DPF aggregates the packet with other data packets to form aggregated data packets and sends the aggregated data packets to the switch.

Aspects described herein relate to configuration and selection of preamble and payload occasions for performing a two-step random access procedure. The configuration of preamble occasions, payload occasions, association patterns between occasions and synchronization signal block (SSB) beams, and rules for selecting preamble and payload occasions for random access message transmission can be determined by a network and signaled to a user equipment (UE). Based on the configuration and rules, the UE can measure link level quality and select possible preamble and payload occasions for one or more SSB beams that reach a threshold signal quality. A set of one or more preamble occasions and one or more payload occasions can be further determined based on whether the preamble and payload occasions can achieve a threshold transmission latency. The one or more preamble occasions and the one or more payload occasions can be used to transmit a random access message in a two-step random access procedure.

The invention provides a semantic hierarchical multi-path video return method and system for vehicle insurance evidence collection and claim settlement, and the method comprises the steps: extracting a frame sequence in a time window by a terminal around a triggering moment after collision, case reporting or work order triggering; the final semantic importance degree of each frame is generated by combining end-side rapid evaluation and improvement of a convolutional neural network, the frames are graded, hierarchical coding based on ROI is implemented on an evidence focus area, the system perceives the quality of links such as Bluetooth or satellites in parallel, the distribution share and the backup degree are determined, and the distribution efficiency is improved. Carrying out fountain code type forward error correction on the fragments and then concurrently delivering the fragments in multiple links according to priorities; each coding block carries a content fingerprint, a chain type integrity label and a terminal digital signature; and the server side completes deduplication and verification, directionally supplementarily transmits missing data according to priorities, and forms a link-level arrival record. According to the scheme, priority arrival and verifiability of key evidences are realized in weak network and heterogeneous network environments, cost and energy consumption control is considered, and the method is suitable for forms such as automobile data recorders, mobile phone terminals and vehicle machine gateways.

The invention provides a file-free attack detection method, device and equipment and a computer readable medium, and belongs to the field of network and information security. According to the scheme, in the process of monitoring the key process, the calling behavior fragments related to the memory can be continuously collected, and the calling behavior sequence is obtained; performing dynamic feature extraction on the calling behavior sequence to obtain memory behavior features of the key process, such as memory behavior fingerprints, execution chain node representation and the like; and executing a corresponding anomaly detection method based on the memory behavior characteristics, such as a fingerprint matching method corresponding to a memory behavior fingerprint, an abnormal path scoring method corresponding to execution chain node representation and the like, and obtaining an anomaly detection result without file attack. According to the scheme, the calling behavior sequence of the memory related to the key process is collected for dynamic feature extraction, single-point, continuous and multi-section behavior anomalies can be comprehensively recognized, potential attack behaviors can be mined, linkage analysis is carried out on the link level, continuous and anti-interference detection is achieved, and high elasticity and flexible configuration are achieved.

The invention discloses a double-level toughness evaluation and classification method based on heterogeneous flow requirements, and belongs to the technical field of calculation, reckoning or counting. The method comprises the following steps: acquiring traffic demand data and road link quality data, constructing a time-varying network diagram of an urban road traffic system, establishing an accessibility matrix based on a link quality matrix to obtain a demand weighting coefficient, further integrating a demand weighting coefficient curve in a threshold interval [0, 1], and averaging in a given time interval to obtain a global toughness index; calculating a key score of each link based on identification of restrictive links in the O-D demand path; calculating a toughness index of the link hierarchy based on the key score and quality of each link; carrying out evaluation consistency verification on a link level and a global level; and classifying the links according to the key scores of the links and the distribution of the link quality data. By adopting the method, the toughness evaluation precision and the management decision-making capability of the urban road traffic system can be improved when the urban road traffic system deals with high-frequency slight daily disturbance.

The invention discloses a connectionless DDoS attack countering method and device, and the method comprises the steps: carrying out the statistics of communication behaviors between each protocol address and a server, and obtaining the communication information of each protocol address. And for any protocol address, periodically performing feature extraction according to the communication information of the protocol address to obtain a communication feature of the protocol address, and determining an abnormal value of the protocol address according to the communication feature. And if the abnormal value of the protocol address exceeds the threshold value, sending a response data packet to the protocol address according to a preset frequency in a preset time period, and determining the abnormal value in the preset time period based on the communication behavior of the protocol address in the preset time period. And if the abnormal value of the protocol address in the preset time period does not exceed the threshold value, stopping sending the response data packet to the protocol address. Path redirection and response recharge strike are implemented on an attack behavior, so that continuous consumption of an exit bandwidth resource is caused on the premise that an attacker does not perceive, and link-level suppression is realized.

The invention provides a link-level low-power-consumption two-way relay method for a wireless fire alarm system, relates to the field of fire alarm, and solves the problems of high energy consumption of multi-level relays, large downlink instruction delay and incapability of self-recovery after link out-of-step in the existing wireless fire alarm system. The method comprises the following steps that: the wireless terminal performs initial synchronization with the wireless repeater by using a maximum length preamble; the synchronization state of the wireless terminal and the wireless repeater is kept through preset periodic heartbeat communication, and the first clock accumulative error of the wireless repeater and the second clock accumulative error of the wireless terminal are monitored and calculated in real time. And predicting time data of the wireless repeater for periodically scanning the communication channel next time, and generating a low-power-consumption synchronization strategy. The optimized signal sending window and the shortened lead code length are recognized, and relay forwarding of uplink data or receiving and responding of downlink data are completed. And dynamically maintaining or forcibly reconstructing the synchronization state based on the communication success rate. The application is used in a fire alarm process.

The invention provides an alternating current charging pile real-time operation monitoring method and device based on multi-task scheduling, and relates to the technical field of alternating current charging piles, and the method comprises the steps: decoupling an operation monitoring processing link of an alternating current charging pile into a plurality of task units under a multi-thread multi-task scheduling framework, and in each monitoring period, carrying out the multi-task scheduling on the operation monitoring processing link of the alternating current charging pile; the method comprises the following steps: acquiring operation data output by each task unit, writing the operation data into a preset double-buffer snapshot area, issuing data snapshots corresponding to monitoring periods, obtaining time characteristics of data snapshots of adjacent monitoring periods, extracting sampling stability measurement indexes, aggregating to form data snapshot quality indexes, selecting a control strategy based on the data snapshot quality indexes, and controlling the data snapshots to be monitored according to the control strategy. And when the data snapshot quality index meets a preset compliance condition, entering a mode switching judgment process, thereby weakening the interference of multi-task concurrency and resource occupation in a weak network recovery period on criterion calculation from a link level of snapshot consistency guarantee-observation quality gating-transactional switching certification correction, and suppressing mode switching oscillation.

The invention discloses a multi-unmanned-platform collaborative navigation positioning method and system based on LLE-ICP (Link Level-Inductively Coupled Plasma). The system comprises an air unmanned platform, a ground unmanned platform, an airborne sensor and communication equipment. The method comprises the following steps: firstly, calculating position information and relative distance of each unmanned platform relative to a reference coordinate; then each unmanned platform calculates current position information of the unmanned platform by using data information of an inertial sensor, and carries out radio distance measurement through a communication module to obtain relative distance information with other unmanned platforms; the three-dimensional position is subjected to dimension reduction to form a two-dimensional coordinate, the coordinate is subjected to space conversion, and a converted two-dimensional coordinate point set is used as collaborative navigation data to be sent to each unmanned platform; and finally, compensating height positioning information of the unmanned platforms through an altimeter to realize multi-unmanned-platform collaborative navigation in a GNSS denial environment. According to the method, the precision and the stability of collaborative navigation of the multiple unmanned platforms in the GNSS denial environment are improved.

The invention relates to the technical field of file network transmission control, and discloses a file transmission method and system based on a cloud server. The method comprises the following steps: acquiring a target file to be transmitted; constructing a traceable link transmission unit; link transmission is carried out based on a path evolution mechanism of a Hopfield network; executing an abnormal path partition recognition task; and judging whether the retransmission operation of the target fragment is triggered or not. The technical problems that in the prior art, only fragment static unpacking is supported, abnormal path visualization is lacked, and particularly under the conditions of link congestion and frequent node fluctuation in large file multi-hop cross-region transmission, accurate location and retransmission control of region abnormity in the transmission process cannot be achieved are solved. According to the method, link time sequence embedding and state coding are introduced, and a Hopfield network dynamic evolution mechanism is combined, so that high-risk area detection and retransmission control from a link level to a fragment level are realized, and the stability of distributed transmission of large files is improved.

The invention discloses a multi-type measurement and control equipment comprehensive station distribution planning method based on a genetic algorithm, and the method comprises the following steps: configuring parameters for subsequent steps; loading data; the minimum geometric accuracy factor GDOP of the whole trajectory process is used as a station distribution planning objective function, the performance of measurement and control equipment, the station site condition, the link level and the number of observation stations are used as constraint conditions, the genetic algorithm is adopted to solve the layout objective function, and the optimal solution is obtained by optimizing a chromosome coding mode in the algorithm. Reasonable layout is realized for performing high-precision measurement on a target by adopting multiple types of measurement stations. According to the method, constraint conditions are constructed by using information such as task guarantee time periods, alternative sites, theoretical ballistic trajectories, equipment types, equipment quantity, equipment precision and equipment performance parameters, the ballistic trajectory precision is taken as a target function, a genetic algorithm is adopted for solving, and a chromosome coding mode in the algorithm is optimized, so that the accuracy of the target ballistic trajectory is improved. And a new thought is provided for the optimal station distribution problem of the measurement and control equipment.

The present disclosure relates to a communication link monitoring method, device, vehicle, medium and product, the method comprising: determining a link level identifier of a preset profile of each communication link; determining a monitoring level identifier of each communication link; for each communication link, in the case of determining that the communication link belongs to a to-be-monitored link according to the link level identifier and the monitoring level identifier of the communication link, inputting the preset profile of the communication link into a preset link monitoring server. In this way, by determining the link level identifier of the preset profile of each communication link and the monitoring level identifier of each communication link, and dynamically determining the to-be-monitored link according to the link level identifier and the monitoring level identifier of each communication link, the flexibility and scalability of communication link monitoring can be effectively improved, and the safety and reliability of the vehicle can be effectively improved.

The invention relates to the technical field of wireless communication, in particular to a wireless communication anti-interference method, circuit and system for a reinforced industrial tablet computer. The method comprises the following steps: performing frequency band specific filtering and impedance matching on an RFWBT Bluetooth signal and an RFWF5G wireless signal through a multi-stage filtering network, and performing frequency band specific processing on the Bluetooth and 5G Wi-Fi signal by constructing the multi-stage filtering network, thereby effectively eliminating crosstalk between signals of different frequency bands and improving the signal purity. The cross-band interference influence is reduced from the front-end radio frequency link level; gain, phase and time sequence interaction of multimode signals are dynamically calibrated by using an anti-interference algorithm integrated by a control chip, the problems of channel competition and phase noise during parallel transmission of the multimode signals are solved through a time division multiplexing mechanism and phase synchronization calibration, and collaborative optimization of multiple communication modules is realized.

Aspects described herein relate to configuring and selecting preamble and payload occasions for performing two-step random access procedures. Configurations on preamble occasions, payload occasions, association pattern between the occasions and synchronization signal block (SSB) beams, and the rules for selecting preamble and payload occasions for random access message transmission can be determined by the network and signaled to user equipment (UE). Based on the configurations and rules, UE can measure the link level quality and select possible preamble and payload occasions for one or more SSB beams achieving a threshold signal quality. Sets of one or more preamble occasions and one or more payload occasions can be further determined based on whether the preamble and payload occasion(s) can achieve a threshold transmission latency. The one or more preamble occasions and one or more payload occasions can be used to transmit random access messages in the two-step random access procedure.

The application discloses a knowledge base framework and an adaptive construction method for semantic communication and belongs to the technical field of semantic communication. The application considers link level and system level communication. The link level comprises task, signal source and channel semantic knowledge bases. The system level comprises scheduling semantic knowledge bases. The application fully considers the performance of existing communication equipment. Before data transmission starts, a transceiver selects a corresponding task node from a hardware-matched task semantic knowledge base based on a graph database according to a communication task, and is matched to an optimal signal source semantic knowledge base. Then, the transceiver extracts, recovers and encodes and decodes semantics according to prior information provided by the signal source semantic knowledge base to obtain semantic code words. In order to resist the influence of wireless fading, the application introduces a channel semantic knowledge base before and after the transceiver transmits and receives the semantic code words, perceives channel semantics and realizes semantic enhancement. The application comprehensively considers hardware performance, efficiently matches communication tasks, perceives a wireless channel environment, reduces communication bandwidth and simultaneously improves multi-scene and multi-task performance.

The invention discloses a verification method for a live-action model of secondary equipment of a transformer substation, and relates to the technical field of intelligent operation and maintenance of a power system, and the verification method comprises the following steps: S1, building a corresponding relation between a live-action object of the secondary equipment and field equipment, and extracting mapping parameters; s2, performing signal communication path verification by using the mapping parameter set to obtain a path consistency set; s3, performing signal feature synchronous comparison by using the path consistency set; s4, performing response consistency verification by using the feature matching set; and S5, performing comprehensive credibility judgment by using the path consistency set and the response check set. According to the invention, by setting a consistency analysis mechanism between the feature sequence after path mapping and the actual response sequence, dual verification can be carried out on the model at a structural link level and a signal response level at the same time, so that accurate verification of the live-action model of the secondary equipment is realized; the problem of insufficient verification depth caused by insufficient association of multi-source data in the prior art is effectively solved.

The invention discloses a network architecture system for realizing service system active-active disaster recovery capability for enterprise users, and relates to the technical field of service management systems. According to the invention, the two data centers with the same configuration and deployment are adopted, and the two data centers are interconnected through double links to form an active-active architecture, so that the basis of the active-active disaster recovery network architecture is provided. Besides, each level of equipment of the network architecture adopts two pieces of equipment which are interconnected in a duplex way, and the disaster recovery management platform globally monitors the two data centers in the system, so that the disaster recovery management platform triggers a disaster recovery switching instruction according to a preset strategy under the condition that any switch or one link fails, and the disaster recovery switching is realized. Seamless switching of services is achieved, and single-point faults of an equipment level and a link level are thoroughly eliminated. The reliability and service continuity of an enterprise service system are remarkably improved, and the problem that effective takeover of multiple service scenes cannot be achieved due to the fact that a single-point fault in a network architecture of a network architecture system of an existing disaster recovery data center is not clear is solved.

The present application belongs to the technical field of mobile edge computing, and discloses a task scheduling method based on dynamic cloud edge cooperation. Through link level modeling and graph neural network feature extraction, the present application realizes adaptive expansion of different numbers of terminals and servers; in combination with the pruning update of the near-end strategy optimization algorithm and the generalized advantage estimation method, the present application effectively avoids instability and overestimation problems in training. The present application can not only fully utilize the elastic computing power of the cloud and the low latency characteristics of the edge, but also adapt to the dynamically changing network size and terminal demand, and can realize flexible task offloading and dynamic resource allocation, effectively reduce task processing delay in a dynamic environment, improve resource utilization, and maintain good scalability and stability under the condition of terminal quantity and server scale fluctuation, solve the computing resource bottleneck and task scheduling rigidity problems existing in the virtual reality video service of the existing mobile edge computing, and significantly improve the user's interactive experience.

A virtualized network function (VNF) of a network function virtualization (NFV) link level architecture includes a management plane function (MPF) to map a logical interface as a virtual interface in a control plane function (CPF) of the VNF. The MPF maps a logical resource of the NFV virtualization link level architecture as a shadow resource on one or more data plane functions (DPFs) of the VNF, wherein a virtual link is formed by the logical interface, the shadow resource, and the virtual interface. One of the DPFs receives a packet over the virtual link from a switch and classifies a type of the packet. In response to the packet type being a data packet, the DPF aggregates the packet with other data packets to form aggregated data packets and sends the aggregated data packets to the switch.

This invention belongs to the field of high-altitude operation safety monitoring technology, and discloses a data processing method for intelligent safety helmets used in high-altitude operations based on edge computing and end-cloud collaboration. The intelligent safety helmet collects operation data to generate raw data frames. Edge computing nodes perform time alignment, missing data completion, and noise suppression on the raw data frames to form standard data frames. The standard data frames are segmented into events, and a first joint confidence score and a second joint confidence score are calculated. Supplementary sampling is performed on low-confidence candidate event segments. For candidate event segments that pass confidence gating, pre-defined discrimination and model discrimination are performed in parallel to obtain fused risk scores, risk levels, and consistency differences. The upload mode is determined based on the risk level, consistency difference, slope of change of fused risk scores, and link level. Cloud nodes perform spatiotemporal correlation, conflict resolution, and parameter updates, and perform event sequence summary consistency verification with edge computing nodes.

The present disclosure relates to a link topology graph display method and device, a storage medium and an electronic device. The method comprises: determining topology graph information corresponding to link data to be displayed, the topology graph information comprising a plurality of topology nodes and a plurality of edges formed by the plurality of topology nodes; determining a plurality of link levels corresponding to the link data according to the topology graph information; in the case where there is a target edge in the plurality of edges according to the plurality of link levels, the first link level in which a first topology node connected to one end of the target edge is located and the second link level in which a second topology node connected to the other end of the target edge are non-adjacent link levels, generating a virtual node corresponding to the target edge according to the first topology node and the second topology node in the intermediate link level between the first link level and the second link level; updating the target edge according to the virtual node corresponding to the target edge to obtain a target link topology graph corresponding to the link data; and displaying the target link topology graph.

Methods, systems, and devices for wireless communication are described. Beam management procedures can improve communication quality and reliability in wireless networks that support narrow directional beams and high frequencies. Some such beam management procedures utilize successive beam measurements and adaptive beam switching to maintain a threshold link level between devices. A user equipment (UE) can transmit, in response to a data transmission and using multiple receive beams, an indication of a capability to perform a first beam refinement procedure. The UE can select a communication beam using a first instance of a second beam refinement procedure, and can receive a data transmission from a base station using the selected beam. Based on receiving the data transmission, the UE can perform the first beam refinement procedure, and can skip a second instance of the second beam refinement procedure.

Methods and apparatuses for link level feature handling procedures for seamless roaming. A method performed by a current access point (AP) multi-link device (MLD) comprises performing a roaming procedure associated with a non-AP MLD roaming from the current AP MLD to a target AP MLD. The method includes transmitting, to the non-AP MLD via an information element, information indicating that downlink data forwarding of buffered downlink data of the non-AP MLD is supported by the current AP MLD and the target AP MLD. The method further includes transmitting, to the target AP MLD, the buffered downlink data of the non-AP MLD during data forwarding.