3517 results about "Communication quality" patented technology

The invention discloses a communication transceiving method and system for adaptive frequency hopping filtering, and relates to the technical field of communication. According to the method, the channel state is monitored in real time, the adaptive frequency hopping algorithm and the machine learning technology are adopted, the adaptability and the intelligent level of a communication system in a complex electromagnetic environment are improved, interference is effectively avoided, meanwhile, the antenna space constraint and the optimization algorithm are considered, the optimal antenna design parameters are calculated, the transmitting power control precision is improved, and the system performance is improved. The signal transmission efficiency and the communication quality are improved, the signal transmission quality and the system anti-interference capability are improved by dynamically adjusting the transmission power and the receiving end signal integrity keeping algorithm, the data accuracy and integrity are ensured, and the communication reliability and stability are enhanced.

The invention discloses an electronic lead seal automatic detection method applied to logistics tracking, and relates to the technical field of Internet of Things safety monitoring. The problems of packaging data loss, tampering risk increase and real-time monitoring failure caused by wireless communication signal interference, transmission delay and state updating lag of an existing electronic lead seal are solved. The method comprises the following steps: fusing multi-physical field sensing data through a space-time correlation sampling algorithm, and constructing an anti-interference characteristic matrix; evaluating communication quality based on the dynamic probability network model, and triggering a multi-path fragmentation concurrent transmission strategy to avoid signal attenuation; a hybrid reasoning model is deployed at an edge end to screen key event data, and the transmission efficiency is optimized in combination with differential coding and an IEEE 1588 clock synchronization mechanism; the cloud end adopts a space-time diagram fusion analysis model to carry out cross-modal abnormal association scoring, corrects misjudgment and updates an edge model; according to the invention, the communication reliability, the real-time transmission efficiency and the anomaly detection precision of the lead sealing state data in a complex environment are obviously improved.

The invention relates to an intelligent scheduling method and system for a virtual power plant, and aims to improve the precision and efficiency of distributed resource scheduling. The method comprises the following steps: monitoring the state of each distributed resource node of a virtual power plant, and collecting real-time output, charge state and communication quality indexes to obtain a resource state data set; and performing power prediction according to the resource state data set, calculating power prediction deviation in real time, and triggering online correction to obtain a power prediction sequence. And inputting the resource state data set and the power prediction sequence into an improved bee algorithm, and generating a target scheduling scheme of the virtual power plant through neighborhood search containing a prediction deviation correction term and probability selection based on communication reliability. And based on the target scheduling scheme, establishing a three-layer progressive optimization architecture, and realizing multi-time scale coordination through time coupling constraint to obtain a distributed resource power control instruction. By optimizing the resource scheduling scheme, the scheduling efficiency and the system reliability of the virtual power plant in a variable environment are improved.

The invention discloses an Internet of Vehicles communication resource allocation method based on federal multi-agent deep reinforcement learning, and belongs to the technical field of deep crossing of intelligent transportation, wireless communication and distributed machine learning. According to the technical scheme, in an Internet of Vehicles scene, a vehicle is taken as an agent, and local training is performed through a multi-agent depth deterministic strategy gradient algorithm: each agent decides spectrum access, power control and bandwidth allocation based on a local state; asynchronous federation learning is adopted, each agent uploads local model parameters to a global server, weights are dynamically adjusted based on model updating quality, communication quality and updating frequency, and a global model is generated through weighted aggregation; and issuing the updated global model to an intelligent agent to realize distributed privacy protection and dynamic optimization of communication resources. The method has the beneficial effects that the spectrum efficiency, the transmission success rate and the system adaptability are remarkably improved on the premise of ensuring the data security, and the method has wide application prospects and commercial values.

The present invention discloses a method and system for intelligent switching of communication protocols for an omni-channel contact center, the method comprising the steps of: evaluating the performance of each communication protocol according to user needs and the current system status, selecting the optimal communication protocol and opening the corresponding communication service for the user; continuously monitoring the communication quality under the selected current communication protocol, and triggering the reselection of the communication protocol if it is detected that the communication quality is lower than expected; re-evaluating the performance of each communication protocol under the current system state to select the target communication protocol, and switching the current communication service from the current communication protocol to the target communication protocol. The present invention realizes smooth switching between different communication protocols, can intelligently identify and automatically select the optimal communication method, while maintaining the continuity and quality of the call unaffected. In addition, the present invention also supports dynamic adjustment of the communication method according to network conditions, ensuring that users can obtain the best communication experience regardless of the network environment.

The invention discloses a power equipment safety state assessment method and system, equipment and a readable storage medium, and relates to the technical field of power equipment assessment, and the method comprises the steps: collecting a power equipment communication interaction data flow, carrying out the time synchronization and outlier elimination, and constructing a multi-modal data matrix; evaluating the exception probability score and an exception probability threshold to obtain an exception state flag, and generating a security event data packet in combination with the preliminary exception type and the power equipment communication interaction data stream; adopting a LiNGAM causal discovery algorithm to perform non-Gaussian test and time sequence lag analysis on an abnormal event time sequence in the security event data packet, and constructing a directed acyclic causal graph; dynamically adjusting the causal intensity of the directed acyclic causal graph according to the real-time equipment load rate and the communication quality index, and outputting a dynamic causal graph; according to the method, the accuracy and adaptability of abnormal propagation analysis are improved, and finally the real-time performance and credibility of safety assessment of the power equipment are enhanced.

The invention relates to a task and communication combined path planning method for a multi-base unmanned system. The method comprises the following steps: mapping task distribution into a target node layer, and constructing a communication link into a transmission link layer to form a task and communication double graph; establishing a dynamic coupling edge between the graphs to represent the influence of a task execution behavior on the communication quality; an interactive influence propagation model is introduced in the time dimension, and the feedback effect of communication link fluctuation on the task progress is simulated; providing time-space dynamic cost evaluation input for path planning; defining a task feasible domain and a communication strong connectivity domain in a time-space domain based on the double-layer graph output by the technology; constructing a joint feasibility domain (JFE), only allowing path planning to be expanded in the domain, and processing a splitting problem of communication repair after the path planning; performing multi-target compression on the path, and balancing task path time consumption, node connection stability and path redundancy consumption indexes; a graph homotopy simplification mechanism is introduced, and redundant edge paths in the JFE are compressed.

The invention relates to the technical field of mobile data communication services, and provides a power dual-mode carrier network communication quality improvement system and method based on an optimization algorithm, and the method comprises the steps that a network state monitoring module monitors the condition in a power dual-mode carrier network in real time, and transmits monitoring data to a channel quality evaluation and prediction module; the channel quality evaluation and prediction module evaluates the current channel quality by adopting a machine learning model based on the data provided by the network state monitoring module, and predicts the future channel quality change; the resource allocation optimization module is used for dynamically allocating carrier resources of a reverse link by adopting an optimization algorithm based on a channel quality prediction result and real-time network load information; and the cross-modal carrier fusion module provides an allocation scheme according to the resource allocation optimization module. According to the method, the resource utilization efficiency, the communication stability and the overall performance of the power dual-mode carrier network can be remarkably improved, and main problems existing in the prior art are solved.

The invention provides a satellite networking communication method, device and equipment, and the method comprises the steps: carrying out the space-time window decomposition processing of a satellite constellation orbit parameter based on orbit phase synchronization, and decomposing a long-period scheduling problem into a plurality of short-period sub-problems; performing state transition conflict detection processing on the double-feed antenna system according to the space-time window decomposition result, and determining the working state of the feed antenna; parallel neighborhood search processing based on reinforcement learning is carried out according to the feed antenna resource configuration scheme, and a communication link scheduling strategy is generated through multi-thread collaborative optimization; and performing dynamic fusion processing based on state prediction according to the parallel optimization scheduling scheme, and adjusting a satellite-ground station communication link establishment time sequence through learning type template matching. Through space-time decomposition, intelligent conflict detection, reinforcement learning optimization and dynamic fusion, the problems of complexity and real-time performance of large-scale satellite networking communication scheduling are solved, and the scheduling efficiency and the communication quality are remarkably improved.

The invention discloses a low-power-consumption Bluetooth device connection matching detection system and method, and relates to the technical field of Bluetooth communication, and the method comprises the steps: sending a broadcast signal to a surrounding environment, enabling a scanning function by a scanning device, scanning the broadcast signal, and recognizing a target device from a scanning result; evaluating the environmental complexity according to the environmental noise data and the broadcast signal strength, and dynamically adjusting a search strategy according to the environmental complexity to obtain a connectable device list; calculating a dynamic matching score of the connectable device according to the real-time state information, and performing identity verification on the connectable device according to the dynamic matching score to obtain a target connection device; the stability of connection matching is judged by periodically detecting signal strength and communication quality information, unstable connection is interrupted according to a detection result, and reconnection is tried. According to the invention, the problem of unstable pairing possibly occurring in the connection process of the BLE equipment can be effectively solved, and the reliability of the equipment and the user experience are improved.

The invention discloses a communication method for broadband communication and satellite fusion, which comprises the following steps of: classifying data streams, ensuring priority transmission of high-priority data streams by adopting a self-adaptive flow control protocol, carrying out load balancing according to link quality in combination with a satellite and a ground communication link, and when the communication link fluctuates, outputting the data streams. The method can automatically switch to a backup link or adjust a transmission mode, guarantees the communication stability, predicts the satellite communication time delay through deep learning, carries out the time delay compensation, optimizes the communication efficiency, intelligently allocates bandwidth resources according to the user demands and geographic positions, optimizes the bandwidth utilization rate, reduces the data transmission amount through a self-adaptive compression algorithm, and improves the bandwidth utilization rate. Therefore, the problems of non-uniform bandwidth utilization, unstable link, delay fluctuation and insufficient flow control in the prior art are solved, and through intelligent prediction and real-time adjustment, the system can efficiently utilize bandwidth resources, ensure communication stability, reduce delay fluctuation and improve overall communication quality.

The invention relates to the technical field of unmanned aerial vehicle communication, and discloses a dynamic spectrum frequency hopping communication method and device for a target aircraft and a ground station, and the method comprises the steps: collecting state information; evaluating a signal quality indicator based on the power data; based on the total spectral range and the signal quality index, segmenting the total spectral range into N sub-bands to obtain a spectrum allocation result; based on the task priority and the communication quality index, carrying out main target machine election; each target machine sends an orthogonal detection sequence in a corresponding time slot to obtain channel state information; converting the channel state information into a frequency hopping key; generating a frequency hopping sequence based on the frequency hopping key; according to the invention, an adaptive frequency hopping technology based on a channel state is adopted, the channel quality is monitored in real time, and a dynamic frequency hopping sequence is generated, so that an interference frequency band is effectively avoided; through a time division multiplexing channel detection mechanism, signal overlapping is fundamentally avoided, and continuous and stable operation in a complex dynamic environment is ensured.

The invention discloses a resource allocation method for LTE (Long Term Evolution) wireless communication, relates to the technical field of wireless communication, and is used for solving the problem that wireless communication resource allocation is not clear. According to the method, the future position of the user is predicted by acquiring the historical position and speed data of the user and combining with the time step length, the channel quality is predicted through the path loss and interference model, the target cell is identified, data is provided for resource allocation, and the resource occupation state of the target cell is evaluated. The resource reservation proportion is dynamically adjusted in combination with user service requirements and channel quality, the communication quality and service continuity of high-speed users in the switching process are guaranteed, then, a shared resource pool is constructed, and low-interference resource blocks are preferentially allocated to high-priority users through an interference coordination strategy in combination with an interference thermodynamic diagram generated in real time, so that the high-priority users are subjected to resource allocation. The interference influence is reduced, the priority and the resource allocation strategy are dynamically adjusted, user migration is triggered in combination with the load balancing index, and global optimization of resource allocation and improvement of network performance are achieved.

The invention provides a short message issuing processing method and system based on scene self-adaption. The method comprises the steps that a three-dimensional communication characteristic spectrum is constructed through a building information model and infrared thermal imaging data, short message request distribution is analyzed and predicted in combination with a signal attenuation field, cross-operator network quality data is integrated to form a converged communication quality field, and finally short message issuing is intelligently scheduled according to the network state and service requirements. According to the method, accurate short message routing optimization based on real-time communication quality and crowd distribution in a complex building environment is realized. According to the technical scheme provided by the invention, the short message delivery rate and timeliness in a complex building environment can be remarkably improved, and particularly, the communication reliability in a crowded area and a signal blind area is remarkably improved.

The invention relates to the technical field of wireless communication, and particularly discloses a self-adaptive anti-interference communication method and system based on star flash-Bluetooth dual-mode, and the method comprises the steps: monitoring channel interference parameters in real time through a dual-mode radio frequency module on a communication terminal, including the out-of-band radiation power and the pulse interference duty ratio at the switching moment; instantaneous interference intensity features are extracted by using synchronous compression wavelet transform and sparse time-frequency analysis, periodic pulse interference features are identified by combining Hawkes process modeling, and a comprehensive anti-interference feature vector is constructed by fusion; the feature vectors are input into a pre-trained gradient boosting tree model for communication quality evaluation, an optimal communication mode is dynamically selected according to a scoring result, intelligent response to a complex interference environment is achieved, the stability and reliability of a communication system in a high-interference scene are improved, energy efficiency optimization and resource scheduling are considered, and the method is suitable for large-scale popularization and application. The method is suitable for industrial, medical, Internet of Things and other application scenes with strict requirements on communication quality.

The invention discloses an antenna control method and device and electronic equipment, and relates to the field of multimode cooperative communication, and the method comprises the steps: analyzing the characteristics of the environment around an antenna, generating an optimal polarization strategy in combination with a characteristic analysis result and a polarization switching prediction algorithm, transmitting a test signal through an antenna array controller, and recording a channel impulse response, time inversion processing is carried out on the channel impulse response, a time inversion signal and a phase compensation parameter are combined to generate a reverse emission signal, the reverse emission signal is reemitted, an optimal polarization strategy is combined to adjust the polarization state of each array element, a beam forming parameter set is generated, and the phase and amplitude of antenna equipment are adjusted through a controller. And monitoring signal strength and transmission efficiency, and generating a signal transmission performance data report. The antenna polarization switching method and device solve the technical problems that an antenna polarization switching algorithm cannot adapt to a dynamic electromagnetic environment and a multipath effect, the stability is insufficient, the signal strength is unstable, and the communication quality is affected in the related technology.

The invention relates to the technical field of communication base station energy-saving control, and discloses an energy-saving optimization control method and system for a communication base station. The method comprises the following steps: collecting and preprocessing traffic energy consumption data of a communication base station to obtain standardized characteristics; inputting the features into a double-flow space-time convolutional network, and carrying out parallel calculation through time and space branches to predict a load; performing hierarchical quantitative pruning on the network, and distributing bit width according to the influence degree to obtain a compression structure; and processing the real-time data based on the compression network, and generating an energy-saving control strategy for radio frequency resource configuration and power regulation. Based on accurate load prediction and differentiated resource scheduling strategies, the optimal balance between energy saving and service quality is realized, the problems of passive response and coarse-grained control in a traditional method are effectively solved, and the energy saving effect is maximized on the premise of ensuring communication quality.

The invention relates to the technical field of remote control, in particular to an electrical automation remote control system which comprises an energy receiving and converting module, a dynamic network management module, a node fault diagnosis module, an energy distribution control module and a remote control execution module. According to the method, communication quality is optimized through signal fluctuation analysis, data packet routing and bandwidth allocation are dynamically adjusted, accurate transmission of remote control instructions is ensured, network structure is optimized through real-time network flow analysis, congestion is reduced, transmission efficiency is improved, fault diagnosis is carried out according to a load adjustment result, accurate identification, automatic isolation and routing reconstruction are achieved, and the method is suitable for large-scale popularization and application. And energy management dynamically adjusts energy output based on node supply and demand, ensures stable operation of key nodes, optimizes energy utilization, combines remote control execution with real-time monitoring, ensures accurate instruction issuing, and improves reliability and safety of remote control.

A communication system that achieves reduction in delay time or the like at the time of mobility includes: a base station that is applied to a fifth-generation wireless access system; and a communication terminal that connects to the base station. When a cell that is a connection destination of a communication terminal in communication via any one of a plurality of cells constituted by the base station is changed, the base station transmits, to the communication terminal, setting information for measuring communication quality in a physical layer of the cell, the communication terminal measures the communication quality in another cell different from a cell being connected based on the setting information received from the base station, and transmits a measurement result to the base station, and the base station determines a cell to be a new connection destination of the communication terminal based on the measurement result.

The invention relates to the technical field of intelligent power grid communication, and discloses an HPLC communication-oriented power topology adaptive reconstruction and energy consumption optimization control method, which comprises the following steps of: acquiring HPLC communication characteristic data of power network nodes in real time; constructing a dynamic spatio-temporal topological graph based on the communication feature data and predicting a future topological state; generating a communication power distribution and routing path joint optimization strategy by using a multi-target reinforcement learning algorithm in combination with the predicted future topology state and the real-time energy consumption parameter; verifying the electromagnetic compatibility and protocol compliance of the optimization strategy through a digital twin model, and generating a control instruction which can be executed by equipment; and the transmitting power and the communication route of the HPLC node are dynamically adjusted through the control instruction. According to the method, the communication quality stability and the energy efficiency level are improved, topology dynamic perception, multi-target collaborative optimization and strategy security verification are realized, and efficient and reliable operation of HPLC communication in a complex power grid environment is guaranteed.

The invention discloses a multi-path routing dynamic scheduling method and device for a satellite communication system and a medium, and relates to the field of satellite data transmission, and the method comprises the steps: expanding a path between a source node and a target node in the satellite communication system into a plurality of paths, and obtaining communication quality index parameters of all satellites in the plurality of paths; for each of the plurality of paths, constructing a routing cost function through the communication quality index parameter; updating the graph data of the satellite communication system in real time according to the real-time path change during the operation of the satellite communication system; for each piece of graph data updated in real time, based on the communication quality index parameters, calculating the total routing cost of a plurality of paths between a source node and a target node in the graph data through a routing cost function, selecting a first preset number of paths from the total routing cost of the plurality of paths according to a sequence from low to high, and determining the first preset number of paths as an optimal path combination at the current moment. The method can reduce the transmission energy consumption of the satellite network.

A method (700) by a user equipment, UE, (112) for communicating in a restricted zone includes determining (702) a location of the UE in relation to the restricted zone. Based on the location of the UE in relation to the restricted zone, the UE takes (704) at least one action to maintain a level of communication quality of the UE.

The invention relates to the technical field of mine production operation management, in particular to a mine production operation intelligent decision-making system based on multi-source heterogeneous data fusion. A data preprocessing module; a data fusion modeling module; an intelligent decision module; and a decision execution feedback module. In the scheme, an edge computing terminal is deployed through a data acquisition unit, a multimode communication technology is integrated, data of an underground sensor, electromechanical equipment and the like are accessed in real time, and the data transmission reliability is ensured through a communication quality evaluation formula; the business system interconnection unit maps heterogeneous fields of systems such as ERP, WMS and the like into global unified business keys by means of semantic middleware, and semantic ambiguity is eliminated. The data preprocessing module integrates the dispersed data into a standardized data set through intelligent cleaning, format conversion and three-dimensional association, and provides data support for decision making.

The invention relates to the technical field of communication control, and discloses a communication control method and system based on a dual-mode communication module, the system integrates two communication modes of 4G and 5G, and flexible and reliable real-time data transmission is realized. The core is that a communication quality evaluation module is introduced, and 4G and 5G communication quality is scored by analyzing data such as signal strength, data transmission rate and packet loss rate. The system constructs a fault prediction module, and predicts the type and probability of future communication faults by using historical communication quality scores and equipment operation state data. And the maintenance early warning module carries out early warning on the maintenance demand of the communication equipment in combination with the evaluation and prediction results. And the maintenance scheme generation module automatically generates a maintenance scheme according to the early warning result, triggers an emergency notification when the maintenance demand is high and provides detailed steps. According to the invention, the stability and reliability of communication service are improved, and the maintenance process of communication equipment is optimized.

The invention discloses a carrier communication system power frequency band adjusting method and device, a carrier communication system comprises a plurality of preset frequency bands, and the adjusting method comprises the following steps: respectively obtaining channel noise data of the plurality of preset frequency bands in a current detection period; based on a frequency band quality relevance model, the communication quality evaluation value of the corresponding preset frequency band is calculated in combination with the channel noise data, and the frequency band quality relevance model is trained based on the noise historical data of the preset frequency band and the corresponding link quality historical data; and selecting a corresponding preset frequency band as a selected frequency band of the next detection period according to the communication quality evaluation value, and synchronously optimizing the power configuration of the carrier communication system according to the selected frequency band. Through a frequency band quality evaluation model fusing multi-dimensional noise feature analysis and historical data driving, the defects of traditional fixed frequency band allocation and linear power adjustment are effectively overcome, and prospective accurate prediction and adjustment of frequency band communication quality are realized based on noise history and link quality relevance modeling.

The invention relates to an unmanned aerial vehicle group-oriented sensing communication integrated network multi-resource joint scheduling method, and belongs to the technical field of wireless communication, and the method comprises the steps: building a system model of multiple UAV-ISAC tasks, and defining a joint optimization problem; extracting spatio-temporal features from the dynamic heterogeneous graph in which the unmanned aerial vehicle, the user and the sensing target are abstracted as nodes and the relationship is abstracted as edges; taking the features as input, and adopting a layered multi-agent reinforcement learning architecture to solve the joint optimization problem on line; in the architecture, resource allocation and trajectory planning actions are generated through cooperation of a central Actor and all unmanned aerial vehicle Actors, and system performance is evaluated by a central Critic; constructing a multi-target weighted reward function, stabilizing a training process by combining experience playback and a Mini-batch sampling mechanism, and updating network parameters in parallel; and obtaining an optimal resource allocation and unmanned aerial vehicle trajectory strategy through training. The sensing performance is improved, the communication quality is guaranteed, and the defects in the aspect of dynamic resource scheduling in the prior art are overcome.

The invention discloses an intelligent driving vehicle dynamic network redundancy configuration and switching method in a complex information source scene, and relates to the technical field of intelligent traffic and communication. According to the method, communication quality data of a plurality of communication links at different positions of the unmanned taxi in the driving process are detected, the data are broadcasted to other unmanned taxies around through a vehicle-mounted communication system, and communication quality data broadcasted by other unmanned taxies are received; the method does not depend on a centralized server or a cloud platform, and a signal map is fused and generated in a decentralized manner only based on self-detected and received data; dynamically configuring a network redundancy strategy according to the signal map and a preset task priority; after the strategy is executed, scores are recorded and broadcasted, scores of other vehicles are received, and the strategy is optimized and adjusted in advance. According to the method, the problem of unstable communication in a complex information source scene is solved, and the communication reliability and efficiency of the intelligent driving vehicle are improved.

The invention provides a communication module protocol control method and system, and relates to the technical field of Internet of Things communication, and the method comprises the steps: obtaining a current communication protocol type used for communication with a communication target and a device type of the communication target; determining a current communication task type and a communication quality requirement of the communication task type according to the data content of communication with the communication target and the equipment type; acquiring a network quality state when communicating with the communication target, and judging whether the current network quality state can meet the communication quality requirement of the communication task type or not; if not, determining a target communication protocol type with the highest matching degree with the communication quality requirement from communication protocol types supported by the communication target; and adjusting the communication protocol type for communicating with the communication target to the target communication protocol type. According to the invention, through network state monitoring, evaluation standard definition and protocol management, the optimal communication protocol can be effectively and dynamically selected according to the network state.

The invention relates to the technical field of Bluetooth control, and discloses a signal receiving sensitivity optimization method and system for a low-power-consumption dual-mode Bluetooth chip, and the method comprises the steps: monitoring a signal receiving environment of the Bluetooth chip, obtaining the characteristics of the signal environment, switching the Bluetooth chip to a precise mode or a low-consumption mode according to the characteristics of the signal environment, and achieving the optimization of the signal receiving sensitivity of the low-power-consumption dual-mode Bluetooth chip. In a precise mode or a low consumption mode, according to a preset signal parameter adjustment scheme, radio frequency communication and demodulator parameters are optimized in real time to ensure that the signal receiving sensitivity meets the standard, the signal effect of the Bluetooth chip is synchronously monitored, the signal parameter scheme is adjusted and optimized according to the monitoring result, and the radio frequency communication and demodulator parameters are continuously adjusted. By intelligently switching the working modes and dynamically adjusting the parameters, the receiving sensitivity of the Bluetooth chip in different signal environments is optimized, the Bluetooth device is ensured to keep stable communication in various environments through real-time synchronous monitoring and adjustment, and the problem that the Bluetooth chip is difficult to balance energy consumption and communication quality in the prior art is solved.

The invention provides a dynamic polarization-beam regulation and control anti-interference method and system based on an intelligent metasurface, and relates to the technical field of wireless communication, and the system comprises an intelligent metasurface array, a controller, a channel sensing module and a joint optimization module. By sensing the channel state and interference characteristics in the wireless environment in real time and dynamically adjusting the polarization state and phase configuration of the intelligent metasurface unit, collaborative optimization of a polarization domain and a space domain is achieved, an enhanced propagation path for expected users is formed, meanwhile, an interference source is restrained, and the anti-interference capacity and communication quality of the system are improved. According to the method, a hybrid optimization strategy combining deep reinforcement learning with model driving is adopted, the calculation complexity is reduced, rapid response to a dynamic interference environment is realized, and meanwhile, the spectrum efficiency and the energy efficiency are improved through polarization-beam joint optimization. Through collaborative optimization of a polarization domain and a spatial domain, adaptive response to a complex interference environment is realized, and meanwhile, energy consumption and implementation cost are reduced.