3229 results about "Communication quality" patented technology

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 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 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 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 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 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.

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 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.

The invention relates to the technical field of wireless communication, in particular to an intelligent beam forming system and method for millimeter wave communication, and the system comprises a sensing module which is used for collecting multi-direction signal data in a millimeter wave communication environment and extracting environment feature information, and an intelligent decision module which generates a beam direction control strategy based on a deep reinforcement learning algorithm, the sub-region management module divides a communication region into a plurality of sub-regions according to a beam direction control strategy and allocates communication resources to each sub-region, and the beam control module adjusts the beam direction and power allocation of the antenna array according to the beam direction control strategy and the communication resource allocation result of the sub-regions. The feedback evaluation module obtains communication quality data after beam adjustment and generates a performance evaluation result, and the learning optimization module updates network parameters of a deep reinforcement learning algorithm according to the performance evaluation result and improves the environment adaptive capability.

The invention relates to the field of intelligent control, in particular to an intelligent washing control method and system based on multi-modal data, and the method comprises the steps: carrying out the time sequence alignment and feature fusion of a running state parameter set and a communication demand parameter set, and obtaining a multi-modal communication feature matrix; analyzing the coupling relationship between the dehydration stage identifier and the real-time energy consumption value of the washing equipment through a preset conflict prediction model, dynamically calculating the channel preemption priority of each washing equipment according to an instruction execution time window, and generating a clustering type communication resource scheduling sequence in combination with the priority of a control instruction; obtaining the number of instruction conflicts identified by each washing device in the dehydration stage, and constructing a load balancing optimization function with the instantaneous circuit load; and when the output value of the load balancing optimization function is minimized, obtaining a dehydration peak shifting control instruction. The problems of communication quality reduction and control delay during cooperative control of a plurality of washing devices are solved, and the timeliness and safety of control of the washing devices are improved.

The invention discloses a satellite route management and control switching method and system, and belongs to the field of satellite communication, and the satellite route management and control switching method comprises the following steps: monitoring satellite signal quality, collecting satellite data, judging whether nodes need to be switched or not, and if yes, switching the nodes; the triggering condition comprises that the signal quality decline is lower than a threshold value, and the communication equipment is about to break away from the current satellite network coverage range; when nodes need to be switched, an optimal switching target is selected from the candidate nodes, the signal quality of the optimal switching target is judged, and if the signal quality meets the use requirement, compared with the prior art, the method has the beneficial effects that when the coverage edge overlapping area of the multiple satellite networks is too small and the signal quality is judged to be poor, the optimal switching target is selected from the candidate nodes; according to the method, the switching node is limited, the random switching of the node is not allowed in the set time, the set time can be adjusted according to the actual condition, different conditions are matched, and the problems of communication quality degradation, network resource waste, terminal energy consumption increase and the like are reduced.

The invention relates to the technical field of data security management, in particular to a charging user portrait data security management system and method, and the system comprises a channel state sensing module, a key updating control module, a behavior sequence evaluation module, a data exception recognition module and a key scheduling encryption module. In the invention, active perception of communication quality change is realized, agility and protection of data transmission are enhanced, and signal attenuation and equipment number labels are extracted for secret key updating judgment by comparing communication link quality with a user positioning data sequence, capturing a hopping trend of signal intensity and a noise ratio and mapping an abnormal fluctuation segment to an equipment identifier. The pertinence and efficiency of an encryption strategy are improved, a portrait feature deviation behavior is recognized by combining a user charging behavior and a frequency sequence, a specific user number is positioned, the anomaly recognition precision is improved, a path encryption strategy is dynamically generated according to behavior deviation and access path information, and a flexible and efficient data protection system is constructed.

The invention discloses a time delay compensation control method and system for two-way communication of a repeater, particularly relates to the technical field of repeaters, and is used for solving the problem of signal time delay distortion caused by polarization mode dispersion in an optical fiber link. By using polynomial fitting and a frequency domain interpolation algorithm and combining a polarization state time delay spectrum chaos degree index and a phase high-order dynamic variable rate index, the complexity of the model is dynamically adjusted, an accurate nonlinear time delay model is generated, and the defect of nonlinear time delay modeling in a traditional method is overcome; the time delay compensation amount is reversely calculated based on the model and mapped into a phase predistortion parameter, a full-band time delay gradient compensation matrix is formed, and the time delay dispersion effect in an optical fiber link is effectively compensated through phase predistortion; therefore, the flattening correction of the broadband signal time delay is realized, the demodulation performance of the receiving end signal is improved, the communication quality of the repeater in a high-frequency and large-bandwidth scene is ensured, and the high-precision service requirement is met.

The invention discloses a beam control optimization method and system for a millimeter wave network, and relates to the technical field of beam control optimization, and the method comprises the following steps: employing a DTW algorithm dynamic time warping algorithm to match multi-hop path time delay characteristics between a base station and user equipment, and screening an optimal reflection path sequence; obtaining path topology, constructing a secondary unconstrained binary optimization model, and obtaining discrete phase distribution through quantum annealing solution; calculating a quantization error of the discrete phase and performing frequency domain compensation by adopting an interpolation algorithm to obtain a phase compensation vector; loading the compensation vector to programmable metasurface hardware to form a reflection link, and constructing a phase error covariance matrix; correcting the weight parameter increment of the optimization model based on the matrix; and finally, a target function is constructed in combination with the correction weight and the compensation vector, channel capacity optimization is realized, the problems of difficult multi-hop path selection, insufficient phase error compensation and high beam optimization complexity in millimeter wave communication are solved, and the channel capacity and the communication quality are improved.

The invention provides a low-orbit satellite communication terminal network performance dynamic tuning method and system, and relates to the technical field of low-orbit satellite communication. Comprehensive data such as relative movement of a satellite and a terminal and signal transmission loss are acquired; preprocessing the integrated data, inputting the preprocessed integrated data into a time sequence prediction model containing LSTM and Transform, generating a signal quality and intensity index sequence and a link stability level in a future preset time window, and carrying out dynamic optimization based on the generated indexes, including adjusting a terminal modulation mode according to the signal quality; combining the link stability and the signal strength to aggregate the link, and optimizing the switching opportunity and path; allocating resources according to the signal strength and the service characteristics; and optimizing the energy consumption according to the relative motion and the business characteristics. Through accurate prediction and multi-dimensional adjustment and optimization, the communication efficiency and reliability of the low-orbit satellite communication terminal network are improved, energy consumption and delay are reduced, and good communication quality is guaranteed.

The invention discloses a power supply communication method and device based on power line carrier communication, and relates to the technical field of power supply communication. Problems of signal attenuation, insufficient anti-interference capability, insufficient stability of power supply communication, insufficient intelligent path switching capability and the like exist in the prior art. According to the method, high-sampling-rate PSD analysis, STFT and LSTM are adopted to predict noise power time sequence data, and a noise-load rate coupling model is established; secondly, based on a transmission line theory, researching channel time-varying characteristics, calculating signal reflection and multipath effects, and calculating channel coherence time through a sliding window; for signal attenuation, low, medium and high frequency band models are respectively established, path attenuation is calculated, and channel capacity is optimized; and finally, through real-time stability analysis, short-term and long-term SNR stability is calculated, and path selection is optimized in combination with a load rate, so that communication quality is ensured. And through integration of channel modeling, time-varying analysis and path optimization, the reliability and stability of power line carrier communication are improved.

The invention relates to the technical field of capacity evaluation and redistribution, in particular to a 4G baseband processing capacity dynamic expansion method and system, which comprises the following steps: acquiring a scheduling cycle connection request and rate, generating a load identifier in combination with a processing utilization rate trend, cross-positioning a high-density target block matching activation path, and carrying out dynamic expansion on the 4G baseband processing capacity. Extracting a frequency band request frequency and a flow analysis bearing level, processing interference intensity sorting frequency resources, screening frequency points, and splicing to generate a path configuration result. According to the invention, the connection request number and the data transmission rate in the 4G baseband scheduling period are collected to accurately identify the increased load section, the potential load rising pressure can be perceived in advance, the target block is crossly positioned according to the connection request position distribution and the data aggregation degree, and the processing resources are accurately bound to the high-demand path. The precision of spectrum resource scheduling is enhanced through priority ordering, and communication quality guarantee and continuous supply of processing resources in a high-concurrency access scene are supported.

The embodiment of the invention provides a multi-frequency-band signal processing method for a high-performance 5G router, and the method comprises the steps: constructing a dynamic radio frequency front-end gain regulation and control model based on signal intensity monitoring results of different frequency bands; acquiring real-time multi-band signal intensity data, and inputting the real-time multi-band signal intensity data into the dynamic regulation and control model; generating a corresponding gain adjustment parameter instruction according to a result output by the model; and sending the gain adjustment parameter instruction to a radio frequency front end to realize precise gain regulation and control so as to improve the communication quality in a weak signal environment. According to the scheme provided by the embodiment of the invention, the radio frequency front-end gain can be accurately regulated and controlled according to the signal intensity change of different frequency bands, so that the problem that the communication quality is reduced in a weak signal environment is solved.

A first communication device capable of selecting a bandwidth, includes a receiving circuit, for receiving a wireless signal from a second communication device according to a first bandwidth; a measurement circuit, coupled to the receiving circuit, for measuring a communication quality of the wireless signal; and a processing circuit, coupled to the measurement circuit, for selecting a second bandwidth according to the first bandwidth and the communication quality; and a transmission circuit, coupled to the processing circuit, for transmitting information of the second bandwidth to the second communication device, for the second communication device to transmit the wireless signal to the first communication device according to the second bandwidth.