357 results about "Channel parameter" patented technology

The invention provides a signal optimization transmission system and method based on HPLC and HRF dual-mode communication, a signal acquisition and processing module of the signal optimization transmission system based on HPLC and HRF dual-mode communication is used for acquiring signals of two communication modes of HPLC and HRF in real time, preprocessing the signals and extracting key signal parameters; the dual-mode switching module is used for dynamically switching an HPLC mode and an HRF mode based on channel quality; the access module is used for constructing a longitudinal backbone network and a transverse Mesh network, forming a hybrid topology, optimizing a routing path and coordinating resource allocation and conflict avoidance of HPLC and HRF; the intelligent decision module is used for predicting future interference intensity according to the historical interference data and adjusting channel parameters; the central coordinator module is used for network initialization and resource allocation; according to the system and the method, the HPLC mode and the HRF mode are automatically switched according to the channel quality, the longitudinal HPLC backbone network is combined with the transverse HRF Mesh network to form a four-dimensional communication network, and the robustness in a complex scene is remarkably improved.

The invention discloses a 16-channel high-precision synchronous data acquisition system based on a multi-parameter model, which belongs to the technical field of data acquisition and comprises a multi-parameter model driving module, a self-adaptive channel scheduling module, a closed-loop calibration compensation module and a collaborative synchronous optimization module. The multi-parameter model driving module establishes a multi-dimensional optimization model fusing the sampling rate, the channel load and the error trend to output optimization parameters; the adaptive channel scheduling module performs real-time quality evaluation and dynamic resource allocation according to the optimization parameters to generate a scheduling instruction; the closed-loop calibration compensation module monitors a synchronization error in real time and calculates a compensation parameter; the collaborative synchronous optimization module realizes inter-channel parameter sharing and collaborative control to generate a synchronous control signal, and feeds back an optimization result to the multi-parameter model driving module to form a closed loop, and through deep coupling and closed loop feedback of the four modules, high-precision synchronization of multi-channel data acquisition is realized, and the synchronization precision reaches + / -35ns.

Certain aspects of the present disclosure provide techniques for obtaining one or more reference signals specific to a communication channel; inputting at least one characteristic associated with the one or more reference signals into a machine learning model that is configured to predict one or more channel parameters associated with multipath propagation characteristics of the communication channel; outputting, from the machine learning model, one or more predicted channel parameters specific to the multipath propagation characteristics of the communication channel; and performing channel estimation to generate a characteristic of the communication channel based on the one or more predicted channel parameters.

The invention relates to a satellite communication encryption method resistant to channel interference. According to the method, satellite orbit parameters are dynamically mapped into a chaos spread spectrum sequence, an anti-interference pseudo-random sequence and a dynamically decoupled encryption key are synchronously generated based on the chaos sequence, a spread spectrum code and the key are completely isolated mathematically, chaos parameters and a channel state are hidden and embedded into a physical layer signal, and therefore the anti-interference pseudo-random sequence and the dynamically decoupled encryption key are obtained. According to the method, deep cooperation of anti-interference and encryption is achieved, the concealment and the anti-interception capability of signals in a complex channel are enhanced through chaos spread spectrum, the synchronization precision of a decryption end is guaranteed through real-time binding of a dynamic key and channel parameters, and finally synchronous improvement of the anti-interference capability and the information security is achieved in a satellite communication high-dynamic environment.

The invention provides a visual underwater sensor network simulation method, and relates to the technical field of underwater sensor networks, and the method comprises the steps: configuring network simulation parameters which comprise topological structure parameters, channel parameters and simulation parameters; inputting the channel parameters into an underwater acoustic calculation tool to generate an underwater acoustic multipath channel for simulation; the bit error rate BER of the multi-carrier MFSK underwater acoustic communication algorithm under the underwater acoustic multipath channel condition is calculated, and the bit error rate BER is input into the OTcl script; performing network simulation on the configured OTcl script by using an underwater network simulator; and displaying a network simulation result through a visual interface. The underwater sensor network simulation result can be displayed through the visual interface, the defect that current NS2-based underwater sensor network simulation software does not have a visual interface is overcome, a good man-machine interaction interface can be provided for a user, the development efficiency is improved, and the user is helped to better evaluate the performance of the underwater sensor network.

The invention provides a point-to-multipoint communication method, device and system, equipment and a storage medium, and belongs to the technical field of optical communication. The method is applied to local side equipment in a point-to-multipoint communication system, and comprises the following steps: acquiring channel parameters of terminal equipment with downlink data currently and the data volume of the downlink data, and generating and sending at least one downlink frame based on the channel parameters of the terminal equipment and the data volume of the downlink data, the downlink frame comprises a plurality of subframes, in each downlink frame, the ith subframe bears management information of the (i + m) th subframe and downlink data of at least one terminal device, and for each subframe, the management information of the subframe comprises an identifier of the terminal device to which the downlink data borne by the subframe belongs and information of an occupied time-frequency resource. By adopting the method disclosed by the invention, point-to-multipoint flexible communication can be realized.

The invention relates to a DataX distributed data synchronization method and a DataX distributed data synchronization device based on Kubernetes. The method comprises the steps of splitting a data synchronization task into a plurality of subtasks according to a data range, starting a plurality of Pods for parallel execution through Kubernetes Job, and starting a plurality of Task tasks in each Pod through channel parameters of DataX for concurrent processing of subtask data; splitting or merging of the fragments is dynamically triggered based on business indexes such as a line processing rate and system indexes such as a CPU (Central Processing Unit) and a memory utilization rate, fragment state information is recorded through ConfigMap, and the number of the fragments and resource allocation are dynamically adjusted; and combining the DataX execution result indexes of each Pod to ensure the data consistency. Through a two-stage fragmentation parallelization architecture, multi-level parallel processing is realized, the resource utilization rate is maximized, and the data synchronization efficiency is remarkably improved; the dynamic elastic capacity expansion and contraction mechanism can dynamically adjust resource allocation according to service load, optimize resource utilization and avoid waste or performance bottleneck; automatic fragmentation management does not need manual intervention, and the operation efficiency and reliability of the system are improved.

Disclosed are a channel estimation method, apparatus and device, and a storage medium, which relate to the technical field of communications, comprising: acquiring a channel parameter and a channel coefficient matrix of a pilot symbol based on received signal data, the channel parameter being a channel model parameter of non-ground network communication; determining a first wiener filter tap coefficient from a preset typical wiener filter tap coefficient set according to the position combination of the channel parameter and the pilot symbol; and determining a time domain channel estimation result of the received signal data according to the first wiener filter tap coefficient and a channel coefficient matrix of a pilot symbol. According to the technical scheme, the channel estimation process in a non-ground network communication scene is simplified, and the real-time performance of time domain channel estimation is improved on the premise of ensuring the accuracy of a channel estimation result.

The invention belongs to the field of communication transmission, relates to a data analysis technology, is used for solving the problems that time delay exists in channel state feedback and static weight cannot adapt to burst interference in the prior art, and particularly relates to an information communication method based on communication security protection, which comprises a link switching analysis sub-method and a feedback analysis sub-method. The link switching analysis sub-method comprises the following steps: acquiring channel parameters of a communication link and performing entropy conversion; carrying out weight distribution according to the entropy value of the channel parameter to obtain a weight coefficient of the sampling parameter in the acquisition period; analyzing the priority of the communication link; according to the method, the essential characteristics of the channel parameters can be dynamically captured, the timeliness and accuracy of the link switching decision are improved, the abnormal switching operation is effectively identified by a closed-loop feedback mechanism, the communication resource waste caused by invalid switching is reduced, and the method can maintain stable information transmission quality in a complex electromagnetic interference environment, so that the user experience is improved. And the communication interruption risk caused by channel abrupt change is avoided.

Provided are a terminal positioning and sensing method, an electronic device and a storage medium. The method includes: performing a channel estimation according to a received echo signal, and acquiring a channel parameter of the channel estimation; determining a line-of-sight path measurement parameter and a non-line-of-sight path measurement parameter based on the channel parameter; determining an association relationship matrix of the line-of-sight path measurement parameter and the non-line-of-sight path measurement parameter according to a preset echo geometric model; and determining positioning information and environment sensing information based on the association relationship matrix. In the present application, the determination of location information of a user equipment and the sensing of environmental information are simultaneously achieved through line-of-sight path measurement information and non-line-of-sight path measurement information, thereby increasing the positioning accuracy, enhancing the richness of communication information, and improving the usage experience of a user.

The invention provides a hidden backscatter communication method based on multicarrier randomized continuous waves. The method comprises the following steps: acquiring multicarrier randomized continuous wave signal characteristic parameters, backscatter signal characteristic parameters and channel parameters between a transceiver and a listener and between the transceiver and each user; according to the characteristic parameters of the multicarrier randomized continuous wave signal and channel parameters between the transceiver and the listener and between the transceiver and each user, determining relative entropy between probability density functions of the listener receiving signal when the user generates a backscattering signal and when the user does not generate the backscattering signal; determining the total reachable rate between the transceiver and all users according to the multicarrier randomized continuous wave signal characteristic parameters, the backscattering signal characteristic parameters and the channel parameters; and maximizing the total reachable rate through a target optimization algorithm by taking the condition that the relative entropy meets the concealment condition as the constraint, and obtaining the optimized statistical characteristic parameters of the multicarrier randomized continuous waves. According to the invention, hidden backscatter communication can be realized.

A method for wireless communication at a first network entity and related apparatus are provided. In the method, the first network entity communicates, with a second network entity, information indicative of a guard interval length. The information indicative of the guard interval length is based on transmission information. The first network entity further communicates, with the second network entity, a transmission including one or more symbols. Each symbol of the one or more symbols includes a particular guard interval based on the information indicative of the guard interval length. The method enables the GI length to be flexibly configured depending on various waveforms or channel parameters and characteristics of the transmission. The method enables transmission resources to be fully utilized according to actual operating conditions. Thus, it improves the efficiency and flexibility of wireless communication.

The invention discloses a multipath channel parameter reconstruction and beam coverage prediction method, and relates to the technical field of wireless communication. Aiming at the problems of low data utilization efficiency, limited environment modeling precision, strong coupling of measured data and antenna beam configuration and the like in the prior art, the method comprises the steps of configuring antenna beams and orientation parameters, collecting reference signal receiving strength, performing deterministic channel modeling simulation, establishing a mapping model, performing sparse recovery, constructing a channel propagation model, evaluating a channel map and the like. In combination with a coherence perception weighting network (CARE-Net) algorithm and ray tracing (RT) physical prior guidance, accurate reconstruction from a low-dimensional reference signal receiving strength (RSRP) measurement value to a high-dimensional multipath parameter is realized. The method has the advantages that the reconstructed multi-path parameters are decoupled from the antenna configuration, the method has the cross-beam / cross-configuration generalization prediction capability, the channel coverage performance under different antenna configurations can be accurately predicted, a reliable basis is provided for wireless network optimization, and the method is low in cost, high in precision and strong in generalization.

The invention discloses an eye pattern generation method based on channel simulation, a storage medium and electronic equipment, and the method comprises the steps: carrying out the channel simulation according to a target channel parameter, a signal source parameter and an initial code pattern sequence, and generating jitter-free initial eye pattern data; obtaining a deterministic jitter parameter and a random jitter parameter, and generating a deterministic jitter time sequence based on the obtained deterministic jitter parameter and the initial code pattern sequence; generating a random jitter time sequence based on the obtained random jitter parameter; synthesizing the deterministic jitter time sequence and the random jitter time sequence to generate a total jitter time sequence offset sequence; and modulating time sequence information in the initial eye pattern data by using the total jitter time sequence offset sequence to generate a target eye pattern. Simulation of deterministic jitter and random jitter is added in the channel simulation process, and the consistency of the simulation result and the signal characteristic of a real communication scene is greatly improved.

The invention relates to the technical field of communication, in particular to a time sequence adaptive communication experiment automatic evaluation and verification method and system, and the method comprises the steps: S1, dynamically generating multi-scene channel parameters, including high-speed movement, dense multipath and burst interference scenes, and driving channel simulation through a predefined time-frequency domain parameter model; s2, monitoring key performance parameters of the communication system in real time, including bit error rate, synchronization error, delay jitter and spectral efficiency, and performing data acquisition at a sampling frequency not lower than 1kHz; s3, testing the adaptive algorithm through a dual-mode verification engine; s4, automatically calculating a synchronization retention rate, a spectrum efficiency improvement rate and a dynamic adjustment effectiveness index; and S5, generating a three-dimensional visualization report including a time domain performance curved surface, frequency domain feature distribution and an energy consumption analysis result. The invention discloses an automatic evaluation and verification method and system for a time sequence adaptive communication experiment. The test efficiency is remarkably improved, and the one-sidedness problem of traditional single-index evaluation is solved.

The application discloses a kind of method for determining channel parameter, device, equipment and storage medium, the method includes: based on data sending end, the target transmission power of monitoring bandwidth is determined;The data sending end detects the state information of data receiving end, then the data sending end determines the bandwidth to be selected matched with the data receiving end, and obtains the target SNR of each the bandwidth to be selected;The data sending end obtains the reference MCS set of each the bandwidth to be selected based on the target SNR;The data sending end obtains the target throughput of each the bandwidth to be selected based on the reference MCS set;The data sending end determines the working throughput based on the target throughput of each the bandwidth to be selected, and determines working bandwidth and working rate based on the working throughput.The technical scheme of the application can determine the working bandwidth and corresponding working rate that obtain the maximum throughput.

The invention discloses an ultraviolet light communication system channel parameter self-adaptive adjustment method and device, and the method comprises the steps: collecting and preprocessing original multi-dimensional data to obtain a channel state vector, the original multi-dimensional data comprising original environment data, original system data and original link data; performing channel state evaluation according to the channel state vector to obtain a channel comprehensive state and a channel state trend; generating a parameter self-adaptive adjustment strategy according to the channel comprehensive state and the channel state trend, converting the parameter self-adaptive adjustment strategy into a standardized execution instruction, and adjusting corresponding parameters of the ultraviolet light communication system; and feedback data acquisition is carried out, and a strategy validity determination result and key performance data after strategy execution are obtained. According to the invention, adaptive parameter adjustment of the ultraviolet light communication system under a complex condition is realized, and short-distance and anti-interference experiments, performance tests and engineering application of ultraviolet light communication are realized.

The invention discloses a millimeter wave communication transmission signal interference suppression method, and relates to the technical field of millimeter wave communication signal interference suppression, and the method comprises the steps: deploying a multi-antenna array and an ultra wide band detection module, collecting interference and useful signal features, and generating a data set; evaluating an interference level in combination with channel parameters, and establishing a mapping relation between interference and a channel; interference types are accurately classified through a deep learning model; differential suppression schemes are adopted for different interferences; dynamically adjusting suppression parameters; monitoring a suppression effect and feeding back optimization; and the adaptive capacity of complex scenes is improved based on historical data self-learning. According to the invention, accurate identification and differential suppression of interference are realized, and the anti-interference capability and the transmission stability are significantly improved; the interference and channel change are dynamically adapted, the self-learning ability enhances the adaptation to novel interference, and an efficient interference suppression solution is provided for millimeter wave communication.

The present invention discloses a method for modeling a large-scale MIMO wireless channel in the short-wave band. The specific steps are as follows: 1) Calculate the distance ranges of three short-wave communication propagation modes, and determine the short-wave communication propagation mode in the current environment; 2) Conduct frequency prediction to obtain the current optimal operating frequency; 3) Conduct large-scale channel parameter modeling; 4) Conduct small-scale channel parameter modeling; 5) Conduct space-time-frequency non-stationarity modeling; 6) Analyze the channel statistical characteristics and verify the model. Due to the limited short-wave communication spectrum resources and the severe ionospheric channel conditions, the system rate is relatively low. Most of the existing short-wave channel models are point-to-point small-scale MIMO, and the system rate gain is not obvious. The present invention establishes a method for modeling a large-scale MIMO wireless channel in the short-wave band, which can support communication scenarios with large-scale MIMO antenna configurations and is compatible with three short-wave communication propagation modes. The wireless channel model based on the present invention has guiding significance for the construction and performance analysis of short-wave large-scale MIMO wireless communication systems.

The embodiment of the invention provides a communication method, a related device, a storage medium and a program product, and is applied to the technical field of communication. The communication method comprises the following steps that: a first system base station receives a second system frequency band channel parameter from a second system base station, and calculates a cross-frequency band channel measurement auxiliary parameter by using the second system frequency band channel parameter; and sending the cross-band channel measurement auxiliary parameter to the user equipment, receiving an uplink pilot signal sent by the user equipment referring to the cross-band channel measurement auxiliary parameter, and performing channel estimation by using the uplink pilot signal and the cross-band channel measurement auxiliary parameter to obtain a first system frequency band channel parameter. According to the scheme provided by the embodiment of the invention, the cross-band channel measurement auxiliary parameter is obtained by using the second system frequency band channel parameter based on the channel correlation between the frequency bands used by different systems, so that the first system base station is assisted to reduce the related overhead of channel measurement, and the capacity and experience of the first system system are improved.

The invention discloses an equipment health management system and method based on a multi-channel parameter diagram. A parameter acquisition unit acquires health parameters of equipment; the parameter diagram construction unit is used for converting the collected equipment health parameters into equipment parameter diagram data and constructing an equipment parameter diagram; the health condition evaluation unit obtains an equipment health level according to the equipment parameter diagram; the fault level evaluation unit establishes a unified fault level, and obtains an equipment fault level according to the equipment health level; and the maintenance management unit performs attribution analysis according to the equipment fault level to obtain an equipment maintenance scheme. According to the method, firstly, through a unified data architecture and a cross-industry fault system, rapid access of multiple types of equipment is supported, and evaluation management is carried out; and secondly, maintenance suggestions are generated driven by a large language model, automatic closed loop from fault detection to a maintenance scheme is realized, and scientific basis and intelligent suggestions are provided for equipment maintenance.

The invention relates to a mixed channel industrial internet of things scheduling method based on information age and throughput, and belongs to the technical field of industrial wireless networks. According to the method, for a multi-node industrial Internet of Things system in which a fast unreliable channel and a slow reliable channel coexist, the overdue probability that the information age of the system exceeds a threshold value is minimized under the condition that the limited bandwidth constraint and the minimum throughput demand of all nodes are met. An original optimization problem is decoupled into a node link scheduling sub-problem and a scheduling node channel selection sub-problem, a channel parameter driven region division mechanism, random network distillation and deep reinforcement learning are adopted to cooperatively solve the two types of sub-problems, and a multi-node scheduling scheme formed by two sub-strategies is formed. According to the method, joint optimization of information age and throughput of multiple sensors under a mixed channel is considered, strict freshness of industrial wireless network data delivery is guaranteed, and differentiated throughput requirements of all nodes are ensured.

The invention relates to the technical field of communication, and discloses a service transmission method based on dual-mode communication and communication equipment, and the method comprises the steps: inputting a first historical channel parameter of each selectable channel into a channel prediction model, and obtaining a prediction parameter value of the channel parameter of each selectable channel at a target prediction moment; wherein the selectable channels comprise an HPLC channel and an HRF channel; judging whether the predicted parameter value of the channel parameter meets a preset threshold value or not, and determining a target channel in the plurality of selectable channels; and judging whether the current channel is consistent with the target channel, if not, redistributing the service data of the local communication equipment to the target channel, and switching the current channel to the target channel after a preset time length so as to transmit the service data, the end time point of the preset time length being earlier than the target prediction moment. According to the invention, the problems of communication delay and service data loss caused by untimely current channel switching can be solved.

The invention discloses a channel estimation method of an active RIS-assisted millimeter wave MIMO system, which researches the channel estimation problem of the active RIS-assisted millimeter wave MIMO system in a multipath environment, realizes decoupling of a departure angle at UE and cascade channel parameters by designing a specific UE pilot frequency sequence and RIS phase configuration, and improves the channel estimation accuracy. Making it possible to estimate an angle of arrival at the BS, an angle of departure at the UE, and cascade channel parameters, respectively; in order to solve the challenge of estimating the cascade channel parameters, a low-complexity algorithm for decoupling the two-dimensional cascade channel parameters is developed, and the estimation process is converted into multiple times of one-dimensional search by utilizing a greedy algorithm principle, so that the calculation complexity is greatly reduced.

The invention discloses a low-orbit satellite joint frequency offset estimation and channel equalization method in a high-speed moving scene, which comprises the following steps of: constructing a dynamic coupling state space model to realize joint estimation of frequency offset and channel parameters; associating a frequency offset change rate with the dynamic change of multipath time delay through a state transition equation; the association is based on relative motion parameters and radio wave propagation characteristics of the satellite and the mobile terminal; according to the method, state estimation is carried out by adopting a filtering algorithm, channel multipath sparsity constraint is introduced into the filtering algorithm, and satellite orbit parameters and navigation data of a mobile terminal are fused to serve as priori information, so that joint estimation of frequency offset and channel parameters is realized through a dynamic coupling state space model; the problem of parameter error accumulation in traditional separated processing is solved, and the estimation precision is improved; a pilot frequency-data dual-drive mechanism is combined with time-frequency orthogonal pilot frequency and data feedback, and the estimation real-time performance and the dynamic adjustment capability of the equalizer are both considered.

The invention relates to a time-varying channel modeling method oriented to a low-orbit satellite scene, and belongs to the technical field of low-orbit satellite communication. In order to solve the problem that low-orbit satellite channel modeling accurately represents time-varying characteristics, a propagation model is provided, and a channel is fitted into a process that a signal reaches a receiving end from a satellite terminal through multiple times of cluster bounce; a parameter drift mechanism is introduced to simulate the trend of channel parameters changing along with time, natural transition and connection between newly generated parameters and parameters in the previous stage are guaranteed, and the continuity of channel parameter change is improved; the dynamic process of generation, development and extinction of the cluster is considered from the perspective of the channel cluster through the birth and death process of the dynamic change of the cluster, and the dynamic change of the cluster in the channel is reflected more truly. On the basis of the method, the characterization capability of a channel simulation framework on the time-varying characteristic can be remarkably enhanced, and a more reliable and more accurate channel model is provided for a low-orbit satellite scene.

The invention relates to the field of power system operation and control, and discloses a virtual power plant cluster scheduling optical storage cooperative power supply system, which comprises an optical storage coupling physical unit, an edge data acquisition terminal and a cooperative scheduling server. The server is provided with a whole-network data synchronization module, a dual-channel parameter online identification module, an impedance thermal life nonlinear coupling module and an impedance adaptive cooperative scheduling module. The dual-channel parameter online identification module calculates a voltage sensitivity coefficient and equivalent heat conduction thermal resistance based on the synchronous data; the impedance thermal life nonlinear coupling module determines a forced reactive power support quantity according to the sensitivity coefficient, predicts a steady-state progressive temperature by using thermal resistance and quantifies the battery life loss cost; and the impedance adaptive collaborative scheduling module constructs a multi-objective optimization model in combination with the life cost and the capacity constraint, and generates an optimal power instruction. According to the invention, by establishing a cross-domain coupling mechanism of power grid impedance, equipment thermal characteristics and battery life, optimal control of voltage stability and equipment life in a weak power grid environment is realized.

The invention provides a multi-user secure unloading method based on backscatter-assisted edge calculation. The method comprises the following steps: acquiring task unloading parameters of each user, current user groups, randomized continuous wave parameters, channel parameters of a backscatter communication stage, channel parameters of an active transmission stage and channel parameters of an eavesdropper; according to the parameters, the secrecy rate of each user in the backscatter communication stage and the active transmission stage is determined; according to the secrecy rate of the backscatter communication stage and the secrecy rate of the active transmission stage, determining the total task processing delay time, the total energy consumption of the user and the energy collected by the user in the backscatter communication stage; the total energy consumption of the users and the energy collected by the users in the backscatter communication stage are used as constraints, the total task processing delay time is minimized, and randomized continuous wave parameters, task unloading parameters and user grouping are jointly optimized. By implementing the method and the device, the safety performance and the task processing efficiency in a multi-user scene are enhanced.

The invention discloses a channel congestion prediction method and device, a model training method and device, equipment and a medium. The model training method comprises the following steps: constructing a first model and a second model; taking the training set as input to respectively obtain a first prediction set output by the first model and a second prediction set output by the second model; respectively constructing a first loss function and a second loss function based on the first prediction set, the second prediction set and the channel parameters of the to-be-predicted channel; and respectively training the first model and the second model by adopting the first loss function and the second loss function to obtain a convergent first model and a convergent second model. According to the method, the ship congestion degree is determined based on the prediction result of the first model and the prediction result of the second model, the prediction accuracy and stability can be effectively improved, and the method is fully suitable for channel congestion prediction in different scenes.

A communication method and apparatus can reduce pilot overhead of a system, reduce power consumption of a terminal or an RAN node caused by pilot measurement, and facilitate energy saving of the terminal or the RAN node. The method comprises the following steps: a terminal or an RAN node acquires first information, and performs communication according to the first information. Wherein the first information comprises information of at least one geographic area and wireless environment map parameters of the at least one geographic area, and the wireless environment map parameters comprise wireless channel parameters and / or wireless transmission parameters associated with the wireless channel parameters. The first information further comprises at least one of the following items: a working frequency band of the wireless environment map parameter, an indication of whether the wireless environment map parameter is valid or not and a type of the wireless environment map parameter, and the type of the wireless environment map parameter is used for indicating whether the wireless environment map parameter is a true value or not.