505 results about "Channel parameter" patented technology

An apparatus comprises a memory and a processor communicatively coupled to one another. The memory may be configured to store a data lake and multiple existing spectrum administration service (SAS) configuration commands. The processor may be configured to perform first SAS operations in accordance with the existing SAS configuration commands, collect multiple channel parameters from one or more communication channels configured to provide connectivity between user equipment and a core network, store the channel parameters in the data lake, monitor the channel parameters in the data lake, and generate optimized SAS configuration commands based at least in part upon the channel parameters. Further, the processor is configured to compare the optimized SAS configuration commands to the existing SAS configuration commands and perform second SAS operations in accordance with the optimized SAS configuration commands.

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 6G digital twinning online channel modeling method, which comprises the following steps of: based on information acquired from an environment data source, carrying out communication scene online identification by utilizing a machine learning model; matching channel parameters of a 6G universal channel model according to the identified communication scene, and mapping the channel parameters to the communication scene; reconstructing the digital twin online channel of the static scene in combination with the obtained channel parameters; dynamically sensing the physical environment, acquiring environment change information, and obtaining dynamic sensing data; and in combination with a static-dynamic mixed channel modeling algorithm and dynamic sensing data, dynamically updating the digital twin online channel of the reconstructed static scene to obtain a new real-time twin channel, and constructing a visual platform of the digital twin online channel. According to the method, the channel characteristics of the existing network communication environment can be reflected in real time, real-time sensing, prediction and decision making can be realized, the pilot frequency overhead is reduced, and the system performance is improved.

A method for estimating channel parameters of a reconfigurable intelligent surface based on a spherical wave assumption includes the following steps. In Step 1, a signal transmission model of a RIS-assisted near-field communication is constructed based on the spherical wave assumption; in Step 2, channel measurement data in different RIS transmission modes are obtained; in Step 3, a delay, an angle of arrival, an angle of departure, a Doppler shift and a polarization matrix of multipath in channels are estimated based on a space-alternating generalized expectation maximization algorithm, and angle parameters, distance parameters and coupling polarization matrices of the multipath at a RIS end are estimated based on a maximum likelihood principle; and in Step 4, the estimated parameters are updated and iterated subsequently. The method can estimate all important channel parameters in the RIS-assisted near-field communication scenario more accurately.

The invention discloses a 5.5 G network encryption communication method based on quantum key distribution, and relates to the technical field of quantum encryption communication, a channel characteristic data set, an equipment parameter data set and an environment parameter data set are collected in advance, a channel prediction model is constructed based on the channel characteristic data set and the environment parameter data set, and the channel prediction model is constructed based on the equipment parameter data set and the environment parameter data set. And constructing an equipment optimization model based on the equipment parameter data set and the prediction result of the channel prediction model, constructing an error rate optimization model for outputting a key management strategy based on the prediction result of the channel prediction model and the optimization result of the equipment optimization model, and sending the optimized key management strategy. According to the method, a key management strategy is established, quantum key distribution is executed according to the key management strategy, changes of channel parameters and equipment parameters are monitored in real time through a 5.5 G network, quantum signal generation and transmission strategies are adjusted by using a genetic algorithm based on the changes of the channel parameters and the equipment parameters monitored in real time, and the robustness and flexibility of 5.5 G network communication are enhanced.

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.

The invention discloses an off-network block sparse orthogonal matching pursuit underwater acoustic time delay Doppler domain channel estimation method, and belongs to the technical field of underwater acoustic channel estimation. The method solves the problems that a channel estimation method based on traditional orthogonal matching pursuit cannot estimate frequency shift parameters on non-grid points and is high in calculation complexity. According to the method, channel parameters of integer grid points are obtained based on a BOMP algorithm, and then residual Doppler factors on non-grid points are subjected to further fine estimation based on maximum likelihood criterion fitting. The problem that a traditional OMP channel estimation method in underwater OTFS communication can only estimate channel parameters on grid points is solved, and the estimation precision of channel frequency shift parameters is further improved by estimating frequency shift parameters on non-grid points; and meanwhile, a fractional order dictionary is prevented from being established in a channel parameter process, so that the system complexity is reduced to a certain extent. The method can be applied to underwater sound time delay Doppler domain channel estimation.

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.

Various techniques are provided for a method including triggering, by a user equipment (UE), a resource block (RB) offset allocation determination, detecting, by the UE, at least one of a primary synchronization signal (PSS) and a secondary synchronization signal (SSS) in a received synchronization signal (SS) block (SSB), reading, by the UE, a physical broadcast channel (PBCH) parameter and a signaled offset from a master information block of a PBCH of the SSB, determining, by the UE, an RB offset based on the PBCH parameter and the signaled offset, and determining, by the UE, a control resource set frequency location based on the RB offset.

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 relates to a model compression and environment perception method and device, equipment, a medium and a product. The method comprises the steps of obtaining a task scene of a target environment perception task and a to-be-compressed task processing model; the task processing model comprises at least one network layer, and the network layer comprises at least one channel; based on the task scene, determining an execution performance condition of the target environment sensing task; based on the execution performance condition, performing compression processing on the task processing model through a pruning strategy to obtain a target model; the compression processing is used for zeroing channel parameters corresponding to a to-be-pruned channel in the task processing model, the to-be-pruned channel is determined based on a pruning strategy, and the target model is used for executing the target environment sensing task and meeting execution performance conditions.

Techniques are disclosed to address issues related to the computation of channel state information (CSI) and angular spectrum (AS) to perform beamforming. The CSI and AS, as well as various statistical channel parameters of a wireless channel, may be computed using different techniques, which include the use of domain knowledge enhanced neural networks (DKE-NNs). The CSI and AS may be further utilized to perform beamforming using various techniques. One of these techniques may include the implementation of eigen beamforming, which provides artificially generated power at locations within the AS that are identified with estimated eigenvector beam locations. As a result of the artificially-generated power, the resulting vector decomposition used to provide the beamforming weights results in widened eigenvector beams.

Provided are a target parameter determination method, a communication node and a storage medium. The target parameter determination method includes determining N types of information, where N is a positive integer, and a mapping relationship exists between the N types of information and a first-type set; and determining a target parameter according to the N types of information, where the target parameter includes at least one of a hybrid automatic repeat request (HARQ-ACK) parameter or a channel parameter.

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.

The invention belongs to the technical field of short-wave communication, and relates to a short-wave sky-wave beyond-visual-range link unified channel modeling method for a high-latitude region, which comprises the following steps of: acquiring an actually-measured channel parameter, acquiring a channel parameter of a channel propagation model, comparing the channel parameter with the actually-measured channel parameter, and if the channel parameter does not accord with the actually-measured channel parameter, determining that the channel propagation model is a short-wave sky-wave beyond-visual-range link. If so, driving a link observation system to measure the channel according to the channel parameter, obtaining a full-link channel characteristic parameter on an actual transceiving channel, and correcting the channel parameter of the channel propagation model; otherwise, calculating a link long-period channel parameter according to the channel parameter, and performing fitting modeling on the long-period channel parameter to obtain a channel transmission model; the high-latitude region ionosphere model is adopted, the high-latitude short-wave communication channel parameters of the specified link region are calculated through 3D ray tracing, and the cost for constructing a short-wave communication channel system in the given link direction in the high-latitude region can be reduced.

The invention provides a WiFi channel switching method and related equipment, the WiFi channel switching method is based on a WiFi connection device, the WiFi connection device comprises a transmitter and a receiver, the transmitter is in communication connection with the receiver, and the WiFi channel switching method comprises the following steps: the receiver collects channel parameters of a plurality of target channels, screening is carried out according to the channel parameters of the multiple target channels; the receiver monitors and receives the data throughput when the transmitter transmits the data in real time; the receiver selects a target channel to be switched from the optimal target channel list and sends a channel switching announcement to the transmitter; and the receiver switches the current channel to the target channel to be switched. Compared with the prior art, the method and the device have the advantages that the target channel can be analyzed, the state of the target channel can be quickly analyzed according to the preset condition, external interference and wrong switching to a channel with larger interference are avoided to a great extent, and WiFi communication is quick, stable and better in quality.

The present disclosure provides a hybrid automatic repeat request method and device, a storage medium and an electronic device, and relates to the field of communication technology. The method includes a transmitting end obtaining a value of the number of consecutive transmissions of a data packet through a hybrid automatic repeat request strategy model according to channel parameters; the transmitting end sending a data packet according to the value of the number of consecutive transmissions; the transmitting end judging whether the data packet needs to be resent; and the transmitting end resending the data packet according to the judgment result. The problem that the related technology cannot meet the demand for low latency of time-sensitive services is solved. Thus, the demand for low latency of time-sensitive services is met.

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.

Provided in the present invention are a stepwise-simulation-based ray tracing modeling method and system for a reconfigurable intelligent surface (RIS) channel. The method comprises: constructing a simulation scenario, and setting simulation parameters; verifying a simulation environment layout; constructing an RIS; classifying multipaths; performing stepwise simulation to acquire multipath information; extracting a channel impulse response of the RIS; on the basis of multipath information of a first multipath and multipath information of a second multipath, extracting a channel impulse response of a cascade link of a base station, the RIS and a user to obtain a path loss, a delay power spectral density and an angular power spectral density, so as to analyze channel characteristics of an RIS channel in a delay domain and an angular domain. The present invention supports RIS channel simulation in any frequency band and any scenario, such that deterministic modeling methods for RISs are enriched, RIS channel parameters can be acquired with less manpower, fewer material resources and lower time costs, and channel characteristic analysis of simulation results has guiding significance for the application and deployment of RISs in actual communication systems.

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.

Position determination of a user equipment (UE) is supported using channel measurements obtained for Wireless Access Points (WAPs), wherein the channel measurements are for Line of Sight (LOS) and Non-LOS (NLOS) signals. Based on WAP almanac information and the channel measurements, channel parameters indicative of positions of signal sources relative to a first position of a UE may be determined. Using the first position of the UE and an association of the signal sources with corresponding channel parameters, a second position of the UE may be determined. The position of the UE may be a probability density function. Additionally, position information for signal sources may be determined, such as a probability density function, as well as signal blockage probability and an antenna geometry and the WAP almanac information may be updated accordingly.

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 invention discloses a channel parameter estimation method based on an adaptive ant colony optimization algorithm. The channel parameter estimation method comprises the following steps: step 1, generating a channel impulse response of a snapshot; step 2, initializing channel parameters of all paths, including time delay, angle and complex amplitude of each path; step 3, determining search spaces corresponding to all path channel parameters based on the initialized channel parameters; and step 4, based on the corresponding search space, estimating the channel parameter of each path by using a self-adaptive ant colony optimization algorithm, iteratively calculating the fitness of each path, and retaining the time delay, angle and complex amplitude corresponding to the optimal fitness in the current ant colony. According to the method and the system disclosed by the invention, aiming at the problem of estimating the multipath channel parameters, the accuracy of estimating the multipath channel parameters is improved by utilizing the capability of globally searching the optimal solution through the ant colony optimization algorithm and through a method of continuously iteratively calculating the multipath channel parameters.