28 results about "Channel gain" patented technology

A double-lane millimeter wave vehicle networking safety transmission method, system, device and medium based on STAR-RIS, the method comprising: constructing a STAR-RIS assisted double-lane millimeter wave vehicle networking communication scene; based on the propagation characteristics of millimeter wave signals, combining the channel fading characteristics under the conditions of line-of-sight and non-line-of-sight transmission and the transmission and reflection functions of STAR-RIS, calculating the channel gain of the cascaded channel of the STAR-RIS assisted link; based on the random geometry theory, respectively calculating the probability density functions of the associated distances of the direct link, the STAR-RIS reflection link and the STAR-RIS transmission link; constructing a dynamic link association strategy supporting ternary selection; establishing a signal-to-interference-and-noise ratio model under three association modes; combining the physical layer security performance index definition, calculating the closed-form analytical expressions of the connection interruption probability and the secrecy interruption probability, and verifying the security gain of STAR-RIS; the present application has the advantages of effectively overcoming the half-space coverage blind area of the traditional reflective RIS, and improving the link connection reliability and physical layer safety transmission performance under the double-lane complex shielding environment.

This invention discloses a method for adjusting the active port, calculating the interruption probability, and calculating the interruption rate of shortwave communication based on a manifold antenna system in the field of wireless communication technology. The method includes: obtaining the architectural parameters of the target manifold antenna system, which include N ports uniformly distributed along a linear dimension W, each port sharing a common radio frequency link; calculating the instantaneous channel gain of each port; and selecting the port with the maximum instantaneous channel gain as the active port for shortwave communication. By introducing a manifold antenna, this invention achieves dynamic spatial adaptability within a limited area. Unlike traditional arrays with static elements, the FAS utilizes spatial diversity through real-time reconfiguration of antenna positions, eliminating the need for multiple radio frequency links. It also utilizes ionospheric reflection to establish beyond-line-of-sight connections. The FAS dynamically adjusts its active port to optimize reception from different refraction points, mitigating the inherent fading and signal attenuation of high-frequency skywave channels.

The application relates to the technical field of underwater acoustic communication, and discloses a method and system for dynamically allocating resources of an underwater voice communication system. The method comprises the following steps: setting a multi-user priority strategy according to a formation modular grouping; adopting a hybrid access mechanism of fusion of time division multiple access and carrier sense multiple access / collision avoidance, dividing communication channels into inter-group time slots and intra-group time slots, and competing for access to idle sub-carrier clusters in the time slots through a CSMA / CA mechanism; predicting a future state of an underwater acoustic channel; based on the predicted future state, adaptively switching a modulation and coding scheme according to a preset signal-to-noise ratio threshold; distributing sub-carrier bands to users with the largest channel gain based on a channel gain matrix; and combining the multi-user priority strategy, the hybrid access mechanism and the modulation and coding scheme to jointly optimize and distribute sub-carriers, bit loading and transmission power. Through dynamic resource allocation and adaptive transmission optimization, the application effectively improves the resource utilization rate and transmission quality of underwater voice communication.

A method is disclosed of selecting users for multi user multiple-input multiple-output (MU-MIMO) communication from an initial set of potential users. The method comprises repeating the following steps in successive iterations until a stopping criterion is met: determining a channel correlation metric for each user in the set of potential users, reducing the set of potential users by exclusion of a user based on the channel correlation metric, and calculating a performance metric of the set of potential users. The method also comprises selecting users corresponding to one of the sets of potential users, wherein the selection is based on a comparison of the calculated performance metrics of the sets of potential users. The channel correlation metric for a user may comprise one or more of: a channel filter norm for the user, a channel norm for the user, a channel gain for the user, pair-wise correlations between the user and one or more other users of the set of potential users, and a channel eigenvalue for the user. The performance metric may comprise one or more of: a sum-rate, a per-user-rate, an average error rate, a maximum error rate, a per-user error rate, and a sum-correlation. Corresponding apparatus, network node and computer program product are also disclosed.

The application discloses a satellite large-scale MIMO beam structure downlink precoding method and uplink detection method. In the beam base channel model established by the application, the scaling direction cosine is uniformly sampled and quantized, and the uplink / downlink beam matrix is constructed, the space domain channel vector is expressed as the product of the equivalent uplink / downlink channel gain, the uplink / downlink beam matrix and the diffusion vector. Based on the downlink / uplink beam base channel model, the statistical channel information is used to design the downlink precoder / uplink detector under the beam structure, and the high-dimensional space domain precoder / detector design is converted into the low-dimensional beam domain precoder / detector design. Using the designed precoder and detector, low-complexity downlink precoding transmission processing and uplink receiving processing are respectively carried out. The application fully utilizes the sparse characteristics of the satellite channel, guarantees the uplink and downlink ergodic and rate performance of the satellite large-scale MIMO system, and effectively reduces the design and implementation complexity of the precoder and the detector.

This invention discloses a hybrid power allocation method for an IRS-assisted VLC downlink NOMA system, belonging to the technical field of power allocation methods. Addressing the problems of easy occlusion of line-of-sight links, low efficiency of fixed power allocation, and high complexity of pure metaphysical heuristic algorithms in existing technologies, this invention jointly optimizes the reflection angle of intelligent reflective surfaces and the three-dimensional position of the UAV to construct a composite line-of-sight and non-line-of-sight communication link, enhancing anti-occlusion capabilities. Simultaneously, it proposes a modified fixed power allocation method, introducing a dynamic allocation factor based on user channel gain, achieving adaptive power allocation with the weakest user as the benchmark, improving fairness and efficiency. Furthermore, it integrates the modified fixed power allocation with the Ocean Predator algorithm to form a hybrid power allocation framework. This framework reduces the search space with low-complexity structured allocation, and then uses the Ocean Predator algorithm to globally and jointly optimize the UAV position, reflection angle, and dynamic allocation factor, balancing high system summation rate and fast convergence performance.

This invention proposes a multi-target detection method based on group sparsity OTFS communication sensing integration. The implementation steps are as follows: initializing parameters; constructing a sparse signal recovery problem based on the OTFS communication sensing integrated group sparsity model; solving the sparse signal recovery problem; and obtaining multi-target detection results. This invention constructs an OTFS communication sensing integrated group sparsity model and uses this model to construct a sparse signal recovery problem for N channels. During the iterative solution of the sparse signal recovery problem, the channel gain parameters and error terms are gradually updated, avoiding the impact of forced convergence on the channel gain estimate. Furthermore, the previously estimated channel gain parameters are used to gradually eliminate interference from other targets, thereby significantly reducing interference between multiple targets and avoiding the defect that interference between multiple targets increases with the number of targets, further improving target detection accuracy and robustness.

The application provides a delay-Doppler transmission method, device and equipment based on continuous domain mapping. Continuous amplitude modulation symbols generated by Shannon-Kotelnikov space filling mapping are sequentially filled into a delay-Doppler domain two-dimensional grid in a column priority rule, so that the geometric neighborhood relationship of continuous mapping is maintained in the delay-Doppler domain. The characteristics that each symbol in the domain experiences approximately uniform equivalent channel gain are utilized to avoid the destruction of the continuous mapping structure by double selected fading. Meanwhile, amplitude enhancement pilots are inserted in the grid and a guard band is set, and energy threshold adaptive adjustment based on a mapping scale parameter is combined to realize channel sparsity parameter estimation, so that the channel estimation and equalization process adapt to the continuous amplitude signal characteristics, thereby realizing the organic integration of analog joint source channel coding and orthogonal time-frequency-space modulation without relying on discrete constellation modulation.

This invention relates to the field of edge-cloud collaborative robot technology, and discloses a method, system, and storage medium for constructing edge-cloud collaborative robot memory based on semantic consistency verification. Addressing the problem of difficulty in evaluating the semantic fidelity of edge models under limited bandwidth, which easily leads to long-term memory fragmentation, this invention generates a question-and-answer database from the cloud and distributes it. The edge device answers based solely on its own generated initial subtitles under image masking conditions, and the semantic consistency score is calculated by comparing the answers. Simultaneously, a dynamic trigger threshold is calculated by combining a bandwidth debt queue and real-time channel gain. When the score falls below this threshold, the neighboring sequence of abnormal frames is extracted and sent back to the cloud for batch reconstruction, overwriting the original memory of the edge device. This invention achieves online unsupervised quantization of edge device cognition under constrained networks, adaptively eliminates memory gaps, and achieves a globally optimal balance between memory quality and communication overhead, enabling the construction of high-quality contextual memories for robots in complex task scenarios.

This invention discloses a RIS-assisted downlink transmission method for UAV air-to-ground network security. The method includes: constructing a large-scale channel gain for the UAV-RIS link; implementing optimal phase configuration and beamforming for legitimate users based on CSI; calculating the received signals and instantaneous signal-to-noise ratio for legitimate users and effective eavesdroppers; introducing a channel statistical model to model the statistical characteristics of channel fading and node locations and derive the link distance PDF; deriving a closed-form expression for the Standard Operating Procedure (SOP) in scenarios with random eavesdropper locations and numbers; and performing precise quantitative analysis of system security performance based on the closed-form expression, dynamically adapting and updating the RIS phase configuration and receiver strategy. This invention effectively corrects the security assessment distortion problem of traditional methods, achieves accurate characterization of the security interruption probability in scenarios with uncertain eavesdropper locations and numbers, reduces the system security interruption probability, and improves transmission security and robustness. It is applicable to UAV air-to-ground secure communication in an integrated air-space-ground architecture.

This invention discloses an audio rendering method, apparatus, device, and computer-readable storage medium, applied in the field of computer technology. The method includes: extracting sound bed components, audio object components, and metadata from a spatial audio file; mapping the audio object components to virtual speaker channels for sound image localization based on the metadata, obtaining a first format file; mapping the sound bed components to a second format file; the second format file is a spherical format file; merging the first and second format files to obtain a target rendering file; and performing audio rendering based on the actual playback scene and the target rendering file. Compared to current uniform rendering, which results in poor audio rendering quality, this invention distinguishes between the rendering processes of objects and sound beds, and uses a mapping algorithm for sound image localization to achieve channel gain allocation. This avoids the sound image blurring caused by phase interference in traditional solutions, thus better preserving the creator's intent and sound field consistency, thereby improving the rendering effect.

This invention discloses a multi-user downlink transmission analysis method based on a clamped antenna system. It employs a line-of-sight channel modeling method based on geometric location, constructing a large-scale channel gain model dominated by free-space path loss based on the relative positional relationship between the user and the clamped antenna. Downlink transmission models for waveguide multiple access (WMA) and non-orthogonal multiple access (NOA) are derived separately. For different access methods, the interruption probability and average reachability of users are modeled and calculated, thereby achieving a quantitative assessment of system reliability and spectral efficiency. This application can analyze the impact of different transmit powers, user spatial distributions, and clamped antenna deployment parameters on system performance, providing a theoretical basis for access method selection and antenna deployment design in clamped antenna systems, thereby improving the overall transmission performance and resource utilization efficiency of the system.

The application relates to a method for processing muon detection data of a triangular prism scintillator. S1: obtaining uncorrected energy deposition information and uncorrected hit position of each muon event in each layer detection unit; S2: based on the actual structure parameters of the detector, performing geometric correction on the traditional centroid algorithm; S3: based on the statistical relationship between the energy deposition of the muon in the scintillator and the track length, establishing a signal channel gain coefficient model, and correcting the energy response of each detection channel; S4: based on the fitting results of the muon track length and the energy of each channel, determining the energy consistency standard, and performing rejection processing on the muon events determined as abnormal; S5: performing muon track reconstruction and imaging, evaluating the position resolution of the detector, and if the convergence condition is reached, ending, otherwise returning to S2 for iteration. The technical scheme can improve the muon track reconstruction accuracy and imaging quality through geometric structure correction, energy correction and abnormal energy event screening.

This application provides an antenna beam and power optimization method, device, and storage medium based on a millimeter-wave full-duplex ad hoc network, relating to the field of communication technology. The method includes: configuring network information and transmission requirements for millimeter-wave full-duplex multi-data streams; obtaining, based on the transmission requirements, a first positional relationship between the transmitting and receiving endpoints in a first link and a first three-dimensional pointing angle of the transmitting endpoint's antenna beam; modeling the channel of the first link based on the first positional relationship and the first three-dimensional pointing angle to obtain first channel gain information; and obtaining a first reachability of the first link based on the first channel gain information and a first transmit power to model the reachability optimization problem; and optimizing the first three-dimensional pointing angle and the first transmit power using a block coordinate descent method to obtain a target three-dimensional pointing angle and a target transmit power. The method of this application achieves efficient end-to-end transmission of multi-stream data in a millimeter-wave full-duplex ad hoc network.

The application provides an OTFS fractional Doppler multi-target detection method based on group sparsity, and the implementation steps are as follows: initializing parameters; constructing and solving a group sparse signal recovery problem in two stages of coarse estimation and fine estimation; and obtaining a multi-target detection result through the two-stage solving result. The application constructs and solves a group sparse signal recovery problem in two stages of coarse estimation and fine estimation, calculates the detection result of the multi-target through the real number domain channel gain of the two-stage solving, utilizes the complex number characteristics of the real number domain channel gain, maintains the group sparsity and non-sparsity within the group of the time delay-Doppler domain channel gain, and avoids the defect that the amplitude of the non-target position is increased due to interference and noise. In the group sparse signal recovery, the channel gain of other channels is updated through iteration, and the signal components corresponding to other channel gains are subtracted, so that the interference between targets is gradually eliminated, and the detection precision is improved.

The application provides an AP dynamic selection method and system considering time delay and energy consumption, equipment and medium. According to the method, a UAV takes the maximum service radius of an AP as a search range, traverses the AP in the search range to form a candidate AP subset, and calculates the channel gain of a link to form a channel subset, and takes the AP corresponding to the maximum value in the channel gain as a core AP of the current UAV. The core AP adopts a preset cell-free scalable AP selection algorithm considering time delay and energy consumption to obtain an AP meeting a condition in the candidate AP subset and add the AP to an AP subset. The flight trajectory of the UAV is monitored in real time, and the core AP is updated. The technical scheme provided by the application can reduce the calculation overhead of the UAV and the power consumption of a network system, and improve network scalability.

This invention relates to the field of large-scale multiple-input multiple-output (MIMO) communication technology, and particularly to a hierarchical beamforming training method and apparatus based on channel map assistance. The method includes: constructing a channel map guided by beamforming codebooks, wherein the channel map records the equivalent channel gain corresponding to each grid point within a preset area and each beamforming codeword; acquiring partial location information of the user equipment, including multiple mutually exclusive spatial sub-regions where the user is located and the prior probabilities of each sub-region; calculating the beam potential energy of all beamforming codewords based on the channel map and partial location information; pruning the complete binary search tree based on the beam potential energy of each beamforming codeword; and traversing the simplified search tree according to a hierarchical beamforming training strategy to obtain near-optimal beamforming codewords. This solves the problems of unknown precise user location before beamforming training, unclear coordination mechanism between channel map and observation information, and difficulty in balancing training overhead and computational complexity.

This invention discloses a multi-target cooperative perception method for connected autonomous vehicles, relating to the field of autonomous driving technology. It includes: acquiring environmental data to construct local perception features and compressing them to obtain compressed features; constructing a path loss and channel gain model and calculating communication transmission delay using orthogonal frequency division multiple access (OFDM); establishing end-to-end perception delay and energy consumption models to obtain the perception delay and energy consumption corresponding to each role; constructing a multi-target optimization model; asynchronously generating action policies through an Actor network with a self-attention mechanism and evaluating the global state value through a Critic network with a graph attention mechanism to output the action policies; decompressing and fusing the compressed features for target detection; calculating multi-target reward values ​​and updating the parameters of the Actor network and Critic network respectively. This invention achieves adaptive cooperation by combining asynchronous architecture and multi-target optimization with attention reinforcement learning, balancing accuracy and energy consumption, and improving perception efficiency and robustness.

The application belongs to the field of mobile edge computing, and discloses a baseline-based automatic edge computing network resource allocation method. The method comprises the following steps: acquiring channel gains between each wireless device and each hybrid access point; inputting the channel gains into discrete network branch prediction offloading decisions; inputting the channel gains and the offloading decisions into parallel first and second continuous network branches to predict energy allocation ratios and offloading time allocation ratios; taking the parallel branches after historical iteration training as a baseline, outputting historical prediction results according to the channel gains of the current time slot; calculating maximum computing rates according to the prediction results of the current time slot and the history respectively, and updating the discrete network branches; calculating the maximum computing rate of the current time slot according to the prediction results of the current time slot, and updating the first continuous network branch and the second continuous network branch. In the case that distributed renewable energy is used for wireless device functions, the maximum computing rate of the overall edge computing network is high.

The application discloses a flight position design method for a UAV and an active RIS assisted communication system, comprising the following steps: taking the center of the active RIS as a coordinate origin and establishing a space rectangular coordinate system with a plane where the active RIS is located as a yOz plane; calculating the number of covered reflection units of the UAV directional antenna beam on the active RIS according to the geometric position relationship in the space rectangular coordinate system; calculating the receiving rate of the ground user according to the number of the reflection units; sequentially calculating the three-dimensional coordinates of the UAV according to the number of the reflection units and the receiving rate; setting an initial value, alternately iterating the calculation formula of the three-dimensional coordinates of the UAV, if convergence is obtained, the optimal position of the UAV is obtained; if convergence is not obtained, the three-dimensional coordinates of the UAV are sequentially calculated again until convergence is obtained; the active amplifier is integrated into the reflection unit to amplify the reflected signal, enhance the link regulation ability of the RIS, and the combination of the active RIS will further provide channel gain for wireless communication.

This invention discloses a channel gain correction method and system for a multi-channel detector, relating to the field of nuclear radiation detection technology. The method includes: acquiring raw event data using a multi-channel detector; determining the energy of all channels triggered by the same event based on the action time; calculating the total energy value for each event using the energy of its respective channels, statistically analyzing all events to construct the total energy spectrum of the channel events, and setting an energy filtering window based on the position of the photoelectric peak in the total energy spectrum, retaining events within the energy filtering window as the valid event set; using an iterative algorithm to correct the channel gain coefficients, and monitoring the energy resolution in real time until convergence; applying the finally obtained gain coefficients to perform channel-level gain compensation on all raw event data, and outputting and displaying the corrected energy spectrum and gain distribution map. Gain correction can significantly improve the energy resolution and position resolution of the detector, enhancing the system's imaging quality and quantitative accuracy.

The application provides a distance zero value self-calibration method based on a radio frequency agile transceiver chip, comprising the following steps: configuring the radio frequency agile transceiver chip as a double-channel mode; selecting a manual gain control mode for a receiving channel gain control mode of the radio frequency agile transceiver chip, and manually setting gain values of a working branch receiving channel and a self-calibration branch receiving channel to be the same; connecting a Tx2 radio frequency output signal of the self-calibration branch transmitting channel to a radio frequency receiving end of a Rx2 receiving channel after the Tx2 radio frequency output signal is subjected to frequency conversion and fixed attenuation processing; adopting a Tone-FM single tone frequency modulation for a transmitting end signal of the self-calibration branch; performing single tone frequency signal demodulation at a receiving end of the self-calibration branch, recovering a single tone signal from the received signal through frequency discrimination technology, and performing phase comparison on the recovered single tone signal and an original single tone signal output by the transmitting end of the self-calibration branch to obtain a distance zero value of the self-calibration branch; and compensating a Tx1 radio frequency output signal of a transmitting channel of a working branch and a Rx1 radio frequency signal of a receiving channel according to the distance zero value obtained by the self-calibration branch.

The application discloses a high-speed data transmission method and device based on a silicon photon chip and a medium, relates to the technical field of data transmission, and comprises the following steps: a plurality of wavelength mode physical channels are constructed by utilizing a micro comb light source, a wavelength demultiplexing structure and a double-mode waveguide on a silicon photon chip; a training sequence is sent under default transmission of a programmable interference network, channel gain and noise are estimated to obtain state information; the number of virtual channels is determined and combination parameters are calculated according to the state information; virtual-real channel mapping is established, and on-chip optical path configuration is completed; a service forward error correction code is encoded on the sending side, and a multidimensional optical signal is generated by cross-virtual channel bit interleaving in the encoding block; after demultiplexing and equalization, the signal is transformed to a virtual channel domain on the receiving side, soft decision demodulation and error correction decoding are performed, a quality index is calculated, and channel state is updated; and linear combination parameter matrix and modulation parameters are further jointly optimized to realize low-error and high-throughput adaptive transmission under a dynamic link.

This invention discloses a 5GMEC task offloading method and system with adaptive power in vehicle-to-everything (V2X) networks, relating to the field of task offloading technology. The method includes: firstly, determining the distance between the vehicle and the center of the roadside unit, dividing this distance into near and far distance intervals, and applying different step power; secondly, calculating the link's transmission capacity based on link parameters, calculating link loss and channel gain; thirdly, calculating the pre-offloading delay based on the task size, and calculating the total task processing delay; fourthly, if the delay exceeds the system's set total delay limit, adjusting the vehicle's transmit power to the maximum; and fifthly, dynamically implementing task offloading based on link status and total task delay, which maximizes the stability of the offloaded link quality and improves the success rate of task resource preemption and offloading.

This invention provides an NR-NTN downlink simulation system and method for direct satellite connection from mobile phones. The system includes: a user interaction layer, which provides parameter input interfaces through a configuration tab, real-time monitoring through a simulation tab, and data analysis through a results tab; a simulation control layer, which integrates a thread controller, a progress callback, and a signal transmitter, responsible for driving the clock progression of the transmission time interval and asynchronously callbacking the underlying data to the user interaction layer through a signal slot mechanism; a simulation engine layer, which integrates an orbit dynamics module, an NTN channel module, a dual-path comparison scheduler, and a HARQ / OLLA module. The orbit dynamics module calculates the satellite state vector based on the SGP4 model, the NTN channel module generates time-varying channel gain based on a Markov chain, the dual-path comparison scheduler executes resource allocation algorithms in parallel, and the HARQ / OLLA module maintains the link layer protocol state machine; and a data layer, responsible for storing electromagnetic map files, TLE text files, and MCS / BLER mapping tables.

The application discloses a three-phase neutral-point-clamped three-level PWM rectifier soft-start method and system, and belongs to the technical field of power electronic control, which comprises the following steps: when the three-phase power supply voltage is relatively small, starting the PWM rectifier, using the voltage-current double closed loop control to generate the main control component of the modulation signal, and the initial value of the voltage outer loop reference signal is the actual sampling value of the DC bus voltage in the uncontrolled rectification, then linearly increasing in each control cycle until reaching the desired value of the bus voltage; in addition, the power supply voltage is normalized through the actual value of the DC bus split capacitor voltage to obtain the feedforward component of the modulation signal, and the feedforward channel gain is gradually reduced in each control cycle until being 0. The main control component and the feedforward component of the modulation signal are superposed as the final modulation signal, and the driving signal of the switching tube is obtained through modulation. The application can effectively inhibit the generation of impact current, and improve the stability of the three-phase neutral-point-clamped three-level PWM rectifier soft-start.

The application discloses a kind of multi-antenna unmanned plane communication network robust resource scheduling method and related device, comprising: the basic parameters of unmanned plane communication network are initialized, each ground user is arranged in ascending order according to the horizontal distance between ground user and unmanned plane ground projection point, according to channel gain difference, the user with unmanned plane ground projection point horizontal distance is close and the user with unmanned plane ground projection point horizontal distance is far away is paired;Determine high-probability confidence region;With the minimum unmanned plane total transmit power as target, construct the mathematical model P1 of joint optimization beam forming and power allocation;Solve the mathematical model P1, obtain unmanned plane robust beam forming and power allocation coefficient, according to unmanned plane robust beam forming and power allocation coefficient, multi-antenna unmanned plane communication network robust resource scheduling, the method and related device can effectively improve the reliability and network utility of multi-antenna unmanned plane network.

This application relates to the field of wireless communication technology, and in particular to a method, apparatus, electronic device, and storage medium for constructing a beam channel map. The method includes: acquiring an environmental map of an application scenario and location information of base stations within the application scenario; obtaining sparse observations of the beam and channel gain values ​​at any location within the application scenario; constructing a training set using the environmental map, location information, and sparse observations as inputs, and channel gain values ​​as outputs; training a target neural network using joint loss as an indicator to construct a channel gain model that meets preset training conditions; and outputting a beam velocity channel map of the target application scenario based on the channel gain model. This solves the problem that as the parameter dimensionality of channel estimation increases, the demand for pilot resources increases, leading to a continuous increase in pilot occupancy, which in turn compresses time-frequency resources used for data transmission, reducing system spectral efficiency and consequently lowering overall system throughput and data transmission rate.