352 results about "Channel capacity" patented technology

The invention provides a mobile phone signal blocking, shielding and self-adaptive identification method and system, and relates to the technical field of mobile phone signal identification and shielding, and the method comprises the steps: collecting signals through a distributed signal collector, obtaining signal features and positions through time-frequency domain analysis and triangulation positioning, inputting a convolutional neural network to extract communication protocol and behavior pattern features, and carrying out the blocking, shielding and self-adaptive identification. And predicting a signal movement track and a communication behavior. And calculating a minimum interference power threshold based on a channel capacity theory, iteratively optimizing interference power by adopting a multi-objective optimization algorithm, calculating a beam direction and phase delay according to optimal power configuration parameters and signal movement track prediction data, and generating a blocking control signal. A directional interference beam is compensated by adopting a digital pre-distortion technology, an interference effect is monitored in real time, evaluation data is fed back to a convolutional neural network to update signal identification data, and closed-loop control is formed, so that accurate and efficient mobile phone signal blocking, interference power reduction and anti-interference capability improvement are realized.

The invention discloses a resource allocation method based on a game theory and a genetic algorithm. The method comprises the following steps: constructing a communication model of communication equipment and obtaining channel capacity from a base station to user communication equipment; constructing a game model of an optimal channel access strategy according to the channel capacity from the base station to the user communication equipment; and obtaining an optimal solution of the game model based on a genetic algorithm, and taking the optimal solution as a resource allocation result. According to the method, the interference and the user communication equipment are used as two parties of the game for modeling, so that the method can dynamically cope with a complex and changeable electromagnetic environment. Compared with a traditional algorithm which is poor in performance under the conditions of high load and multiple devices, the resource allocation method can better adapt to complex scenes, and therefore the efficiency and reliability of spectrum management are improved.

The present application belongs to the technical field of communications. Disclosed are a coding method and apparatus, a decoding method and apparatus, and a communication device. The coding method in the embodiments of the present application comprises: a first communication device respectively determining channel capacities of sub-channels corresponding to M bits of a first modulation symbol; the first communication device dividing the sub-channels corresponding to the M bits into T sub-channel groups according to the channel capacities of the sub-channels corresponding to the M bits; the first communication device dividing a codeword sequence having a length of N into T groups to obtain T codeword sub-sequences; the first communication device determining the reliability ranking among the T codeword sub-sequences according to column weights of the T codeword sub-sequences; and the first communication device respectively mapping bits of the T codeword sub-sequences onto the sub-channels of the T sub-channel groups according to the channel capacity ranking among the T sub-channel groups and the reliability ranking among the T codeword sub-sequences.

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

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

The invention relates to an unmanned aerial vehicle cluster autonomous crossing method and system. The method comprises the following steps: expanding channel capacity, carrying out time delay analysis, and introducing a non-orthogonal multiple access technology to carry out interference management and resource allocation so as to complete network deployment; establishing a linear state space model of a multi-unmanned aerial vehicle system for the unmanned aerial vehicle cluster, setting a cooperative control strategy and an obstacle avoidance strategy, and performing model performance analysis; acquiring environment information through each sensor arranged on each unmanned aerial vehicle in the unmanned aerial vehicle cluster to obtain an environment state; an artificial potential field method is adopted to complete a dynamic obstacle avoidance algorithm according to environment state design, and the path of the unmanned aerial vehicle is adjusted in real time according to the dynamic obstacle avoidance algorithm; establishing an unmanned aerial vehicle kinematic model, designing an optimization algorithm of path planning based on the unmanned aerial vehicle kinematic model, and performing real-time dynamic path adjustment according to the optimization algorithm; setting a security and fault-tolerant mechanism; and autonomous crossing of the unmanned aerial vehicle cluster is realized. And the high-efficiency collaboration and stability of the unmanned aerial vehicle cluster are improved.

Systems and methods for User Equipment (UE)-assisted precoder selection are provided. In one embodiment, a method implemented in a base station for transmitting data to a UE comprises transmitting, to the UE, Channel State Information Reference Signal (CSI-RS) on two sets of CSI-RS resources; receiving, from the UE, two sets of CSI; estimating a first channel capacity for the codebook-based precoder based on the first set of CSI and a second channel capacity for the non-codebook-based precoder based on the second set of CSI; selecting one precoder from the codebook-based precoder and the non-codebook-based precoder based on the first channel capacity and the second channel capacity; and performing data transmission to the UE using the selected precoder. Embodiments of the proposed solution enable selecting a best precoder from the codebook-based precoder and the non-codebook-based precoder.

Systems, apparatuses, and methods are described for wireless communications. A base station may transmit wireless device-specific downlink control information comprising HARQ feedback to a wireless device. Coordinating a plurality of HARQ feedbacks may result in complicated processing at the base station and / or a delay to schedule a HARQ feedback for the wireless device. The transmission of the downlink control information may not require HARQ feedback from a wireless device. By reducing the transmission of HARQ feedback, the channel capacity utilized for error correction transmissions can be reduced, thereby enhancing resource utilization.

The invention discloses an RIS-assisted MISO system physical layer security optimization method. A downlink MISO communication system comprising a base station, an IRS, a single user and a single eavesdropper is constructed; defining each channel gain coefficient and channel model of the MISO system; defining a reflection coefficient matrix of the IRS, and solving received signals of a user and an eavesdropper; defining signal-to-noise ratios of the user and the eavesdropper, and respectively solving channel capacities of the user and the eavesdropper; defining the safety rate of the system, and constructing an optimization problem; and finally, a base station beam forming vector and an IRS phase shift matrix are jointly optimized to maximize the system safety rate. According to the invention, the physical layer security of the wireless communication system is effectively improved, and the blank of the traditional IRS physical layer security technology in the aspect of processing full-duplex eavesdroppers is filled.

The invention discloses an optical communication network adaptive entropy loading method and device based on transfer learning, and belongs to the technical field of optical communication, and the method specifically comprises the steps of entropy loading model building, synthetic signal generation and model pre-training, experimental signal generation and model transfer learning, and adaptive entropy loading. In the whole process, the entropy distribution process of traditional entropy loading is replaced by the neural network, and the entropy approaching the channel capacity is predicted according to the received signal. A large number of synthetic signals are used for pre-training an entropy loading model, transfer learning is combined, the entropy loading model predicts the entropy of an unknown channel in the optical communication network in a self-adaptive mode, dependence of an existing entropy loading algorithm on the channel state is reduced, and therefore self-adaptive entropy loading of the optical communication network is achieved.

The invention discloses a satellite-based routing decision making method and device and a storage medium. The method comprises the following steps: determining a plurality of reference curves in each first sampling period; determining a first distribution curve in the current time period, and broadcasting the reference curve of the current time period, the first distribution curve and the channel capacity of each area in the current time period to each satellite; determining a reference curve of the next time period, calculating a deformation relation between the reference curve of the second sampling time period and the reference curve of the third sampling time period, and performing deformation processing on the first distribution curve to obtain a plurality of second distribution curves of the next time period; predicting the satellite congestion degree of each region in the next time period according to the channel capacity of each region in the current time period on the basis of the plurality of second distribution curves; and based on each region, constructing a plurality of corresponding routing paths, and determining an optimal routing path in the plurality of routing paths by using a genetic algorithm. Therefore, the technical effect of reliably transmitting data is achieved.

Systems, apparatuses, methods, and computer program products are disclosed for adaptive transmission with improved channel estimation for ultra-wideband communications. An example method includes receiving a set of reference signals. The example method also includes determining, using the set of reference signals, estimated channel error information for a channel. The example method also includes modifying a Signal-to-Interference-plus-Noise Ratio (SINR) based on the estimated channel error information. The example method also includes modifying a channel capacity based on the estimated channel error information. The example method also includes determining channel state information based on the modified SINR and the modified channel capacity. The example method also includes outputting the channel state information.

The invention discloses a visible light communication channel selection optimization method based on a genetic algorithm, and aims to improve the global optimization capability and dynamic adaptability of channel selection. The method comprises the following steps: performing high-precision parameter acquisition and preprocessing on an available visible light communication channel to generate an initial population; designing a multi-objective fitness function, comprehensively considering channel capacity, interference, delay and spectrum efficiency indexes, and evaluating each individual in the population; dynamically adjusting parameters of the large-scale pre-training language model and the deep learning network in combination with online learning and a real-time feedback mechanism; adopting a multi-objective optimization and local search mechanism to realize multi-objective optimization of channel selection; and finally, outputting an optimal channel selection scheme. The method provided by the invention has the advantages of strong global optimization capability, high dynamic adaptability, excellent communication quality and high system efficiency, and is suitable for complex and changeable communication environments.

The invention discloses a modulation parameter adjustment method, relates to the technical field of frequency modulation, and aims to solve the problem that the communication quality and reliability of a communication system are affected due to poor modulation accuracy of the frequency of the communication system. Comprising the steps that signal quality information, channel capacity and environment information are collected, the signal quality information comprises the signal-to-noise ratio, the bit error rate and the frequency offset, and the environment information comprises the environment temperature value, the environment humidity value and the electromagnetic interference frequency; determining the channel quality according to the signal-to-noise ratio, the bit error rate, the frequency offset and the channel capacity; comparing the environment information with standard environment information to obtain a comparison result, and determining whether the environment information affects channel quality according to the comparison result; if it is determined that the environmental information affects the channel quality, determining an influence parameter according to the environmental information, and determining a channel evaluation parameter through the influence parameter and the channel quality; and determining whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter.

The embodiment of the invention discloses a communication method and device based on precoding, and the method comprises the steps: determining a codebook used by a terminal device from at least two groups of candidate codebooks, and enabling the at least two groups of candidate codebooks to at least comprise a first codebook suitable for far-field communication and a second codebook suitable for near-field communication, first indication information is sent to the terminal equipment, and the first indication information is used for indicating the codebook used by the terminal equipment, so that a network side can flexibly select and switch the corresponding codebook based on a communication scene where the terminal equipment is located; under the condition that a far-field communication scene and a near-field communication scene may be switched back and forth in a high-frequency communication system, the channel capacity can be effectively improved, the precoding complexity can be reduced, the balance between the precoding complexity and maximization of the channel capacity is achieved, and the reliability of information transmission of the whole communication system is ensured.

The present invention discloses a method for modeling ultra-large-scale MIMO geometric random and beam-domain wireless channels, and the specific steps include: 1) setting simulation parameters, network layout, etc., generating initial large-scale parameters, and generating initial clusters based on model initialization parameters; 2) updating large-scale and small-scale parameters; 3) generating geometric random channel model channel coefficients, steering matrices, and beam-domain channel matrices; 4) analyzing channel characteristics, and verifying the accuracy of the model by comparing with measured data. The wireless channel modeling method established by the present invention supports spherical waves and spatial non-stationary characteristics, and can realize the conversion from geometric random to beam-domain channel models under near-field conditions. The model accuracy is verified by the consistency of simulation and measurement results of space-time-frequency correlation functions and channel capacity. The present invention has guiding significance for the design and performance evaluation of ultra-large-scale MIMO communication systems.

The invention discloses a load saturation prediction method and device for satellite communication, and the method is applied to a gateway station, and comprises the steps: constructing a first data set corresponding to each sampling time period, and carrying out the fitting of each first data set, and generating a corresponding reference distribution curve; constructing a second data set corresponding to the current time period, and fitting the second data set to generate a corresponding first actual distribution curve; pre-determining the channel capacity between each satellite and the corresponding coverage area, and broadcasting the first actual distribution curve, a first reference distribution curve corresponding to the current time period and the channel capacity to each satellite; determining a second reference distribution curve corresponding to the next time period, calculating a deformation parameter between the first reference distribution curve and the second reference distribution curve, and predicting a second actual distribution curve; and selecting a prediction point in the second actual distribution curve, and determining the load saturation of each satellite in the next time period according to the prediction point and the channel capacity.

The invention discloses a multi-chip photoelectric hybrid interconnection optimization method and system, and belongs to the technical field of computers. The method comprises the following steps: determining optical interconnection power consumption data of each chip; determining electric interconnection power consumption data of each chip; determining an optical wavelength multiplexing factor of each chip; determining the optical channel capacity of each chip; calculating an overall photoelectric interconnection transmission energy efficiency ratio; and if the overall photoelectric interconnection transmission energy efficiency ratio is higher than a preset energy efficiency threshold, determining a photoelectric interconnection optimization scheme through a preset optimization model, and optimizing each chip according to the photoelectric interconnection optimization scheme. According to the scheme, optimization is carried out based on the energy efficiency threshold value, it is ensured that the system operates in a high-energy-efficiency state, unnecessary power consumption is reduced, and the operation cost is reduced. Through intelligent optimization, calculation and communication loads of different chips can be adjusted, and the throughput of the whole system is improved. Meanwhile, manual intervention is reduced, and the self-adaptive capacity of the system is improved.

The invention belongs to the technical field of resource allocation. The invention provides a resource allocation method for a multi-hop access and backhaul integrated network. According to the embodiment of the invention, coverage division is carried out by utilizing the Voronoi diagram, the access network service flow of each node can be estimated before the network is initialized, the calculation complexity is low, and the performance is equivalent to the performance of carrying out user association in a maximum signal-to-noise ratio mode in a scene with more nodes. According to the method, the bottleneck link is considered, congestion caused by data service backlog at individual nodes can be effectively avoided, and meanwhile, the optimization algorithm can be promoted to allocate more resources to the bottleneck link so as to realize higher overall network throughput. The throughput is measured through actual transmission requirements to improve the resource allocation efficiency, and the situation that part of nodes occupy resources, large transmission capacity is achieved, but no transmission requirements exist is avoided. The optimization problems of multiple nodes and throughput maximization can be solved by processing fraction terms about power in a channel capacity formula through secondary transformation.

The transmitting station or the receiving station estimates channel information. All combinations of sub-array configurations in accordance with the number of transmitting antennas, the number of receiving antennas, and the number of transmission signals are derived. For the all combinations, precoding matrices which can be combined in-phase with the selected receiving antennas are derived. The channel capacity for the all combinations from the channel information and the precoding matrix is calculated. The optimal precoding matrix which maximizes channel capacity is selected. The transmission-side control information is determined from the optimal precoding matrix. The transmitting station switches the output destination of a single signal or a plurality of signals on the basis of the transmission-side control information and forms an arbitrary sub-array corresponding to each signal. The sub-array performs in-phase combining using phase control for the desired receiving antenna. The receiving station combines, separates, and demodulates the signals.

The invention discloses a broadband intelligent metasurface, and the metasurface is characterized in that the left part and the right part of a metal radiation patch are respectively and additionally provided with an open rectangular ring metal groove, and the two added open rectangular ring metal grooves are symmetrically arranged in the metal radiation patch in a manner that the openings face inwards; in this way, a new resonance mode with the frequency of f4 is introduced into the two open rectangular ring metal grooves in the off state of the intelligent metasurface unit, so that the phase shift range of the intelligent metasurface unit is expanded, and the phase bandwidth of the intelligent metasurface unit is increased. Compared with a traditional intelligent metasurface, the broadband intelligent metasurface has a wider working bandwidth, improves the channel capacity of a communication system, supports a higher data transmission rate, and better resists multipath interference and frequency selective fading, thereby improving the reliability of signals and the communication quality. According to the broadband intelligent metasurface, broadband electromagnetic signals can be regulated and controlled at the same time through one metasurface, and the design and deployment cost of the intelligent metasurface can be effectively saved in application deployment.

The invention discloses an anti-interference receiving beam optimization method for a communication and perception fusion system. The method comprises the following steps: estimating an arrival angle of a receiving signal of the communication and perception fusion system by using a spatial spectrum estimation algorithm; according to the angle of arrival of the received signal and the mathematical model of the received signal, carrying out inversion to obtain snapshot information of the received signal; according to the snapshot information of the receiving signal, a receiving beam vector optimization problem is constructed, the receiving beam vector optimization problem aims at maximizing the uplink communication channel capacity, interference suppression constraint is introduced at the same time, and an optimal receiving beam vector is designed; and obtaining an optimal receiving beam vector by solving the receiving beam vector optimization problem. According to the invention, external electromagnetic interference signals can be effectively suppressed, the communication quality and sensing performance of an ISAC system are improved, the bit error rate is reduced, and the accuracy of functions of target detection, positioning, tracking and the like is enhanced.

The invention discloses a dual-mode communication power distribution method and a dual-mode communication power distribution system considering an asymmetric service threshold and a comprehensive utility, which can realize maximization of system channel capacity through a total dual-mode communication system, judgment of constraint conditions and constraint of whether maximum distribution power of a subcarrier is needed or not and optimization of an algorithm, and improve the performance of the system. The system performance is improved, the resource utilization efficiency is optimized, and the comprehensive effectiveness of the system is improved. Moreover, by setting different power distribution ratios of wireless communication and power line communication, the requirements of different dual-mode communication systems for power distribution of two communication modes can be met, and the power distribution ratio with the best optimization efficiency under the current condition can be given.

The invention discloses a storage type passive covert channel method and system using multiple protocols, a covert transceiver synchronization mechanism and a reversible data hiding mechanism are designed based on an m sequence, and the appointed m sequence is searched for a network data packet load through a sequence matching method to determine a covert carrier data packet. Calculating an allowable maximum matching fault-tolerant bit r to improve the matching probability of the m sequence; in the fault-tolerant bit r, the hidden sender allows the load to be modified so as to embed hidden data; a hidden receiver searches a hidden carrier through an agreed m sequence, extracts hidden data and recovers a data packet to realize reversible data hiding; a kernel module based on an Openwrt system is designed to realize covert channel construction, and the system can be deployed in equipment such as an intelligent router carrying the Openwrt system. According to the invention, while the capacity and the transmission rate of the covert channel are ensured, relatively low calculation storage resources are consumed, and the method has the anti-flow analysis capability.

The application relates to the field of communication and is a space-air-ground communication resource multi-target optimization method based on a Pareto optimal solution set, which solves the problem of unreasonable communication resource allocation schemes in the prior art. The application relates to a ground Internet of Things terminal, a UAV and a low-orbit satellite, and comprises the following steps: 1. calculating uplink channel capacity from the ground Internet of Things terminal to the low-orbit satellite; 2. optimizing a target function modeling: taking the minimum uplink channel capacity of each category of Internet of Things terminal in step 1 as an optimization target; 3. iterative optimization based on an evolutionary algorithm framework; the application flexibly designs the deployment position of the UAV and the bandwidth allocation scheme among the Internet of Things devices, adopts a directional resource adjustment scheme, and optimizes the uplink channel capacity of each category of ground Internet of Things terminal through the UAV relay to the low-orbit satellite in a fair manner, so that the uplink channel capacity among the same type of Internet of Things devices is as equal as possible and the uplink channel capacity of each category of Internet of Things device is as large as possible.

The invention belongs to the field of signal processing, and discloses a single-user-oriented MIMO-OTFS system and a capacity optimization method thereof. The method comprises the following steps: (1) performing singular value decomposition (SVD) on channel matrixes corresponding to complete channel state information (CSI) of different levels of receiving and transmitting ends, comprising complete CSI of a receiving end and a transmitting end, complete CSI of a known LoS path of only the transmitting end and complete CSI of a known LoS path of only the receiving end; (2) designing a corresponding transmitter beam W and a receiver beam F according to different levels of CSI and the SVD of the channel matrix H obtained in the step (1); and (3) optimizing channel capacities of corresponding different levels of CSI according to the transmitter beam W and the receiver beam F designed in the step (2). According to the invention, corresponding transceiver beam matrixes are designed for different levels of CSI, and the channel capacities of the corresponding different levels of CSI are optimized; in particular, the present invention can achieve communication performance close to channel capacity using a small amount of channel information and lower signal processing complexity.

The invention relates to the technical field of communication, in particular to a transmission layer ultra-low delay congestion control method assisted by physical layer information. The core of the method is as follows: a sending end continuously acquires physical layer channel quality information and predicts a future channel capacity change trend based on historical and current information sequences; and then, dynamically calculating and smoothly adjusting the size of a transmission layer congestion window through a predefined mapping relation according to a prediction result, actively reducing the window before predicting that the channel is deteriorated, and timely increasing the window when the channel is improved. In addition, the method also comprises a fault-tolerant mechanism, and automatically switches to a traditional congestion control mode when the prediction is misaligned by monitoring the deviation between the prediction and the reality. Through cross-layer information utilization and prospective control, the method aims to effectively reduce data transmission delay and jitter and improve the capability of a network to cope with channel dynamic changes and the overall stability.

Methods and systems for rate control include determining an encoding parameter value to use for an input set of video frames based on a current channel capacity, using a machine learning model that accepts the input set of video frames and the current channel capacity as inputs. The input set of video frames are encoded using the encoding parameter to generate encoded video that has a bitrate below the current channel capacity. The encoded video is transmitted.

The present application relates to a wireless communication system. Provided are a service signal sending method and a related device. The sending method comprises: an access network device acquiring an effective-capacity requirement corresponding to a user equipment, wherein an effective capacity is used for indicating a data transmission rate of a channel that meets data transmission requirements corresponding to a service, and the data transmission requirements comprise signal delay requirements; on the basis of the effective-capacity requirement, the access network device determining precoding corresponding to a downlink channel, wherein the precoding is used for adjusting the channel capacity of the downlink channel, such that the channel capacity of the downlink channel meets the effective-capacity requirement; and the access network device preprocessing, on the basis of the precoding, a service signal corresponding to the service, and sending the preprocessed service signal to the user equipment by means of the downlink channel. In the embodiments of the present application, the access network device can ensure that the channel capacity corresponding to each user equipment can meet the requirements for real-time performance and integrity of service data of the user equipment. In this way, the total effective capacity of a whole system can be improved while ensuring the total throughput of the system.

The invention relates to the field of satellite communication, discloses a feed link self-adaptive transmission method based on ground terminal decision, and relates to a feed link self-adaptive modulation coding mode conversion and uplink sending power adjustment technology in a low earth orbit satellite communication process. According to the method, the ground feed terminal is used as a statistics, storage and decision-making center of the channel state, the uplink and downlink modulation coding mode and the uplink sending power are made for adjustment decision according to the comparison of the signal-to-noise ratio of the uplink and downlink and the receiving power of the satellite-borne feed terminal with the set threshold value, the implementation difficulty of the satellite-borne feed terminal is reduced, and the implementation efficiency is improved. Therefore, the change of the channel state in the movement process of the low-orbit satellite is adapted, and the maximization and optimization of the channel capacity utilization are realized. The method is suitable for the transmission design of the low-orbit satellite feed link.