290 results about "Channel capacity" patented technology

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.

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 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 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.

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 embodiment of the invention discloses a beam forming method and a communication device, relates to the technical field of communication, and can suppress a beam squint effect under a large bandwidth and improve channel capacity. The method comprises: a network device receiving first indication information, the first indication information being used for indicating an airspace base of each sub-band in at least one sub-band in a broadband, or the first indication information being used for indicating beam information of each sub-band in the at least one sub-band in the broadband. The network device performs beamforming according to airspace substrates or beam information corresponding to a plurality of sub-bands of the bandwidth, and the airspace substrates corresponding to the plurality of sub-bands are determined according to the airspace substrate of each sub-band in the at least one sub-band. The beam information corresponding to the plurality of sub-bands is determined according to the beam information of each sub-band in the at least one sub-band. The embodiment of the invention is used for a beam forming process.

The invention relates to the technical field of satellite communication, and discloses an efficient encoding and decoding and distribution transmission method for satellite image data, which comprises the following steps of: acquiring satellite epoch parameters, estimating a downlink channel capacity sequence, decomposing the image data into a basic feature code stream and a background residual code stream, and distributing a transmission priority, and mapping the basic feature code stream to the most significant bit of the modulation symbol, mapping the background residual code stream to the least significant bit of the modulation symbol, and implementing nonlinear displacement stretching on the coordinate of the constellation point where the modulation symbol is located according to the carrier frequency shift change rate. A core semantic bit phase tolerance boundary is expanded by compressing a background data judgment space, high-fidelity transmission of key image features in a severe phase distortion environment is ensured, and the information transparent transmission capacity in a high-dynamic link is improved.

The invention relates to the technical field of power equipment testing, in particular to a power test intelligent testing system which comprises a nameplate analysis module, a channel optimization module, a path configuration module, an interference identification module and an excitation regulation and control module. According to the method, the content of the nameplate of the equipment is extracted through image recognition to complete structural analysis of electrical parameters, a parameter feature set is established through information such as frequency, capacity, phase number and current, and test channel screening is achieved according to a set frequency point and channel capacity matching relation. The method comprises the steps of setting a path sorting mode and mapping response time parameters in combination with physical wiring characteristics and a phase number structure, marking channel combination interference levels based on an inductive interference identification mode, optimizing channel interference in an excitation process by adjusting an excitation sequence and a grounding strategy, and executing interval discrete regulation and control operation in combination with a frequency interval real-time judgment result. And collaborative optimization of test path construction, interference control and excitation sequence allocation is realized.

An ultra-wideband end-fire antenna with a common aperture embedded in a metal carrier includes a metal cavity with a coaxial cable compartment on one side. A radiator module is connected to the bottom of the metal cavity via a radiator fixing slot. The radiator module includes a common aperture antenna substrate. A low-frequency radiator is printed on the side of the common aperture antenna substrate closer to the coaxial cable compartment, and a high-frequency radiator is printed on the side farther from the coaxial cable compartment. This invention utilizes a dual-band antenna in a common aperture design to enhance the channel capacity and anti-fading capability of the communication system. At the same time, by achieving the antenna's carrier conformal characteristics, high isolation, and miniaturization, it enriches the antenna's application scenarios and improves the overall performance of the communication system.

The invention discloses a power information dual-modulation method of an isolated DC-DC converter based on high-frequency harmonic amplitude modulation, and belongs to the technical field of power generation, power transformation or power distribution. The method is realized based on the design idea of complete separation of high-frequency carrier waves and fundamental wave frequency bands. The method comprises the following steps: firstly, modulating the waveform of an alternating current output voltage at a sending side, and performing ASK on a high-frequency harmonic wave carrying information to realize broadband information transmission and improve the channel capacity; the signal is amplified through the resonance network of the magnetic cavity, so that the signal-to-noise ratio is high, the detection is easy, and the quality of the output voltage is not influenced; and finally, information is demodulated by collecting the oscillation amplitude of the high-frequency alternating-current voltage at the receiving side. According to the method, each communication only needs one switching period, and the communication rate is improved compared with a traditional method; and flexible high-frequency signal amplitude modulation is supported, multi-system modulation is easy to realize, a plurality of bits can be transmitted in each communication, the output quality of direct-current voltage and the design of an isolation transformer are hardly influenced, and the integrity of power design is ensured.

Embodiments include an automatic set top box placement (STB) process and system that balances video playback needs against the performance characteristics of individual devices and the communications system. For video playback, this involves maintaining required sustained data rates needed to support video of various levels of quality and resolution and matching these against the capacity of the Wi-Fi system in terms of channel capacity and gateway / Access Point to STB connection quality. An intelligent network controller calculates the STB total airtime. Each STB is associated with a Service Set Identifier (SSID) that the controller uses to identify the STB clients. The controller calculates the End-to-End PHY rates for each client. The total STB airtime can then be calculated and compared to the default allocation for the STBs. Recommendations regarding moving STBs, gateways, and or satellite / booster devices can then be provided to the user.

The invention discloses a dual-channel wireless electric energy and information synchronous transmission device based on a series-parallel resonant circuit and a parameter design method thereof, and the device comprises an energy transmitting side, an energy receiving side, an information transmission channel I and an information transmission channel II. Two series resonance frequency points of a series-parallel resonance circuit are designed in a targeted mode and serve as carrier frequencies of two independent communication channels, and parallel high-speed transmission of dual-channel information under a single coupling coil structure is achieved. Compared with a mainstream energy and information simultaneous transmission system, the system provided by the invention has the advantages that the channel capacity of the system is doubled by constructing two virtual information transmission channels on a single physical channel, and the multiplication of the transmission rate is realized.

The invention relates to the technical field of data processing, in particular to an on-satellite remote sensing data task-oriented cross attention fusion compression wireless transmission method, which comprises the following steps that: an intelligent agent takes metadata and channel state information as a state space and takes a parameter adjustment strategy of a cross attention mechanism as an action space; the output decision dynamically adjusts the interaction degree of different modal original data stream features, and the adjusted features are compressed to generate a compressed data stream; a compressed data stream is input into a wireless transmission digital twinborn model constructed on a satellite, a carrier sensing multi-channel access protocol is adopted in an actual transmission stage, and the size of a protocol backoff window is dynamically adjusted by the digital twinborn model according to a rehearsal conflict probability and is optimized by combining a channel capacity change trend prediction result. And finally sending the composite signal of the physical layer network coding. According to the invention, through task-oriented data processing, intelligent compression and digital twinborn rehearsal, the spectrum competition conflict of satellite multi-modal data concurrent transmission is solved.

A data processing method, an apparatus, and a device. The data processing method may be performed by a first communication device, and the first communication device is a transmit end of encoded data. When simultaneously sending one or more data streams, the first communication device places information bits in a data stream in a specified order. A plurality of data streams may be arranged in a specified order, so that joint encoding without feeding back information can be implemented, and transmission close to a channel capacity can be implemented.

The invention discloses an unmanned cluster elastic ad hoc network communication system, a multi-channel routing protocol and a cross-domain segmented transmission method. The system is divided into a core layer network, a backbone layer network, a physical clustering network and a logic clustering network, when a routing protocol is established, a cross-layer design is adopted as multi-path routing, and a plurality of routing links are created through a multi-channel flooding RREQ request; signaling transmission is carried out on a plurality of non-overlapping channels, an intermediate node carries out forwarding through a specific channel, and when the intermediate node arrives at a destination node, multi-channel routing calculation is carried out; the method comprises the following steps of: carrying out link optimization by taking maximization of throughput rate as a target and the expected capacity of a channel, and carrying out reverse transmission on routing information according to a plurality of found routes with non-overlapped nodes and non-overlapped links so as to create or update a routing table. Layered network coverage and flexible networking of the network structure are realized, a multi-channel routing protocol is established, single-transmitting multi-receiving wireless communication is supported, and the possibility of link optimization and path selection is brought to unmanned trunking communication.