228 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 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.

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 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 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 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 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.

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.

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.

This invention discloses a method for predicting the application volume of inter-provincial high-voltage direct current (HVDC) channels based on multi-source fusion and probability, belonging to the field of data processing technology. The method includes the following steps: S1, determining the prediction period and basic parameters; S2, determining the final available capacity based on the basic parameters; S3, calculating energy priority based on the final available capacity; S4, constructing a pass rate prediction model based on the final available capacity; S5, determining the output results for the prediction period based on the pass rate prediction model and energy priority. This invention is the first to model channel capacity calculation as a deterministic optimization problem with physical constraints, combining a probabilistic correction factor for meteorological risk to achieve a hybrid modeling of determinism and stochasticity, supporting risk attribution, outperforming black-box prediction, and improving the application pass rate.

The invention discloses an uplink single carrier subsystem in a heterogeneous MIMO channel environment, and relates to the technical field of wireless data transmission, the uplink single carrier subsystem comprises a transmission data acquisition module, a preprocessing module, a channel characteristic processing module, a channel monitoring module, a channel optimization module and an execution module, the transmission data acquisition module is divided into a channel characteristic unit and a transmission signal unit, wherein the channel characteristic unit is used for collecting multipath fading data and channel data, the transmission signal unit is used for collecting the signal-to-noise ratio of a transmission signal, and the channel characteristic processing module is divided into a multipath fading processing unit and a channel capacity processing unit. According to the system, a data acquisition technology and a neural network algorithm are closely combined with a modern information technology, multipath fading data and channel data are accurately captured, a channel monitoring model is constructed in combination with the neural network algorithm, and real-time and comprehensive monitoring on multipath fading and channel capacity abnormity of a channel is achieved.

Example embodiments of the disclosure relate to methods, apparatuses, and computer readable storage medium for beam quality report based on Gram matrix of a Multiple Input Multiple Output Channel. In the methods, a first apparatus determines a beam quality based on a Gram matrix associated with a channel capacity. The Gram matrix is determined based on a channel matrix associated with at least one transmission beam among a set of transmission beams of a second apparatus and at least one reception beam among a set of reception beams of the first apparatus. The first apparatus also transmits a beam report to the second apparatus based on the determined beam quality.

The application discloses a kind of adaptive pilot transmission methods suitable for FDD Massive MIMO system, utilize the stage stationary nature of channel and divide time-varying non-stationary channel into multiple stationary channel blocks, and respectively carry out coherence time estimation to multiple stationary channel blocks, and the pilot transmission interval currently used is decided by coherence time.The steps mainly include channel correlation estimation and pilot interval selection.The application carries out high confidence interval estimation to channel correlation, controls the error probability of coherence time estimation, and tries to avoid the influence of system throughput caused by overestimation of coherence time;The application estimates coherence time using threshold method, and according to the relationship between threshold and system effective signal-to-noise ratio, the threshold setting method is given, so that the adaptive pilot method can meet the demand of channel capacity for specific task.

The invention discloses a general radio channel modeling method based on full-wave electromagnetic simulation, and the method comprises the following steps: firstly depicting the response of radio channel key components such as a receiving and transmitting end antenna, a wireless transmission channel, a receiving and transmitting end matching network and internal and external noise sources, and the antenna parameters are determined through full-wave electromagnetic simulation; then calculating the total response of each component of the radio channel after cascading according to a cascading multi-port circuit network theory, and obtaining radio channel matrixes in physical significance and information theory significance; and finally, radio channel statistical characteristics and radio channel capacity are analyzed. Compared with an existing wireless propagation channel modeling method, the method has the advantages that topological parameters, radiation parameters and circuit parameters of the antenna are fully considered, and joint modeling of the antenna and the wireless propagation channel is achieved. Based on wireless propagation channel parameters and antenna parameters obtained through full-wave electromagnetic simulation, the radio channel modeling method can support various wireless propagation environments and antenna types.

The invention relates to the technical field of multi-node ranging, and particularly discloses a multi-node ranging method and system based on code division multiple access, and the method comprises the steps: S1, calculating the network complexity, obtaining the bandwidth when the network complexity exceeds a certain range, and calculating the channel capacity; s2, calculating transmission time, calculating a transmission time ratio, correcting the bandwidth based on the transmission time ratio to obtain a corrected bandwidth, and obtaining corrected time; and S3, setting the bandwidth as a modified bandwidth, sending bytes with the same number to the test nodes, obtaining actual transmission time, screening qualified nodes, presetting a byte number gradient, obtaining a ladder coefficient when the requirement is met, sorting the test nodes, retaining efficient nodes and adjusting the corresponding bandwidth as the modified bandwidth. According to the invention, the byte data transmission frequency in the multi-node ranging process can be reduced, the positioning delay is reduced, and the response speed is improved.

The invention discloses a route selection method and device for satellite communication and a storage medium, and is applied to a gateway station, and the method comprises the steps: determining a plurality of satellite clusters in a coverage area, the satellite clusters comprising a first satellite as a cluster head and a plurality of second satellites as cluster members; respectively determining a first time delay, a second time delay, a third time delay and a fourth time delay according to the signal propagation speed; respectively determining a first channel capacity, a second channel capacity, a third channel capacity and a fourth channel capacity; according to the satellite ephemeris, respectively determining a first visual duration, a second visual duration, a third visual duration and a fourth visual duration; and determining a first satellite and a second satellite connected with the terminal equipment according to the genetic algorithm, and determining a routing path between the terminal equipment and the gateway station based on the terminal equipment, the first satellite and the second satellite.

The application provides a modulation method and a communication device, the modulation method uses a first constellation including L constellation points, L=2 Qm , positions of the L constellation points are related to a first set, the first set includes M values, M=2 m , m is a positive number less than Q m , the first value to the T1th value in the first set are an arithmetic sequence with a common difference d1, the T1th value to the T2th value in the first set are an arithmetic sequence with a common difference d2, T1 is greater than 1, T2 is greater than T1 and less than or equal to M, d1 and d2 are different and are positive numbers. Through the modulation method, the overall channel capacity can be improved, and the corresponding modulation and demodulation complexity can be reduced.

The embodiment of the application discloses a WiFi data frame sending method and device, a storage medium and a WiFi device, and relates to the wireless communication field. Through a reasonable initialization process, an MCS serial number adjustment strategy based on different states and data frame types, and time rule judgment, the embodiment of the application effectively solves the problems of low transmission correctness, large channel capacity fluctuation and slow rate recovery after interference disappearance caused by burst interference in the background technology, and improves the performance and stability of the wireless communication system.

This application provides a method, apparatus, and storage medium for determining the selection weight of a beamforming channel. The method includes: determining a first weight coefficient or a second weight coefficient corresponding to a target beamforming channel based on the reference signal received power parameter in the beamforming channel and a beamforming channel selection weight determination model; the first weight coefficient is the weight coefficient of the target user equipment under the target beamforming channel, and the second weight coefficient is the weight coefficient of all paired user equipments under the target beamforming channel after multi-user pairing is completed; the reference signal received power parameter is the first reference signal received power corresponding to the target user equipment, or the sum of the reference signal received power corresponding to all paired user equipments; the beamforming channel selection weight determination model is an optimization model that optimizes the weight coefficients by taking maximizing the channel capacity of the MIMO channel as the optimization objective and using the Kuhn-Tak condition and the average allocation constraint as constraints.

The invention provides a power supply and power transmission channel capacity optimization method, system, equipment and medium, and the method comprises the steps: carrying out the iteration solving of a long-term capacity planning model and a short-term operation simulation model in a double-layer model through a double-layer dynamic iteration mechanism based on a new energy and load typical power curve of a set region, and obtaining a new energy and load typical power curve; obtaining a power supply and power transmission channel capacity optimization configuration scheme; the long-term capacity planning model is constructed on the basis of optimization targets of the minimum total power supply cost in a planning period, the highest power supply reliability under the uncertainty of new energy power generation and the maximum new energy consumption amount; the short-term operation simulation model considers changes of power generation cost of a power supply in a power system, new energy power abandoning penalty cost and load shedding penalty cost, considers multiple optimization targets, deeply couples medium and long-term capacity planning with short-term operation simulation, can adapt to new energy fluctuation and multi-time scale coupling requirements, and improves the simulation efficiency. And thus, medium-and-long-term planning requirements are met.

The application discloses a parallel optical fiber amplifier channel equalization system based on signal power adaptive grading, and is characterized in that: the system further comprises a power detection and grading module arranged in front of the parallel amplifier and used for detecting the input optical signal in real time and dividing the optical signal into several power grades based on a preset or adaptive threshold, and a signal distribution and merging module used for guiding the optical signals of different power grades divided to corresponding parallel amplifier paths and merging the optical signals output by each path after the parallel amplifier completes amplification processing to realize channel power equalization; through power grading and differential amplification, the application reduces the difference value of the output power of each channel, realizes intelligent equalization of multi-channel optical signals, improves system gain flatness, effectively reduces the bit error rate caused by power imbalance, avoids the problems of gain saturation of high-power signals and insufficient gain of low-power signals, and improves channel capacity.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform an access procedure for establishing or reestablishing a connection with a network entity. The UE may transmit, as part of the access procedure, one or more repetitions of a narrowband physical random access channel (NPRACH) preamble to the network entity. Each repetition of the one or more repetitions may include a set of symbol groups, and each symbol group of the set of symbol groups may include a set of symbols used by the UE for transmitting the NPRACH preamble. In some examples, the set of symbols may include a subset of symbols to which an OCC is applied. The set of symbols may be multiplexed with one or more other sets of symbols associated with respective preambles of one or more other UEs.

The application relates to the technical field of wireless communication and vehicle-mounted multimedia interaction, in particular to a vehicle-mounted video backhaul and multi-mode audio interaction system, which comprises the following modules: a service shunting module, which is used for determining the priority label of audio stream data according to an identification result; a channel analysis module, which is used for evaluating the channel capacity and interference level of current time-frequency resources; a power domain allocation module, which is used for dynamically calculating a power allocation coefficient and dividing the total transmission power of a vehicle-mounted communication terminal into a first power level and a second power level; a superposition coding module, which is used for generating a multi-layer superposition signal; and a transmission control module, which is used for directly transmitting the multi-layer superposition signal to a base station side through a radio frequency unit in a scheduling-free transmission mode without sending a scheduling request signaling, so that the competition and conflict of high-definition video backhaul and key voice interaction for limited time-frequency resources in vehicle-mounted wireless communication are effectively solved, and efficient concurrency of heterogeneous services is realized.

The invention discloses a multilayer FSS MIMO antenna integrating line circular polarization conversion and decoupling functions, which comprises two layers of dielectric plates and three layers of metal patch layers, the two layers of dielectric plates and the three layers of metal patch layers are formed by mixed pressing, the three layers of metal patch layers and the two layers of dielectric plates are arranged in a staggered manner, and the metal patch layers are in close contact with the dielectric plates; the antenna further comprises a lower dielectric plate, the bottom plate of the lower dielectric plate is provided with a metal ground layer, the surface of the lower dielectric plate is provided with a patch antenna, the metal ground layer is provided with a feed port, and the feed port is communicated with the bottom surface of the lower dielectric plate. The antenna is applied to the sub-6 GHz frequency band, the functions of linear circular polarization conversion and decoupling are achieved at the same time, high isolation can be kept between 3 * 3 patch array antenna units through metasurface loading, directional diagram distortion is improved, efficiency and gain loss are improved, and energy waste is reduced. After linear circular polarization conversion, the polarization mismatch sensitivity of the MIMO antenna can be reduced, the multipath suppression capability of the MIMO antenna is improved, and the channel capacity of the MIMO antenna is expanded.