132 results about "Channel capacity" patented technology

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 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 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.

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.

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.

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 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.

This invention discloses a reinforcement learning-based method for optimizing the performance of FAS-assisted satellite-to-ground communication. In air-to-ground communication, when the direct path is blocked by obstacles, the signal is transmitted through a mixture of reflection from moving scatterers and the direct path. This invention describes the communication environment between the mobile transmitter and the ground user through geometric stochastic modeling, establishes a dynamic optimization framework based on FAS, couples satellite motion characteristics with adjustable FAS parameters to construct a three-dimensional channel model, designs an improved Memetic PPO reinforcement learning algorithm to dynamically optimize the FAS configuration set at the ground user in the discrete action space through a local search mechanism, and jointly optimizes channel capacity and modeling accuracy to generate the optimal strategy. This method reveals the nonlinear relationship between satellite motion and channel characteristics, significantly improves communication performance in complex obstruction environments, provides a new method for dynamic channel optimization of satellites, and has significant application value.

The present application relates to the technical field of orbital angular momentum order conversion of planar vortex light, and the existing regulation and control technology generates high-order orbital angular momentum vortex light in the out-of-plane free space, which is difficult to realize the high-order orbital angular momentum order conversion of planar vortex light; the present application provides a planar vortex light orbital angular momentum order conversion structure based on a metal plate array, a vortex light source with low-order orbital angular momentum is arranged at the center, after phase modulation of the metal plate array region, the vortex light beam with high-order orbital angular momentum is directly output in the plane without the help of external optical devices or auxiliary phase elements in the free space. The present application has the advantages of simple structure, flexible regulation and control mode, significantly reduced preparation difficulty and cost of the device, and provides a feasible path for the engineering application of OAM multiplexing communication technology, and can be widely applied to in-plane optical communication systems, effectively improves the system channel capacity and integration, and has important practical application value and popularization prospect.

Capacitive sensing system, comprehensive: a sensor switching logic that includes detection lines and sensor channels; an acquisition switching logic that is operationally coupled with the sensor channels, wherein the acquisition switching logic is configured to receive captured signals from the sensor channels indicating one or more capacities at the sensor switching logic, and to provide accumulated spread-coded captured signals in response to the capture signals; and where the acquisition switching logic is configured: to spread-code each of the received captured signals for each channel by applying mutually orthogonal spreading codes, where each bit of a spreading code is either a logical zero or a logical one; and to accumulate spread-coded values ​​for each channel in response to one or more orthogonal spreading codes used to encode each channel; and a digital control system that is operationally coupled with the acquisition switching logic to determine a channel capacity measurement in response to the accumulated spread-coded values.

The application discloses a sparse regression code encoding and decoding method for MIMO multiple access channel capacity domain reachability, which adopts a sparse regression code as a forward error correction code of a system. A random transformation matrix is introduced at an encoding end to perform encoding processing on a block sparse signal, so that an equivalent channel matrix is converted into a universal matrix, thereby ensuring decoding reliability of an MA-OAMP receiver under any channel matrix condition, and overcoming the dependence of a traditional AMP receiver on statistical characteristics of an observation matrix. Encoding of the sparse regression code is performed according to an optimal encoding criterion based on the MA-OAMP receiver, power distribution is reasonably performed on sparse blocks, and a time division technique is combined, so that approximation to the whole MIMO-MAC capacity domain is realized.

The present application relates to a quantum key distribution (QKD) and quantum secure direct communication method. The method is applied to a sender, and comprises: processing plaintext information to be sent, so as to obtain a codeword; encrypting the codeword by means of an encryption key in a key pool, so as to obtain ciphertext; performing encoding processing involving increasing the channel capacity by means of masking on the ciphertext, so as to obtain a codeword which has been subjected to encoding involving increasing the channel capacity by means of masking; using a QKD protocol to process the codeword which has been subjected to encoding involving increasing the channel capacity by means of masking, so as to obtain processing result information, wherein the processing result information enables a receiver to acquire a measurement result on the basis of the QKD protocol; on the basis of the QKD protocol, performing QKD post-processing to acquire a QKD post-processing result; and on the basis of the QKD post-processing result, generating a new key, and storing the new key in the key pool. The present solution can not only complete QKD, but also directly transmit a secret message on a quantum channel, and significantly increases the communication distance and communication speed of quantum secure direct communication.

The invention relates to an optimal channel resource allocation method for an industrial wireless network, and belongs to the technical field of communication. According to the invention, the central control unit (CCU) calculates the next communication moment with the equipment according to the current triggering moment, and the CCU is kept silent between the two communication moments, so that an additional continuous monitoring state is not needed; in the self-triggering control STC, the CCU receives information from all devices at the STC communication moment, the next STC time is calculated, and CCU actuator signals are updated according to the difference of the states of all the devices. According to the invention, through power control and message transmission based on self-triggering control STC, the channel capacity is increased in the presence of interference, so that wireless channel resources are optimized.

Example embodiments of the disclosure relate to methods, apparatuses, and computer readable storage medium for beam quality determination based on Gram matrix of a Multiple Input Multiple Output Channel In the methods, a first apparatus determines a channel matrix based on at least one reference signal. The at least one reference signal is transmitted using at least one transmission beam among a set of transmission beams by a second apparatus and received using at least one reception beam among a set of reception beams by the first apparatus. The first apparatus determines a Gram matrix associated with a channel capacity based on the channel matrix and determines a beam quality for at least one of the at least one transmission beam or the at least one reception beam based on the Gram matrix.

The application discloses a method and system for calculating optimal antenna pattern in a frequency selective channel. The method comprises the following steps: two-dimensional modeling of the antenna pattern in frequency and space; dividing a space region of interest into M*N space regions according to a spherical surface, and the radiation characteristics of the antenna are the same in each space region; establishing the relationship among the antenna pattern matrix, the multipath environment matrix and the channel matrix based on the downlink system of the transmitting end and the receiving end; listing the relationship among the channel capacity, the antenna pattern and the multipath environment in the frequency selective channel; making the antenna pattern with the maximum channel capacity as the optimal antenna pattern, and obtaining an optimization problem by constraining the total power of the transmitting antenna as P; solving the optimization problem to obtain the optimal antenna pattern and determine the power distribution of the transmitting antenna, and giving the optimal antenna directivity in the frequency selective channel; and giving the capacity upper limit that can be reached by the wireless environment in the frequency selective channel.

The invention relates to the technical field of wireless communication and vehicle-mounted multimedia interaction, in particular to a vehicle-mounted station video return and multi-mode audio interaction system, which comprises a service shunting module used for determining a priority label of audio stream data according to an identification result; the channel analysis module is used for evaluating the channel capacity and the interference level of the current time-frequency resource; the power domain distribution module is used for dynamically calculating a power distribution coefficient and dividing the total transmitting power of the vehicle-mounted communication terminal into a first power level and a second power level; the superposition coding module is used for generating multiple layers of superposition signals; the transmission control module is used for directly transmitting the multi-layer superposed signal to a base station side through a radio frequency unit in a scheduling-free transmission mode under the condition that a scheduling request signaling does not need to be sent; according to the method, the competition conflict of high-definition video return and key voice interaction on limited time-frequency resources in vehicle-mounted wireless communication is effectively solved, and efficient concurrency of heterogeneous services is realized.

The application discloses a kind of based on the design method of security wireless communication system of polarization modulation strategy, introduces camouflage image in the process of encoding and decoding and utilizes polarization mask key to encrypt target information, and adopts polarization modulation strategy to send the camouflage image containing encryption information and polarization mask key simultaneously;Target user extracts real target information from the camouflage information received by corresponding decoding strategy, while eavesdropper cannot obtain accurate target information;The method can simultaneously encrypt independent wireless communication in multiple channels with different polarization encoding strategies;By using different polarization mask keys and polarization encoding strategies, the security of the system can be further improved. The encryption scheme proposed integrates computation algorithm encryption and physical layer encryption, has the advantages of high security, large channel capacity, strong camouflage ability, etc., and is expected to play an important role in future secure wireless communication.