161 results about "Non orthogonal" patented technology

The invention discloses a broadband full-Stokes polarization imaging device based on non-orthogonal four-channel polarization beam splitting, which comprises a dielectric substrate, a non-orthogonal polarization beam splitting metasurface and a focal plane detection array, and is characterized in that the non-orthogonal polarization beam splitting metasurface is composed of a plurality of sub-wavelength unit structures; the sub-wavelength unit structure is a single-layer anisotropic medium nano-column array and is configured to perform intrinsic-loss-free non-orthogonal four-channel beam splitting on incident light and form four spatially separated focuses on the same focal plane, and polarization states corresponding to the four channels form a regular tetrahedron measurement base on a Poincare sphere; therefore, full Stokes parameter measurement is completed by four pixels; the sub-wavelength unit structure forms a super-pixel unit, and the super-pixel unit is aligned and integrated with a focal plane detection array in a two-dimensional array form to form a compact polarization camera facing focal plane segmentation. The device is simple in structure, easy to integrate with the CMOS front end, small in device size, low in power consumption and high in mass production feasibility.

The invention provides a Max plug-in assisted video data transmission method and system, and relates to the technical field of video transmission optimizing.The method comprises the steps that a monitoring video stream is analyzed through a Max plug-in, and video content information containing a plurality of semantic areas, associated position identifiers and importance parameters is obtained; generating multiple paths of coding code streams by using different coding strategies according to the importance parameters, and obtaining a composite code stream through bit field non-orthogonal multiplexing; transmission resources and coding parameters are dynamically adjusted in combination with real-time network states and importance parameters during transmission; and a receiving end decodes and recovers the video data through sequential interference elimination, and finally, the Max plug-in drives the digital twinning scene to realize differentiated three-dimensional rendering presentation according to the recovered data and the associated position identifier and importance parameter, so that efficient transmission of the monitoring video data and differentiated three-dimensional rendering presentation of the digital twinning scene can be realized.

The invention discloses a non-orthogonal polarization MIMO (Multiple Input Multiple Output) communication system, which belongs to the technical field of wireless communication and comprises a serial-parallel conversion and precoding module, a signal distribution network, a transmitting channel, a non-orthogonal transmitting array antenna, a non-orthogonal receiving array antenna, a receiving channel, a signal merging network and an MIMO signal detection module, a non-orthogonal transmitting antenna unit is arranged in the non-orthogonal transmitting array antenna, and a non-orthogonal receiving antenna unit is arranged in the non-orthogonal receiving array antenna. According to the invention, parallel transmission of multiple paths of signal streams can be realized under various channel conditions, and the transmission rate and the spectrum utilization rate of the system are improved.

The present disclosure relates to a method for transmission in a hardware impairment-based intelligent reflecting surface (IRS)-assisted non-orthogonal multiple access (NOMA) network, including: constructing an NOMA network system assisted by an IRS; constructing a base station transmission power minimization model based on a user quality of service (QoS) constraint, a successive interference cancellation (SIC) constraint, and a reflective phase shift constraint; solving the base station transmission power minimization model to obtain an optimal transmission scheme, and controlling the NOMA network system to transmit according to the optimal transmission scheme; the base station transmission power minimization model including an active beamforming vector optimization sub-problem and a passive beamforming vector optimization sub-problem.

The present disclosure provides a random access method. A method according to an embodiment of the present disclosure, performed by a terminal using an asynchronous grant-free non-orthogonal multiple access scheme, may comprise the steps of: acquiring random access preamble generation information from a base station; generating a primary random access preamble on the basis of the random access preamble generation information; and transmitting the generated primary random access preamble to the base station.

The invention belongs to the technical field of wireless communication, and particularly relates to a communication sensing integrated system based on non-orthogonal AFDM (Alternating Frequency Division Multiplexing). According to the system, a bandwidth compression factor is introduced into an AFDM framework to construct a non-orthogonal waveform, and controllable overlapping between chirp subcarriers is realized, so that the spectrum utilization rate is improved, and the robustness of the system under a high-speed dynamic channel is enhanced. And a receiving end realizes reliable information recovery through maximum likelihood detection, and processes echo signals in combination with a two-dimensional parameter estimation algorithm so as to realize high-precision sensing of the target distance and speed. The system has good anti-Doppler capability and perception precision performance, and is suitable for communication perception fusion application in a high-speed mobile scene.

The application discloses a kind of multi-dimensional multiple access and lightweight continuous authentication combined design system.The combined design system is based on non-orthogonal multiple access technology, explores multiple domains of device access, describes the access time sequence of multiple users, sub-channel and power allocation as a joint optimization problem, improves the communication performance of system while guaranteeing the continuous identity authentication of multiple devices.The system uses the unique access time sequence and channel generated by the user in advance to realize the simultaneous verification of multiple users at the base station end;While guaranteeing the continuous authentication of multiple users, the communication performance of the system is improved by optimizing their channel and power allocation.The system provides a fast network access and continuous authentication scheme for devices, which can be widely applied in wireless communication scenarios.

An apparatus serves a plurality of user equipments in a wireless communication system. For transmitting / receiving data of a plurality of user equipments, which include at least a first user equipment and a second user equipment, on resources shared by the plurality of user equipments, the apparatus transmits / receives a first data signal of the first user equipment and second data signal of the second user equipment using a non-orthogonal multiple access, NOMA, scheme. The first data signal and the second data signal are modulated using different waveforms prior to superposition of the first and second data signals.

The invention provides a wireless communication method and communication equipment. The method comprises: a first device sends a target signal to a second device on a target transmission resource, the target signal comprising a first signal and a second signal which are non-orthogonally transmitted. The embodiment of the invention provides a wireless communication method, in which non-orthogonal transmission can be performed between a first signal and a second signal on the same transmission resource (also known as a target transmission resource). Compared with a traditional signal transmission scheme in which the first signal and the second signal are transmitted in an orthogonal transmission manner by occupying different transmission resources, the utilization rate of the transmission resources can be improved.

The application discloses a lightweight deep receiver construction method and system, a receiver, equipment and a medium, wherein the construction method comprises the following steps: constructing a MU-MIMO OFDM uplink transmission system based on non-orthogonal superimposed pilot transmission to obtain an original training data set; constructing a lightweight deep receiver, wherein the lightweight deep receiver is based on time domain shift and frequency domain shift operations; and performing multiple iteration model training and convergence on the lightweight deep receiver by using the original training data set. By designing an uplink transmission system based on non-orthogonal superimposed pilot transmission to enhance the frequency spectrum usage rate, and then constructing a lightweight deep receiver based on time domain shift and frequency domain shift to perform model training, since the pilot structure is stable and the data symbols are random, the shift operation effectively enhances the separability of the two, so that the lightweight deep receiver can realize the decoupling of data and pilot in the non-orthogonal superimposed pilot scene, and the decoding accuracy of the data stream is significantly improved.

The invention relates to a communication method and device based on the non-orthogonal multiple access technology and communication equipment, and the method comprises the steps: obtaining the current channel state information of a plurality of user terminals in an NOMA system, and then dynamically distributing corresponding target power for each user terminal according to the current channel state information of the plurality of user terminals, and finally, determining a plurality of user signals according to the target power of each user terminal and the modulation signal until the data transmission rate of the NOMA system is greater than a preset rate threshold value, and respectively sending the plurality of user signals to the plurality of user terminals through user equipment in the NOMA system so as to indicate each user terminal to communicate based on the corresponding user signal. In the method, the power is dynamically allocated to each user terminal according to the real-time channel state information, so that each user terminal can communicate based on the optimal signal power while the transmission performance of the NOMA system is ensured, and the communication efficiency of the NOMA system is further improved.

The invention provides a wireless communication method, system and device based on fusion of a bidirectional intelligent metasurface and non-orthogonal multiple access of a movable element. The method comprises the following steps: receiving a superposed signal sent by a base station; based on a preset constraint condition, calculating the historical channel state information through a preset operation optimization algorithm to generate a driving instruction; according to the driving instruction, driving each movable element to move to a target position; electromagnetic regulation and control are carried out on the received superposed signal to generate an electromagnetic regulation and control signal, and the electromagnetic regulation and control signal is transmitted to the user terminal; the user terminal converts and decodes the electromagnetic regulation and control signal to generate a user data stream; and enabling the user terminal to estimate the current channel state based on the current user data flow, and generating and outputting updated channel state information. According to the method, the layout form of the metasurface can be dynamically optimized, and higher anti-interference capability and better multi-user fairness are realized while the performance is ensured to approach global optimum.

The invention relates to the cross technical field of wireless communication and intelligent agriculture, in particular to a NOMA-SIC uplink weighting and rate maximization method based on an unmanned aerial vehicle (RIS), and the method comprises the steps: constructing an uplink system composed of a fusion center, an unmanned aerial vehicle reconfigurable intelligent surface and a sensor node, and enabling the fusion center to employ a continuous interference elimination technology, and realizing multi-user concurrent transmission based on power domain multiplexing of non-orthogonal multiple access. According to the method, fractional programming, quadratic transformation and successive convex approximation technologies are jointly used, phase configuration of the RIS and sensor transmitting power are alternately optimized, beam forming vectors are received by a fusion center, and under the condition that the power, phase and service quality constraint conditions are met, the system weighting sum rate is maximized. The advantages of NOMA spectrum multiplexing and SIC interference elimination are brought into full play, the transmission reliability and the spectrum efficiency are remarkably improved, and the method is suitable for low-delay and high-reliability acquisition of intelligent agricultural large-scale sensor data and can be expanded to the scenes of industrial Internet of Things, emergency communication and the like.

A system and method for combining and separating non-orthogonal signals. A transmitting component includes a set of generators of non-orthogonal signals and an adder for forming a group mixture. A receiving component includes a band-pass selective filter, an analog-to-digital converter and a calculator-solver for separating signals or channels. The system and method are designed to provide an almost ideal channels separation due to a new original group mixture processing procedure performed by the calculator-solver. The system and method provide significant increase in noise-immunity and the achievement of transmission rates that are exceeded the Shannon's Capacity of the group path.

A wireless communication method includes: transmitting, by a first device, first information to a second device. The first information is used for determining a first reception mode matching a first transmission mode; and the first transmission mode is used for non-orthogonal transmission of a first signal on a target transmission resource, and the first reception mode is used for receiving the first signal on the target transmission resource.

This invention proposes a downlink adaptive nonorthogonal multiple access method for satellite-ground converged networks. By integrating promising cognitive radio and nonorthogonal multiple access technologies, this invention proposes an adaptive dynamic multiple access technology based on spectrum sharing to match the uneven distribution and time-varying characteristics of service demands and available spectrum resources in ISTCN, thereby improving spectrum utilization and access density.

This invention discloses a method and apparatus for resource allocation in a non-orthogonal multiple access system assisted by a fluid antenna, relating to the fields of wireless communication and power transmission technology. The method includes: S1 constructing a non-orthogonal multiple access system assisted by a fluid antenna; S2 determining a transmission channel model; S3 constructing an objective function; and S4 analyzing the objective function based on a genetic algorithm to obtain power allocation results. The introduction of a fluid antenna and optimization of the non-orthogonal multiple access system, maximum ratio combining, and power allocation coefficients significantly improve the overall performance of the non-orthogonal multiple access system. The spatial freedom provided by the fluid antenna effectively enhances channel quality, resulting in a significantly lower overall system outage probability compared to traditional fixed antenna systems, while also ensuring fairness between the two users in the system. The power allocation coefficient solution method based on a genetic algorithm solves problems that traditional gradient-based optimization methods cannot address, enabling the system to exhibit superior system outage probability under different antenna port numbers and antenna conditions.

The invention provides a positioning method and a positioning system for an optical fiber heterogeneous communication network, and relates to the technical field of communication. The method provided by the invention comprises the following steps: constructing a heterogeneous communication network based on an ultra wide band and a non-orthogonal multiple access technology, and constructing a positioning model based on the ultra wide band, a distance measurement technology and an angle measurement technology; constructing a multi-objective optimization model based on the network performance indexes, and solving the multi-objective optimization model based on the improved multi-objective wolf pack algorithm iteration to obtain an optimal path; if the positioning model fails, performing space-time modeling and feature fusion on the historical trajectory of the node and the connection state of the node based on a space-time gating network model to obtain a space-time feature vector, and generating prediction positioning information of the node based on the space-time feature vector; fusing the positioning information obtained by the positioning model and the predicted positioning information, and obtaining final position information based on a least square method; and uploading a network positioning report in real time based on the optimal path. According to the invention, adaptive networking and network positioning are realized through the method.

The invention relates to the technical field of throughput of an intelligent power grid, a large number of Internet of Things nodes are integrated along with each link of a power grid system from power generation to a terminal user, and rapid increase of the number of the nodes and data acquisition of exponential increase of the nodes bring a great challenge to guarantee of reliable and low-delay communication access under scarce spectrum resources; the invention provides a throughput improving method based on attention-driven reinforcement learning in a smart power grid, and the method comprises the steps: setting an energy residual variable for secondary equipment which employs cognitive and non-orthogonal multiple access and has an energy harvesting function (EH-CR-NOMA); a long-term throughput maximization problem of secondary equipment in a smart power grid is converted into selection of transmission power and time allocation factors of the secondary equipment in each time slot and energy residual maximization of each time slot, and an attention layer is introduced; the diversity of agent action selection of an optimization object in a deep reinforcement learning algorithm is improved, and the channel state information value is extracted when the environment is changed.

A transmitter in a wireless communication network includes a bits-to-symbol mapper that produces a plurality of data symbols; and a waveform modulator that receives a first discrete-time waveform and at least a second discrete-time waveform that comprises a cyclic shift of the first discrete-time waveform; modulates a first one of the plurality of data symbols onto the first discrete-time waveform and modulates a second one of the plurality of second data symbol onto the second discrete-time waveform, to produce a plurality of modulated discrete-time waveforms; and sums the plurality of modulated discrete-time waveforms to produce a modulated discrete-time signal to be transmitted in the network. The first discrete-time waveform and at least the second discrete-time waveform are multicarrier signals.

The invention discloses a decoding method and decoding device for a redundant rotary transformer, and the method comprises the steps: demodulating a voltage induction signal outputted by the rotary transformer through employing an excitation matrix, and obtaining a voltage demodulation signal; performing error compensation on the voltage demodulation signal through a linear neural network to obtain a voltage result signal; and obtaining the rotor angle position of the redundant rotary transformer according to the voltage result signal, and adjusting the weight coefficient based on the current voltage result signal and the rotor angle position obtained last time. According to the decoding method and the decoding device for the redundant rotary transformer, the envelope is directly extracted through the excitation matrix, so that the time delay of a traditional filtering link is avoided; closed-loop online learning is realized through a linear neural network and a software phase-locked loop, and amplitude imbalance, phase non-orthogonality and direct-current bias errors can be eliminated; the weight coefficient is adjusted by combining the angular position of the rotor, the calculation precision of the rotation angle of the rotor and the dynamic response of the system are improved, and the robustness of the system is ensured.

The application provides an adjustable power distribution method suitable for 6G non-orthogonal mobile communication, which comprises the following steps: setting a 6G non-orthogonal mobile communication environment and constraint conditions; according to the set environment and constraint conditions, establishing an optimization problem of maximum spectrum efficiency of a user group and an optimization problem of maximum energy efficiency of the user group and solving the optimization problems to obtain a maximum value of the spectrum efficiency and a maximum value of the energy efficiency; according to the maximum value of the spectrum efficiency and the maximum value of the energy efficiency, establishing an optimization problem of maximum comprehensive efficiency fairness of the user group and solving the optimization problem to obtain total transmission power and a power distribution coefficient of a terminal; and according to the total transmission power and the power distribution coefficient of the terminal, calculating power distributed to each terminal, a spectrum efficiency value, an energy efficiency value and a fairness measure value, and completing power distribution. The application has the advantages of clear structure, strong adaptability and autonomous execution, better meets the demand of 6G network construction and operation and maintenance and academic research, and has high practical value and popularization.

The invention discloses a two-phase open-circuit fault-tolerant control strategy under a minimum copper loss constraint of a dual three-phase SynRM, and the strategy comprises the steps: respectively deducing the synthetic magnetomotive force of a residual winding, constructing a quadratic optimization model with linear constraint, and optimizing the current amplitude for the open-circuit faults of orthogonal and non-orthogonal two-phase windings, so as to enable the direction of the synthetic magnetomotive force to meet the requirements; establishing a static coordinate and a rotation transformation matrix after the fault, and performing orthogonality correction; a virtual voltage vector is synthesized based on weighted superposition of the original vectors, and a corresponding virtual voltage vector set is constructed for the two faults; and on the basis of the corrected transformation matrix and the virtual voltage vector set, constructing a voltage vector distribution diagram and a switch table in a fault state, dividing an alpha-beta subspace into 16 sectors, and selecting an optimal virtual voltage vector to realize accurate control of the flux linkage amplitude and the electromagnetic torque. Stable operation of the motor can be maintained, and the fault-tolerant capability and the operation reliability of the system are remarkably improved.

The application belongs to the technical field of communication, and particularly relates to a non-orthogonal multiple access system physical layer security communication method based on meta-reinforcement learning. The application comprises the following steps: constructing a power allocation optimization objective function for maximizing system physical layer security and rate, wherein the case of multiple eavesdroppers eavesdropping information is considered; and using a meta-reinforcement learning network to perform security encryption on the system physical layer, so as to realize non-orthogonal multiple access system physical layer security communication. The application overcomes the defects of the existing power allocation method based on deep reinforcement learning, solves the problem that the prior art cannot be applied to a changing channel environment and is thus difficult to be practically applied, and improves the security of the non-orthogonal multiple access system physical layer.

This invention discloses a method for optimizing the average information age (AoI) of mobile edge computing based on AARIS. The method includes: obtaining a deep hybrid strategy gradient (DHPG) algorithm; constructing a mobile edge computing communication model, an information age model, and a system energy consumption model based on the Airborne Active Intelligent Reflector (AARIS) and Non-Orthogonal Multiple Access (NOMA); and constructing a minimum system average information age objective function and constraints to improve the freshness and timeliness of information in the mobile edge computing communication system. This invention reduces the system's average information age (AoI) by constructing a collaborative communication model between the Airborne Active Intelligent Reflector (AARIS) and NOMA, combined with the deep hybrid strategy gradient (DHPG) algorithm to optimize UAV trajectories and beamforming. This effectively ensures data timeliness in real-time scenarios such as autonomous driving and significantly improves information freshness.

The application provides a method and device for information transmission, the method comprising: a terminal device sending a sequence belonging to a first sequence set to a network device, the sequences in the first sequence set being related to each other; and the network device performing sequence detection on a received signal according to the first sequence set to obtain at least one sequence sent by at least one terminal device. Meanwhile, the application also provides a sequence generation method for sequence modulation and an example of a first sequence set comprising sequences of different lengths, so that more sequences can be provided under the condition of a certain length, thereby supporting more users. The method and device of the application can realize access and information transmission of a large number of users under the premise of ensuring detection effect by simultaneously performing user detection and sequence detection by using non-orthogonal sequences with less correlation in the field of signal processing.

The application provides a Max plug-in assisted video data transmission method and system, relates to the technical field of video transmission optimization, and comprises the following steps: Max plug-in is used to analyze and monitor a video stream, video content information containing a plurality of semantic areas and associated position identifiers and importance parameters is obtained, a plurality of encoding code streams are generated by using different encoding strategies according to the importance parameters, a composite code stream is obtained through bit domain non-orthogonal multiplexing, transmission resources and encoding parameters are dynamically adjusted in combination with real-time network states and the importance parameters during transmission, video data is recovered through sequential interference cancellation decoding at a receiving end, and finally, a Max plug-in drives a digital twin scene to realize differential three-dimensional rendering and presentation according to the recovered data and the associated position identifiers and the importance parameters, so that efficient transmission of monitoring video data and differential three-dimensional rendering and presentation of the digital twin scene can be realized.

The invention provides an intelligent resource scheduling method for a non-orthogonal multiple access backscattering system, which relates to the technical field of wireless communication, and comprises the following steps: S1, constructing the non-orthogonal multiple access backscattering system, enabling all cells of the system to share the same spectrum resource, enabling all labels in the cells to perform uplink communication in an NOMA mode, and enabling all labels in the cells to perform uplink communication in an NOMA mode; a receiving end of the system adopts an SIC to carry out signal decoding, and each label receives excitation signals sent by all readers of the system; s2, constructing an optimization problem; and S3, converting the optimization problem into a Markov decision process, adopting a centralized training distributed execution framework, and introducing a federated average algorithm based on the framework to obtain a resource scheduling strategy. According to the method, the maximization of the system and the rate can be realized in an imperfect CSI scene, and the robustness and the training efficiency are enhanced.