58 results about "Multiuser system" patented technology

The invention provides a resource management method and device, electronic equipment and a storage medium, the method is applied to the field of terminals, and the method comprises the following steps: in a multi-user operating system, responding to a system resource management instruction received by a performance optimization main program in a main user space; the method comprises the steps of determining first resource use data of a main user space based on a performance optimization main program, calling a performance optimization agent process based on the performance optimization main program, determining second resource use data of a sub-user space, and optimizing system resources of a multi-user operating system based on the first resource use data and the second resource use data. Therefore, one-stop management of multi-user system resources is achieved, the response speed and efficiency of the whole system are improved, and resource consumption is reduced.

A method and system are provided for scheduling data transmission in a Multiple-Input Multiple-Output (MIMO) system. The MIMO system may comprise at least one MIMO transmitter and at least one MIMO receiver. Feedback from one or more receivers may be used by a transmitter to improve quality, capacity, and scheduling in MIMO communication systems. The method may include generating or receiving information pertaining to a MIMO channel metric and information pertaining to a Channel Quality Indicator (CQI) in respect of a transmitted signal; and sending a next transmission to a receiver using a MIMO mode selected in accordance with the information pertaining to the MIMO channel metric, and an adaptive coding and modulation selected in accordance with the information pertaining to the CQI.

The invention discloses a precoding matrix optimization method based on a multi-user MIMO system, and the method comprises the steps: obtaining a channel matrix through a base station channel estimation module, and defining a non-convex optimization problem of multi-user precoding; converting a non-convex optimization problem into a quantum annealing solvable secondary unconstrained binary optimization model, and dynamically reflecting a channel interference relationship through quantum bit coupling strength; designing a post-processing algorithm, compensating quantum hardware noise by using gradient descent and a nonlinear function of a power amplifier, and optimizing an output pre-coding matrix; the method overcomes the limitation that a traditional method is prone to falling into local optimum in non-convex optimization, can adapt to complex interference scenes in real time, and is suitable for a current 5G environment and a future wireless communication system.

The invention provides an 802.11 be multi-user system receiver signal-to-noise ratio estimation method, device and equipment and a medium, and the method does not only depend on a limited number of pilot frequency subcarriers in a frequency resource unit where a target user is located any more, but analyzes and verifies an EHT-SIG field to estimate the signal-to-noise ratio of the target user. And a plurality of frequency resource units whose cyclic redundancy check results are verified to be correct are screened out, and all pilot frequency subcarriers contained in the reliable frequency resource units are combined to be jointly used for estimation. According to the method, a plurality of cyclic redundancy check results are combined to check all reliable pilot frequency subcarriers in a correct frequency resource unit to estimate the signal-to-noise ratio, so that the sample cardinal number of noise power estimation is remarkably increased; the problem of low estimation precision caused by too few pilot frequency subcarriers of a single user due to dynamic allocation in an 802.11 be multi-user system is effectively solved, so that the overall accuracy of signal-to-noise ratio estimation is improved.

A multi-user system (1) comprising a first large-size display (110) at a first location (100) and a second display (210) at a second, remote, location (200). A tracking module (140) identifies skeletons of users (120, 130) at the first location (100) and determines respective locations of interest (g, h) in the first display (110). Awareness cues (AC120, AC130) are built and transmitted to the second display (210) to adequately convey behavioral information to the second location (200). (Figure 1)

The application discloses a fluid antenna assisted ISAC system joint beam forming and position optimization method based on a quantum particle swarm optimization algorithm. Specifically, an ISAC multi-user system model equipped with a two-dimensional fluid antenna is established, and a beam forming optimization problem is constructed; a weighted least mean square error algorithm is used to convert a communication and rate target function, so that a complex fractional problem is converted into an integral problem, and solving is simplified; an alternating optimization algorithm is used to decompose the original joint optimization problem into multiple sub-problems; an auxiliary variable and a receiving beam former are alternately solved, an iterative solution of a beam forming vector is solved by using a successive convex approximation algorithm, and a fluid antenna position problem is solved by using a quantum particle swarm optimization algorithm. The method of the application effectively improves the communication and rate under the restrictions of the fluid antenna position, the minimum perceived beam pattern gain and the maximum base station transmission power, and is superior to a traditional ISAC system equipped with a fixed antenna.

The present application provides a task offloading method and device based on frequent application set traffic scheduling. The method is based on a multi-user MEC system composed of MEC servers, base stations, and terminal users. First, a partial offloading model is designed based on a real application usage data set, and the application is regarded as the smallest unit in the task offloading process, and the association rules between applications are mined; the association rules are used together with the terminal user node status information to formulate MEC data pricing strategies, regulate the terminal user partial offloading strategies and evenly allocate system resources; under the premise of considering the system capacity constraints, the MEC system profit maximization problem is formulated as a nonlinear programming problem; and the relationship between MEC servers and terminal nodes is simulated through a Stackelberg game model to maximize the profit of the MEC server while preventing network congestion problems.

The invention discloses a multi-user system-level simulation method for a high-dynamic Internet of Vehicles, and provides an efficient and reliable simulation solution for design and performance evaluation of an Internet of Vehicles system. Triggering and processing of various events are achieved by adopting a discrete event mechanism, moving events are periodically triggered at the beginning of each discrete simulation time step, the position and channel state of each vehicle and the connection relation between the vehicle and a base station are updated, traffic events are triggered based on preset data traffic, and data packets are generated and distributed; a multi-user access dynamic resource allocation algorithm is adopted to allocate time-frequency resources for each vehicle user; the vehicle user obtaining the resource allocation triggers and executes an event processing chain including a transmission event, a channel event, and a reception event. According to the method, the dynamic communication process between the vehicle and the base station can be simulated, the research requirement of the Internet of Vehicles system is met, and meanwhile, the multi-user access method can be suitable for different types of communication requirements and scenes to optimize the overall performance of the system.

The invention provides an energy consumption prediction method for a multi-user energy system. The method comprises the following steps: acquiring historical energy consumption data of multiple users on multiple energy devices of the energy system; segmenting the historical energy consumption data into historical energy consumption time sequence data according to users; predicting the total energy consumption of the energy system as a main task, predicting the energy consumption of a single user as an auxiliary task, and training an energy consumption prediction model by using the historical energy consumption time sequence data of the user according to a multi-task learning mode and an attention channel mechanism; the energy consumption prediction model predicts the total energy consumption of the multi-user energy system based on the real-time energy consumption data of multiple users on the energy equipment of the energy system.

A method includes logically partitioning an antenna panel of a base station into multiple subpanels. The method also includes identifying multiple user groups for multi-user multiple-input multiple-output (MU-MIMO) spatial multiplexing, each user group comprising one or more user equipments (UEs). The method also includes assigning the user groups to the subpanels. The method also includes transmitting to the UEs via the subpanels, wherein each user group is served by one subpanel of the multiple subpanels.

This application discloses a selection method and apparatus for a multi-user system, belonging to the field of communication technology. The method is applied to an electronic device with at least two screens, comprising: displaying first information of multiple users pre-set by the user on the second screen of the electronic device while the first screen of the electronic device is in a locked state; receiving a first input to the first information; and, in response to the first input, displaying the system desktop of the first user corresponding to the first information, wherein the first information includes at least image information, and the first information is different for different users.

The invention discloses a joint channel estimation method for a multi-user HMIMO system, belongs to the technical field of 6G wireless communication, and is applied to the aspect of holographic MIMO channel estimation. The implementation method comprises the following steps of: 1, constructing a system model for HMIMO multi-user channel estimation, and obtaining an input and output relationship between an HMIMO channel model and a wavenumber domain; 2, normalizing the binary support vector to form a joint probability on an undirected graph; 3, acquiring a common support set; 4, obtaining a support vector of a single user assigned by a common support set of the joint channel; 5, traversing and updating the binary support vector of the single user, optimizing the input and output relation of the wavenumber domain of the HMIMO system by utilizing joint probability distribution, and obtaining wavenumber domain channel estimation under the minimum residual error of the single user by adopting a loop iteration mode; 6, joint channel estimation of the multi-user HMIMO system is obtained; compared with the prior art, the estimation precision and the convergence speed of channel estimation are improved.

The invention discloses an ITS and STAR-RIS collaborative physical layer key generation method and device. According to the method, an MISO multi-user system model comprising a single-antenna access point, a transmitter side ITS and a user side STAR-RIS is constructed; wherein the ITS is used for replacing a traditional antenna array and realizing beam forming of signals, and the STAR-RIS is used for reconstructing a total space channel and serving users in a transmission region and a reflection region. The device obtains channel state information by using channel reciprocity, and constructs a joint optimization problem of maximizing a system key and a rate. Solving by adopting an alternating optimization algorithm: when the ITS is fixed, optimizing an STAR-RIS amplitude vector by utilizing Lagrange dual transformation, secondary transformation and a semi-definite relaxation technology; when the STAR-RIS is fixed, the optimal beam forming vector of the ITS is obtained through the Rayleigh entropy theorem and the full-amplitude transmission strategy, the problems of signal attenuation and coverage blind areas in the deep shielding environment are effectively solved, and the physical layer key generation rate and the communication safety are remarkably improved.

The invention discloses a single-cell millimeter wave downlink multi-user MIMO (Multiple Input Multiple Output) system hybrid beam forming method based on GPU (Graphics Processing Unit) optimization, and relates to a wireless network technology. The method comprises the following steps: firstly, constructing a system model, establishing an optimization problem with maximization of total spectrum efficiency as a target, introducing an auxiliary variable and a WMMSE algorithm, and equivalently converting the optimization problem into an augmented Lagrangian problem adaptive to a PDD algorithm; an iteration variable is quantized from FP32 to FP16 through a GPU, a variable updating sub-problem is divided into parallel modules without data dependence, and parallel iteration of internal circulation is achieved by adopting multi-stream asynchronous parallel and CUDA kernel function design of a single user corresponding to a single thread block; performing inverse quantization after iterative synchronization to recover precision, judging internal convergence and calculating a coupling constraint violation degree, and updating a dual variable or a penalty parameter and a constraint threshold value according to the degree; and finally, outputting an optimal analog precoding matrix and an optimal digital precoding matrix during external cyclic convergence. And the real-time communication requirement of the millimeter wave multi-user MIMO system is met.

The application designs an uplink multi-user MIMO precoding transmission method based on clustering, which can adaptively adjust the codebook structure according to the transmission environment by using the statistical characteristics of the channel. The method first needs to sample the channel state information in a period of time, calculates the optimal precoding matrix using the iterative precoding algorithm, and then uses the clustering method to train the precoding codebook suitable for the uplink multi-user MIMO system on the data set, and synchronously deploys the codebook at the base station and the user end. In the transmission, the method is based on the distance between the code word and the optimal precoding matrix to greedily search the codebook. The precoding codebook designed by the method can adapt to the change of channel characteristics, and has better performance than the classic codebook. The greedy strategy for codebook search reduces the complexity of online calculation, and is more suitable for use in actual systems.

The invention provides a multi-user system authority management method and system applied to a micro-service architecture, a medium and a computer program product, belongs to the field of authority management, and solves the problem of how to perform multi-user system authority management under the condition of not modifying an authority system. The method comprises the following steps: receiving a micro-service login request sent by at least one user system through an account password for the first time after registering a login interface as a micro-service by modifying configuration file information; annotating role information generated by the user system in the micro-service through the configuration file information; after the account password is verified to be correct, marking the annotated role information as legal information, and allocating role permission; generating and returning a token for requesting resource data to the user system; and when the user system requests to access the resource data through the token, the user system can only request the resource data corresponding to the role permission carried by the token. The authority system of the user system does not need to be modified during authority management of the multi-user system.

The invention belongs to the technical field of computers, and discloses a hardware resource allocation method and system for a virtualized multi-user system, and the method comprises the steps: obtaining a runtime performance index sequence of a target virtual equipment node in real time in an intermediate layer driver; inputting the sequence into a pre-trained disturbance sensitivity prediction model, and outputting a prediction probability value of performance disturbance of the node in a future prediction time window; generating a targeted hardware resource redistribution instruction based on the prediction probability value and a predefined strategy mapping rule; and finally, executing the instruction through the intermediate layer driver, and dynamically adjusting the actual occupation of the node on the bottom layer heterogeneous hardware resources. According to the method, active prediction and pre-intervention of the performance disturbance risk are realized, delay fluctuation and mutual interference during parallel execution of multiple containers are effectively reduced, and the stability and certainty of task execution in a virtual environment are improved.

Methods, systems, and devices for wireless communication are described. Some systems can support digital post-distortion (DPoD) processing at a base station. In some such systems, a user equipment (UE) can process a data message for transmission, where a resulting signal associated with the data message includes a non-linear characteristic that is processed by DPoD at a receiver side. The non-linear characteristic can cause signal leakage into out-of-band (OOB) resources, potentially causing interference. In some examples, the UE can transmit the data message to a base station in a multi-user system. To support mitigation of non-linear interference on signaling to other UEs, the UE can additionally transmit a pilot signal in OOB resources (e.g., in addition to in-band resources), where non-linearities can be expected to negatively impact other communications. The base station can use the OOB pilot signal to perform channel estimation and interference mitigation.

The utility model discloses a multi-user QKD system based on OCC codes. The system comprises a sender and a plurality of receivers. The sender comprises an optical signal generator, an OCC code generator and a modulator; the receiver comprises an optical signal receiver and a demodulator. The utility model discloses a multi-user QKD (Quantum Key Distribution) system based on an OCC (Optical Code Code), which realizes one-to-many multi-user QKD communication by utilizing the OCC (Optical Code Code), better reduces crosstalk among multiple access information, can improve the multi-user capacity with the maximum capacity, and uses the same frequency band to carry out QKD communication in the same channel by utilizing the OCC and a code division multiplexing technology. The system has the advantages of high spectrum utilization rate, large system capacity, strong anti-interference capability and the like, does not occupy too many channel resources, is simple in structure and has expansibility.

This invention discloses an optimization method for maximizing security and rate in a RIS-assisted uplink multi-user system under non-ideal CSI (Content Security Interference System), relating to the field of communication technology. The method includes: constructing a multi-user cooperative interference physical layer secure communication model under non-ideal CSI; constructing a system security rate maximization problem; introducing rate auxiliary variables and interference power auxiliary variables to decouple the objective function in the system security rate maximization problem and transforming the fractional constraints in the system security rate maximization problem; constructing an alternating optimization framework to decompose the system security rate maximization problem after introducing rate and interference power auxiliary variables into a first subproblem, a second subproblem, and a third subproblem, which are then solved separately; the subproblems converge iteratively, outputting a suboptimal system resource scheduling strategy. Compared with existing technologies, this invention achieves a dual improvement in performance and practicality through innovative model construction, problem reconstruction, and algorithm design.

The invention belongs to the field of wireless communication, and discloses a pre-coding method for a multi-user MIMO-OTFS system. The method comprises the following steps: establishing an optimization problem according to a pre-coding matrix, a complete channel matrix, a system noise variance, a user weight and a total transmitting power constraint in a multi-user MIMO-OTFS communication model; a complete channel matrix in the optimization problem is approximated to be an LoS path approximation channel matrix, a matrix SVD is obtained, precoding matrix design is carried out based on a right singular matrix in an SVD decomposition result, and a directional component and a power component are included; substituting the designed precoding matrix into an optimization problem, constructing a sub-optimization problem about the power component and the complex gain of each sub-channel, optimizing the transmitting power of each sub-channel, and outputting the optimal power component; and constructing a final precoding matrix according to the direction component and the optimal power component. According to the method, efficient utilization of system resources can be realized, and the calculation complexity can be greatly reduced while the WSR performance is ensured.

The invention discloses an RIS auxiliary downlink URLLC beam forming method with discrete phase shift, which relates to the technical field of wireless communication, and comprises the following steps: S1, constructing an RIS auxiliary downlink multi-user MISO URLLC system model; s2, constructing a BS transmission power minimization problem model based on a communication theory and an optimization theory, and improving the model through parameter replacement and problem conversion; s3, introducing a first variable, converting an integer constraint and a non-convex constraint into an easy-to-process form, and rewriting the optimization problem model through a penalty method; s4, based on variable decoupling conversion non-convex constraint, adopting an S lemma and an SCA technology to propose an AO algorithm; and S5, based on the single optimal solution generated in the step S4, solving a suboptimal solution of the original problem beam forming through iterative convergence. According to the method, the problem of RIS-assisted multi-user MISO URLLC beamforming optimization is solved, the influence of RIS unit discrete phase shift on beamforming is also considered, and it is proved that under the influence of 2-bit quantization resolution, the ideal RIS unit performance is approached with small performance loss.

The application discloses a RIS-aided downlink URLLC beamforming method with discrete phase shift, relates to the technical field of wireless communication, and comprises the following steps: S1, constructing a RIS-aided downlink multi-user MISO URLLC system model; S2, based on communication theory and optimization theory, constructing a BS transmission power minimization problem model, and improving the model through parameter replacement and problem conversion; S3, introducing a first variable, converting integer constraints and non-convex constraints into an easy-to-handle form, and rewriting the optimization problem model through a penalty method; S4, based on variable decoupling conversion non-convex constraints, adopting S lemma and SCA technology to propose an AO algorithm; and S5, based on the single-time optimal solution generated in step S4, obtaining a suboptimal solution of the original problem beamforming through iterative convergence. The application solves the RIS-aided multi-user MISO URLLC beamforming optimization problem, also considers the influence of RIS unit discrete phase shift on beamforming, and proves that, under the influence of 2-bit quantization resolution, the ideal RIS unit performance is approximated with a small performance loss.

The invention provides a multi-cell multi-user OFDM (Orthogonal Frequency Division Multiplexing) resource allocation method and system, and relates to the field of wireless optical communication. The method comprises the following steps: acquiring the total number of users, the number of subcarriers, channel state information and the number of target bits; a subcarrier and the number of bits on the subcarrier are allocated to each user in an iteration mode, in each iteration, firstly, the preferentially allocated user is obtained according to the target number of bits of each user and the allocated number of bits, a candidate subcarrier is obtained for the preferentially allocated user, a bit is added to the candidate subcarrier, and the number of bits on the candidate subcarrier is added to the target number of bits of each user. The subcarriers are dispatched in the process so as to avoid same-frequency interference; and obtaining the allocated power according to the bit number allocated on each subcarrier by each user. According to the method, the channel information of each user is considered, and the interference among the users in each cell and the bit number expected to be allocated by each user are comprehensively considered, so that the resources are allocated and the interference is coordinated more effectively in the multi-cell multi-user OFDM system, and the performance of the system is improved.

This invention discloses a physical layer security optimization method assisted by smart reflective surfaces under conditions of inaccurate channel state information. This method utilizes smart reflective surfaces to reflect signals transmitted by base stations, thereby enabling signal transmission from base stations to users. Furthermore, to optimize the physical layer security performance of multi-user systems, the beamforming vectors for base station transmitted information signals and artificial noise, as well as the phase shift matrix of the smart reflective surface, are jointly optimized with the goal of maximizing the system confidentiality rate under the worst-case scenario, under the condition that the base station's eavesdropping channel state information contains errors. The method utilizes slack variables, penalty functions, Charnes-Cooper transforms, and alternating iterative optimization methods to transform the original non-convex semidefinite programming problem into a convex optimization problem, which is then solved using standard convex optimization problem solving methods.

1. The name of the design product: electronic device with visual report multi-user system graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface content. 4. The picture or photo that best indicates the design points: front view. 5. The electronic device is a conventional design, so other views are omitted, and the rear view, left view, and pitch view are omitted. 6. The use of the graphical user interface: for data integration, data visualization, data analysis, integration. 7. The human-computer interaction mode of the graphical user interface: the front view is the initial interface, and after clicking "data display", the interface changes as shown in interface change state diagram 1; in interface change state diagram 1, click "self-service report" as shown in interface change state diagram 2.

The present invention discloses a method, system and medium for maximizing communication rate based on the MM algorithm, belonging to the field of wireless communication technology. The method includes: S1: In the multi-user system construction stage, a multiple-input single-output URLLC system is constructed with the assistance of intelligent reflecting surfaces; S2: In the stage of constructing the system sum rate maximization problem, according to the multiple-input single-output URLLC system, the packet decoding error probability of each single-antenna user, the precoding vector at the BS, and the distributed passive beamforming with discrete phase shifts are jointly optimized to obtain the system sum rate maximization problem; S3: In the stage of solving the system sum rate maximization problem, the MM algorithm is used to transform the objective function of the system sum rate maximization problem, and the AO algorithm is used to solve the optimization variables. Finally, the optimal solution of the system parameters is obtained through iteration. The complex optimization problem is simplified by the iterative approximation method, and the closed-form solution expression of the optimization variable sub-problem is effectively obtained.

This invention discloses a physical layer security strategy generation method and system for uncertain air-to-ground environments, belonging to the field of communication signal processing technology. The method includes: constructing a downlink multi-user MISO system model incorporating a UAV base station, legitimate users, and eavesdroppers, and using a bounded channel uncertainty model to describe channel errors; constructing an optimization model with the objective of maximizing security and confidentiality; constructing a generator network based on a conditional denoising diffusion probability model, including a channel encoder and a denoising U-Net network; performing two-stage training on the generator network: the first stage learns the conditional distribution of the strategy by minimizing noise prediction error; the second stage introduces a security and confidentiality loss function and a power constraint penalty term for targeted fine-tuning; in actual communication, the fine-tuned model is used to quickly generate beamforming and artificial noise strategies that satisfy power constraints from random noise. This invention significantly improves the physical layer security performance and response speed of air-to-ground communication systems.

The invention discloses a communication method, a communication device and a communication system, which support a communication enhancement scene based on a multi-user MIMO (Multiple Input Multiple Output) system. The method comprises the following steps: receiving a first reference signal, performing channel measurement based on the first reference signal to obtain a first channel parameter, and sending the first channel parameter. Wherein the first reference signal is carried by a first resource, and the first resource is determined based on the first multipath information. According to the method, the first multipath information is introduced, the channel is converted from the transmitting antenna array dimension to the multipath dimension, and the multipath is mapped to the reference signal port, so that the terminal equipment in the environment can obtain the downlink channel information and feed back the downlink channel information to the network equipment, the resource overhead can be reduced, and the transmission performance can be improved.

The embodiment of the invention provides a near-field multi-user SWIPT system beam design method and system based on MA. The method comprises the following steps: establishing a beam position optimization model of a near-field multi-user SWIPT system; wherein the beam position optimization model is used for optimizing an antenna position and a beam vector; determining a plurality of pieces of state information of near-field multiple users; initializing the plurality of pieces of state information to obtain a plurality of pieces of initialized state information; and performing antenna beam optimization on the initialized multiple pieces of state information through a beam position optimization model, and determining optimal antenna beam data. According to the scheme, the total rate of the system can be maximized under the conditions of meeting user rate and energy requirements, transmitting power and antenna geometric constraints.