35 results about "Multiuser system" patented technology

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.

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 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.

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.

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 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.

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.

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.

Embodiments of the present disclosure herein provide a method and system of a non-linear single level optimization model for estimating DER responses in MAMS environment. Existing methods do not have a framework for volume allocation optimization and price-volume optimization especially in multi-aggregator multi-subscriber systems. Moreover, the price-volume optimization methods in existing literature consider a system having multiple subscribers and single aggregator only and using these methods it is difficult to assess how multiple subscribers will behave with multiple aggregators. Further, in a multi-aggregator system, determining the prices offered by each for an amount of energy resource allocated by the subscribers is another challenge, since the prices offered are dependent on several factors such as day ahead market prices, market risks and the like. The disclosed non-linear single level optimization model enables to estimate equilibrium optimal values between an amount of energy resources allocated for each aggregator among the one or more aggregators and the amount of energy resource traded by each aggregator in one or more energy markets.

This invention discloses a base station-based mixed reality spatial scanning and computing device, relating to the field of mixed reality technology. It includes a mixed reality scene construction module, a scene calibration and analysis module, and a real-time mixed calibration module. This invention constructs a unified local three-dimensional spatial coordinate system through VSLAM spatial scanning configured in a base station, and uses the computing device in the base station to simultaneously process data for multiple lightweight wearable devices distributed in the environment. This addresses the problem in existing mixed reality applications where, when multiple users interact with mixed reality wearable devices through positional shifts and hand gestures, the overlapping spatial coordinate systems constructed by each camera lead to data deviations. Multi-user systems cannot effectively judge and accept user positional shifts, resulting in discrepancies between the user's actual location and the preset location, causing a lack of smooth real-time user experience. It also facilitates significant weight reduction and cost reduction of wearable devices.

The invention discloses an effective energy efficiency optimization method for an MU-MIMO-NOMA system, and the method comprises the steps: dividing users into a plurality of clusters according to the difference of the service time delay service quality requirements of all users of a multi-user MIMO system; performing block diagonalization precoding on different clustered transmission signals to eliminate inter-cluster interference; carrying out power domain power distribution in each cluster by adopting a non-orthogonal multiple access technology to obtain distribution power; calculating the user transmission rate based on the distribution power, and obtaining the effective capacity and the effective energy efficiency of the system; constructing an optimization problem with effective energy efficiency maximization as a target, wherein the optimization problem takes system transmitting power and NOMA power distribution factors as optimization variables; and solving the optimization problem by using an improved EAO algorithm to obtain optimal system transmitting power and NOMA power distribution factors, thereby realizing effective energy efficiency optimization.

In a dematerialized ultrasound system, i.e. comprising a probe for transmitting and receiving ultrasound signals and a generic processing hardware made of one or more distributed processing units, the functions relating to the processing steps for the generation and processing of the images are in the form of software programs that encode instructions for the aforementioned generic hardware which make it capable of executing said processing steps. In order to make the computational and data interchange burden less heavy between the units of the distributed architecture of the system and to make the distribution of processing steps more flexible between one or more of the components of the distributed system, the programs are created under form of applications included in containers managed by a container management engine.

Various aspects of the present disclosure relate to storing a ML model and a set of ML parameters associated with the ML model. Aspects of the present disclosure relate to generating a first and second sets of forward-pass values based on perturbations of the set of ML parameters by a random vector in a positive direction and a negative direction, respectively. Aspects of the present disclosure relate to transmitting, to a set of UEs, a set of training messages containing the first and second sets of forward-pass values, and receiving a set of loss difference values, each associated with a UE of the set of UEs. Aspects of the present disclosure relate to determining a model update decision based on the set of loss difference values and transmitting, to the set of UEs, an update message indicating the model update decision.

This invention discloses a method and system for deriving the maximum transmission rate of a concatenated spread spectrum sequence of regular LDPC codes in a multi-user system. The method is as follows: Step 1: Based on the successful decoding of the concatenated spread spectrum sequence of regular LDPC codes in a multi-user system, construct an objective function with constraints to maximize the transmission rate of the system; Step 2: Based on fixed-point theory, given the degree d of the variable nodes in the LDPC code... v Derive the degree d of the verification node c Using the theoretical analytical expression for the spreading length m, we can solve for the inverse function of the objective function in the non-convex optimization problem; Step 3: Under the premise of successful decoding in the multi-user system, optimize the degree distribution and spreading length m of the LDPC code under the Gaussian multiple access channel. o This maximizes the system's transmission rate.

The invention discloses a fluid antenna-assisted ISAC system joint beam forming and position optimization method based on a quantum particle swarm optimization algorithm. The method specifically comprises the following steps: establishing an ISAC multi-user system model equipped with a two-dimensional fluid antenna, and constructing a beam forming optimization problem; a weighted minimum mean square error algorithm is adopted to convert communication and rate objective functions, an original complex fractional problem is converted into an integer problem, and solving is simplified; an alternating optimization algorithm is adopted to decompose an original joint optimization problem into a plurality of sub-problems; and alternately executing auxiliary variable solving and beam former receiving, solving an iterative solution of a beam forming vector by a successive convex approximation algorithm, and solving a fluid antenna position problem by using a quantum particle swarm optimization algorithm. According to the method, under the limitation of the fluid antenna position, the minimum sensing beam pattern gain and the maximum transmitting power of the base station, the communication speed is effectively improved, and the method is superior to a traditional ISAC system provided with a fixed antenna.

A communication method, apparatus and system, which support a communication enhancement scenario based on a multi-user MIMO system. The method comprises: receiving a first reference signal, performing channel measurement on the basis of the first reference signal to obtain a first channel parameter, and sending the first channel parameter, wherein the first reference signal is carried on a first resource, and the first resource is determined on the basis of first multipath information. In the method, by introducing the first multipath information, a channel is converted from a transmit antenna array dimension to a multipath dimension, and multiple paths are mapped to reference signal ports, so that a terminal device in the environment can obtain downlink channel information and feed back the downlink channel information to a network device, thereby reducing the resource overhead and improving the transmission performance.

The invention relates to an ISAC system and an unmanned aerial vehicle position and beamforming vector joint optimization method thereof, and the core optimization objective is to maximize the minimum communication rate in a multi-user system so as to guarantee the communication fairness and basic service quality among users. In order to embody communication and sensing integration, a sensing task is converted into a signal power constraint, that is, sufficient signal power is radiated towards a specific sensing direction while communication is optimized, so that dual functions of communication and sensing are realized by using the same signal. Aiming at the height non-convex problem caused by dependent variable height coupling of the joint optimization problem, the invention provides an iterative optimization algorithm, an original problem is decomposed into two sub-problems of position optimization and beamforming optimization, in each sub-problem, technologies such as continuous convex approximation, semi-definite relaxation, Gaussian randomization and the like are further adopted to process non-convex constraints, and the non-convex constraint is optimized. And finally, a high-quality solution is obtained. According to the method, the contradiction between communication and sensing resource allocation in the ISAC system is solved, the minimum communication rate of all users can be remarkably improved, and the fairness and service quality of multi-user communication are effectively ensured.

The application provides an 802.11be multi-user system receiver signal-to-noise ratio estimation method, device, equipment and medium, which no longer depends on a limited number of pilot subcarriers in the frequency resource unit where the target user is located, but selects a plurality of frequency resource units with correct cyclic redundancy check results by analyzing and verifying the EHT-SIG field, and jointly uses all pilot subcarriers in the reliable frequency resource units for estimation. The method estimates the signal-to-noise ratio by jointly using all reliable pilot subcarriers in a plurality of frequency resource units with correct cyclic redundancy check results, significantly increases the sample base of noise power estimation, effectively overcomes the problem of low estimation accuracy caused by too few pilot subcarriers of a single user in an 802.11be multi-user system due to dynamic allocation, and thus improves the overall accuracy of signal-to-noise ratio estimation.