43 results about "User density" patented technology

The invention discloses a wireless loudspeaker box group cooperative control method and system based on an external Bluetooth transmitting and receiving array, and relates to the technical field of wireless audio control. UWB high-precision positioning and Bluetooth RSSI fingerprint data are fused, an error correction model is constructed, environmental interference data are acquired in real time in combination with spectrum scanning, and the problems of single-technology positioning drift and signal crosstalk are solved. And adopting an improved K-means clustering algorithm, dynamically and adaptively partitioning the sound field according to the movement speed and density of the user, and optimizing the physical topology path of the Bluetooth array based on the interference intensity. A user density change rate, a cluster offset distance and an interference intensity threshold are set, sound field reconstruction is triggered in real time, and partition lag of a traditional scheme is avoided. The Bluetooth array is controlled to switch narrow beam directional transmission, and a multi-user priority arbitration model is combined, so that the concurrent bearing capacity of the system is improved. A wireless sound box group cooperative control scheme integrating dynamic sound field adaptation, high-concurrency instruction scheduling, anti-interference transmission and cross-brand compatibility is realized.

The invention discloses a multi-UAV (Unmanned Aerial Vehicle)-assisted data acquisition method and system, and aims at a large-range high-user-density IoT (Internet of Things) network to design a data acquisition task by adopting a hovering-flying-hovering layered flying strategy based on a multi-UAV-assisted wireless IoT network data acquisition model on the premise of ensuring data acquisition reliability and a certain coverage rate. The optimal number of UAV virtual nodes are deployed in a clustering mode, then path planning is conducted, and a path sequence of M UAVs with the purpose of minimizing the maximum energy consumption is obtained; the method specifically comprises the following steps of: constructing a target function and constraint conditions by taking minimization of maximum energy consumption of a multi-UAV data acquisition task as a target; in combination with constraint conditions, solving the objective function to obtain a hovering-flying-hovering trajectory of the multiple UAVs; the superiority of the algorithm is verified through various comparative simulations, and the effectiveness and the energy-saving effect of the algorithm in a large-range high-density scene are shown.

The invention discloses a space-based system service flexible optimization method and device based on distributed agent self-healing, and the method comprises the steps: constructing a user service-oriented application scene of a space-based system according to a multifunctional service provided by the space-based system; based on the task network and the resource network, constructing a two-layer super network model according to a mapping relation between the task network and the resource network; constructing a space-based system multi-scale elastic model according to an application scene based on a two-layer hypernetwork model; establishing a space-based resource pool based on a satellite cluster in a resource network according to the ground user density and the satellite node resource carrying condition; establishing a space-based system elastic service recovery strategy according to the space-based system multi-scale elastic model under the constraint of the space-based resource pool; and optimizing and executing the space-based system elastic service recovery strategy by setting an optimization algorithm to finish space-based system service elastic optimization. The method can effectively improve the service elasticity of the system and reduce the service recovery time.

The invention discloses a multi-person redirection walking and position prediction method based on an artificial potential field, and belongs to the technical field of virtual reality and robot navigation. Aiming at the problems of fixed repulsive force weight, high collision risk and frequent resetting in a multi-user dynamic scene in a traditional redirection walking algorithm and collision caused by insufficient short-term position prediction precision of predictive redirection, the weight distribution of repulsive force between an environment and users is adjusted in real time according to user density through a dynamic situation field weight optimization mechanism; the repulsive force intensity is enhanced when a user approaches an obstacle or a dense area, meanwhile, a safety distance and direction sensing mechanism is introduced, the user movement direction and obstacle included angle analysis is combined, deviation from a high-risk area is guided preferentially, and the invalid reset frequency is reduced. The prediction model adopts an encoder-decoder architecture, an attention mechanism is embedded in a multi-layer long-short-term memory network, key time sequence characteristics in a space-time trajectory are dynamically captured, and the short-term position prediction precision is improved.

The invention discloses a wireless communication optimization method and system based on a reconfigurable intelligent surface, and relates to the technical field of wireless communication, and the method comprises the steps: collecting environment data and network load data, combining a user density with a network load index to carry out the product operation, calculating a resource demand index, and carrying out the calculation of the resource demand index. Comparing the resource demand index with a classification threshold range, selecting a BD-RIS architecture, calculating a corrected channel parameter by using a Rician fading formula, and generating a channel matrix; constructing an initial phase displacement matrix according to the BD-RIS architecture type, and constructing a target function based on the initial phase displacement matrix; through comprehensive analysis of network load data and user density, dynamic setting of an RIS architecture, enhancement of accurate evaluation and flexible adaptation of a network state, calculation of a channel gain reference through an Euclidean distance formula and a path loss formula, and combination of phase analysis in channel state information and a Rician fading formula, channel parameters are optimized, signal attenuation and interference are reduced, and the performance of the system is improved. And the main channel gain and the spectrum efficiency are improved.

The invention relates to a base station site selection and layout method and system. The base station site selection and layout method comprises the following steps: acquiring acquisition data of a target area; preprocessing the collected data based on a geographic information system; carrying out electromagnetic environment survey on the target area; performing user demand analysis based on the user density data and the historical communication data; obtaining a base station candidate position based on the topographic data, the building distribution data, the electromagnetic environment survey result and the user demand analysis result; and selecting the optimal position of the base station from the candidate positions of the base station based on a genetic algorithm for layout. In the aspect of electromagnetic environment exploration, potential interference areas and signal blind areas can be accurately identified, and reliable electromagnetic environment data are provided for base station selection; in the aspect of user demand analysis, a high-density user area and a low-density user area can be clearly identified, and the distribution of the base stations can meet communication demands of users in different areas.

Embodiments herein provide a method for prioritizing service gaps in a wireless network (1000) by an electronic device (100). The method includes receiving information about a plurality of service gaps. Further, the method includes determining a priority for each service gap of the plurality of service gaps based on an area factor, a morphology factor, a RSRP bad samples factor, and a user density factor of each service gap of the plurality of service gaps. Further, the method includes prioritizing the plurality of service gaps for mitigation based on the priority for each service gap of the plurality of service gaps.

An automated system (100) for carrier certification testing, comprising: (a) a geo-dependent test script generation module configured to dynamically generate test scripts based on geographical data, network parameters and environmental conditions; (b) an execution module configured to automatically deploy and execute the test scripts on an operator's network infrastructure to evaluate key performance indicators such as latency, throughput, coverage and network availability; c) a log analysis module configured to collect, analyze and interpret real-time performance data from the network, detect anomalies and generate actionable diagnostic insights using machine learning algorithms; (d) a reporting module configured to automatically compile test results into certifiable reports highlighting compliance with predefined standards; and (e) a customisable scenario configuration interface allowing users to simulate different operating conditions, such as peak traffic, signal degradation and fluctuations in user density; f) the system enables end-to-end automation of carrier network testing, diagnostics and certification with minimal human intervention.

This application discloses a method for determining a communication beam. The method includes: determining a comprehensive score value for each coarse beam to be transmitted based on the communication rate of the coarse beam and the user density corresponding to the coarse beam, wherein the comprehensive score value indicates the communication efficiency of the coarse beam; determining a target coarse beam among multiple coarse beams to be transmitted based on the comprehensive score value, and determining a first set of fine beams within a first signal coverage area of ​​the target coarse beam, wherein a second signal coverage area of ​​each fine beam in the first set of fine beams is within the first signal coverage area of ​​the target coarse beam; and determining a second set of fine beams for communication with a user terminal from the first set of fine beams. This application solves the technical problem of long search times for communication beams caused by the high complexity of searching for communication beams in MIMO scenarios in related technologies.

A hybrid repeater for high-density locations may be provided. First, a user density value at an access point (AP) disposed above the ground may be determined. Then, a user density value at an AP repeater disposed at the ground may be determined. Next, it may be determined that a difference between a user density value at the AP and a user density value at the AP repeater is greater than a predetermined threshold. Then, in response to determining that a difference between a user density value at the AP and a user density value at the AP repeater is greater than the predetermined threshold, the AP repeater may be switched from a sensor mode to an AP repeater mode.

The application discloses a multi-person redirection walking and position prediction method based on an artificial potential field, and belongs to the technical field of virtual reality and robot navigation. In view of the problems of fixed repulsion force weight, high collision risk, frequent resetting and short-term position prediction accuracy deficiency leading to collision in the traditional redirection walking algorithm in a multi-user dynamic scene, a dynamic potential field weight optimization mechanism is used to adjust the weight distribution of repulsion force between the environment and the user in real time according to the user density, to enhance the repulsion force intensity when the user approaches an obstacle or a dense area, and to introduce a safety distance and a direction perception mechanism, to analyze the user motion direction and the obstacle angle, to preferentially guide the deviation from a high-risk area, and to reduce the number of invalid resets. A prediction model adopts an encoder-decoder architecture, and a multi-layer long short-term memory network is embedded with an attention mechanism to dynamically capture key timing features in the space-time trajectory, and to improve the short-term position prediction accuracy.

The application discloses a base station site selection method, system, device and storage medium. The base station site selection method comprises the following steps: calculating a 5G user migration probability based on a grid user density, a grid reference signal receiving power, a cell traffic and user information; calculating a 5G user activity index based on the grid user density, the grid reference signal receiving power, the cell traffic and the user information; calculating a competition demand imbalance index value based on a first user occupancy rate, a first grid 5G coverage rate, a second user occupancy rate and a second grid 5G coverage rate; calculating a user dissatisfaction imbalance index value, a competition synergy coefficient value, an active demand compensation factor and a migration coverage gap ratio based on the 5G user migration probability, the 5G user activity index and the competition demand imbalance index value, so as to calculate a closeness score; and performing base station site selection based on the closeness score, thereby improving the efficiency and resource utilization of the base station site selection.

The present invention discloses a wireless communication optimization method and system based on a reconfigurable intelligent surface, which relates to the technical field of wireless communication. The method includes collecting environmental data and network load data, performing a product operation by combining the user density and the network load index to calculate the resource demand index, comparing the resource demand index with a classification threshold range, selecting a BD-RIS architecture, using the Rician fading formula to calculate the corrected channel parameters, and generating a channel matrix; constructing an initial phase shift matrix according to the BD-RIS architecture type, and constructing an objective function based on the initial phase shift matrix; by comprehensively analyzing the network load data and the user density, dynamically setting the RIS architecture to enhance the accurate evaluation and flexible adaptation of the network state, calculating the channel gain benchmark through the Euclidean distance formula and the path loss formula, and optimizing the channel parameters in combination with the phase analysis in the channel state information and the Rician fading formula to reduce signal attenuation and interference, and improve the main channel gain and spectral efficiency.

The invention relates to the technical field of wireless communication, in particular to an intelligent base station antenna system, which comprises a multi-source sensing fusion step: acquiring base station work parameters and a terminal measurement report in real time, analyzing and extracting signal features and performing time sequence alignment, and generating a multi-dimensional sensing data set; a space-time topology reconstruction step: performing multipath propagation environment inversion based on the data set, and constructing a three-dimensional telephone traffic thermodynamic diagram reflecting the user density in a three-dimensional space; interference potential energy analysis: simulating beam overflow based on the thermodynamic diagram, calculating overlapping coverage and generating an interference potential energy evaluation result; an intelligent decision optimization step: constructing a multi-objective optimization function, and carrying out global search to solve optimal antenna weight configuration containing amplitude and phase weight; a self-adaptive reconstruction execution step: converting the weight into a beam forming instruction, driving an antenna to adjust a radiation pattern and monitoring performance in real time; according to the invention, a traditional rigid mode is broken, automatic adjustment of the coverage envelope along with traffic flow is realized, and the overall capacity of the network is improved.

The present disclosure provides a method for inter-satellite beam-hopping scheduling, electronic device and storage medium. The method is applied to a first satellite, wherein service ranges of the first satellite and a second satellite have an overlapping area, and the method includes: comparing, in response to edge users existing in the overlapping area, a first edge user density of the first satellite and a second edge user density of the second satellite, before a next scheduling cycle starts; traversing, in response to the first edge user density being lower than the second edge user density, time slots in the next scheduling cycle, to determine whether to adjust a first beam-hopping pattern pre-determined for the first satellite; adjusting, in response to determining to adjust the first beam-hopping pattern, the first beam-hopping pattern to obtain a second beam-hopping pattern; and performing, in the next scheduling cycle, beam-hopping service for a traffic beam according to the second beam-hopping pattern.

To provide a use state management system capable of reducing a load of an employee of a facility using the system.SOLUTION: The usage status management system 10 includes a plurality of terminals 20 respectively worn by a plurality of users who use the facility, a power transmission device 30 that is installed in the facility and transmits power to the plurality of terminals 20 by spatial transmission, and a management device 40 that manages the usage status of the facility by the plurality of users. Management device 40 includes a situation estimator that estimates a density level of the users in the facility based on the position information of terminals 20.SELECTED DRAWING: Figure 1

This application provides a method for inter-satellite beam hopping scheduling and coordination. The method includes: before the start of the next scheduling cycle, in response to the presence of edge users in the overlapping area of ​​the service ranges of a first satellite and a second satellite, comparing the edge user densities of the first and second satellites; the edge user density is the number of users per unit area on the edge signaling beam; if it is determined that the edge user density of the first satellite is low, then traversing the time slots of the next scheduling cycle; determining whether beam hopping pattern compromise is needed; if it is determined that beam hopping pattern compromise is needed, then performing beam hopping pattern compromise based on a scheduling compromise algorithm for edge user density to obtain a compromised beam hopping pattern; in the next scheduling cycle, providing service beam hopping services according to the compromised beam hopping pattern. This method, for services provided to edge users, can avoid inter-satellite interference, thereby improving the overall throughput performance of the constellation system.

In the invention, a dynamic spectrum access (DSA) method for covert communication, which is inspired by Gibbs sampling, is provided. The method comprises the following steps: firstly, defining a covert communication index as KL divergence between user channel access distribution and uniform distribution; the lower the KL divergence is, the higher the difficulty of detecting or attacking the transmission channel by the attacker is. Secondly, inspired by Gibbs sampling, a rejection mechanism for rejecting access to an overused channel is provided; through the mode, the user is promoted to dynamically access a plurality of channels, and the probability that the user continuously accesses the same channel is reduced. And finally, combining a rejection mechanism with a Q-Learning reinforcement learning algorithm to form a new aperiodic frequency hopping DSA framework for covert communication. And the channel selection is continuously adjusted, so that the covert communication performance is improved. A simulation result shows that compared with a standard Q-Learning algorithm, under different user densities, the provided frequency hopping DSA method has the advantages that the KL divergence is remarkably reduced and the covert communication performance is enhanced while the good channel capacity is maintained.

The present application belongs to the field of electric communication, and particularly relates to a CDN burst traffic coping method based on regional hotspot event sensing, comprising the following steps: obtaining original data of a hotspot event, extracting event semantic categories, social media propagation speed, initial user sentiment polarity and geographical user density distribution, and constructing a multi-dimensional event feature vector; inputting the multi-dimensional event feature vector as an initial state into a preset traffic time sequence generation adversarial network to obtain a content request probability distribution sequence of the hotspot event in a future time window; and according to the content request probability distribution sequence, when a predicted content request cumulative probability of a state-oriented long connection service is higher than a first preset threshold, instantiating a VNF service chain in a VM form. The present application can complete resource deployment and path pre-planning in advance, thereby reducing user access latency, guaranteeing service quality of the service, and improving overall utilization of network resources.

The invention discloses an air conditioner load regulation and control method and device based on WAPI communication and electronic equipment, and the method comprises the steps that target parameters corresponding to a to-be-controlled air conditioner are obtained through a multi-parameter collection module, and the target parameters comprise environment parameters, operation state parameters and user density parameters; the target parameter is transmitted to the core control unit and the upper computer regulation and control platform based on the WAPI communication module, and the upper computer regulation and control platform generates an upper computer instruction based on the target parameter and issues the upper computer instruction to the core control unit; the core control unit generates a regulation and control signal through a preset load regulation and control algorithm based on the target parameter and the instruction of the upper computer, and issues the regulation and control signal to the execution module; the execution module adjusts operation parameters of the to-be-controlled air conditioner according to the regulation and control signal so as to realize flexible regulation and control of the load of the to-be-controlled air conditioner; real-time collection, safe transmission and dynamic regulation and control of air conditioner operation parameters are achieved, meanwhile, a power grid load platform is linked, and flexible management and energy optimization of air conditioner loads are achieved.

The invention discloses a full-band combined 5G antenna communication method and device based on frequency band self-adaption, and relates to the technical field of 5G antenna communication, and the method comprises the steps: carrying out the real-time aggregation and statistics of position signaling data generated during the registration of a terminal, building a unit time user density mapping model of each frequency band in each cell, and carrying out the real-time aggregation and statistics of the position signaling data; the actual user distribution state can be sensed in a high-frequency and high-granularity manner, so that a hot spot area and a low-load area are dynamically reflected, and the response capability of spectrum scheduling to geographical distribution change is enhanced. A previous scheduling system lacks accuracy of the current use intensity of a frequency band, and particularly in a complex multi-carrier scheduling environment, which frequency band is nearly saturated is difficult to judge. By collecting and modeling a signal-to-noise ratio sequence in a continuous time period and further calculating a volatility index of the signal-to-noise ratio sequence, frequency bands which are high in average channel quality, violent in fluctuation and unstable in communication quality can be effectively eliminated.

The embodiment of the invention provides a data encryption method and a computer readable storage medium, and the method comprises the steps: carrying out the grid processing of a target region, determining the building coverage rate and the user density of each grid, and selecting a target frequency band adaptive to each grid according to the building coverage rate and the user density; under the target frequency band, the initial privacy budget is dynamically adjusted based on the channel state and the interference level determined by channel detection, a target privacy budget is obtained, privacy encryption is carried out on data to be transmitted based on the target privacy budget, an encrypted data packet is obtained, and transmission redundancy is reduced while privacy leakage is reduced; according to the method, the encrypted data packet is pre-processed based on the preset modulation order and the preset coding mode corresponding to the channel state to obtain the encrypted data stream, and the encrypted data stream is transmitted from the source node to the destination node in the target frequency band, that is, the reliability of data transmission is improved through dynamic adaptation of the data transmission strategy and the channel transmission capability.

The invention discloses a resource benefit evaluation method and device, electronic equipment and a storage medium, and relates to the technical field of resource benefit evaluation, and the method comprises the steps: building a three-dimensional feature space containing a business type, coverage quality and user density based on multi-dimensional feature data, and outputting the prediction results of resource benefits in different business scenes through a dynamic mapping model. And benefit grading is carried out through a preset grading algorithm, so that the problems that a mapping relation between flow and physical resource block utilization rate is distorted and a 5G network complex environment is difficult to adapt due to the fact that a service classification mode based on 4G experience is adopted and a static threshold value is depended in an existing 5G cell resource benefit evaluation method can be solved; the technical effect of improving the accuracy, adaptability and flexibility of resource benefit evaluation is achieved.

The invention discloses a bandwidth allocation method, device and equipment and a computer readable storage medium, and relates to the technical field of head-mounted display equipment, the bandwidth allocation method is applied to a bandwidth allocation system, and the bandwidth allocation system is in communication connection with multiple pieces of head-mounted display equipment. The method comprises the following steps: monitoring a user position of a target user using a target head-mounted display device in a preset network coverage range; determining the user density in each unit coverage range based on the user position, each unit coverage range being obtained by segmenting a preset network coverage range, and the user density being the density of users using the target head-mounted display device in the unit coverage range; and determining a preset target bandwidth resource quantity corresponding to each user density, and dynamically allocating bandwidth resources to target head-mounted display equipment in a unit coverage range corresponding to the user density based on the target bandwidth resource quantity. The bandwidth utilization rate of the computer network can be improved.

This invention provides a method for jointly optimizing the deployment location and operating status of wireless access points (APs). The method includes acquiring a set of access points (APs) in a wireless local area network (WLAN), the location vectors of each AP, and its operating status; dividing the WLAN into regions with multiple unit cubes to obtain the user density in each sub-region; determining the target points to be covered in each sub-region to form a target point set; and calculating the signal strength from the APs. i To the target point T j The path loss; constrained by the overall coverage of target points and the user correlation rate in the region of each sub-cube, a path loss with each AP is constructed. i The objective function is related to the TX power; a single-objective optimization algorithm is used to find the optimal solution for the objective function and output it, thus obtaining the optimal solution for the working state and location of all APs. Implementing this invention can minimize the total AP TX power while ensuring coverage and considering the differences in user density between different areas and the temporal fluctuations of user density in the WLAN.

The invention discloses a wireless communication physical isolation method and system based on 6G spatial multiplexing, and relates to the technical field of wireless communication. The method comprises the following steps: dynamically segmenting a target area into physical isolation micro-areas according to user distribution density; deploying a multi-cavity compound eye bionic antenna unit; constructing a Mesh network by taking the network node as a communication neuron node; driving an antenna unit to acquire a multi-dimensional signal and perform spatial spectrum calculation to generate an interference thermodynamic map; uploading the thermodynamic map to a Mesh network, completing orthogonal allocation of air interface resources based on node collaboration, and outputting a resource scheme; and performing fine-grained dynamic adjustment on the microcell according to the user density change in the communication process. The technical problems of low spectrum efficiency and throughput of a wireless communication system caused by same-frequency interference in a high-density user scene are solved, and the technical effects of remarkably reducing interference through physical isolation and space division multiplexing, realizing dynamic resource optimization and improving system capacity and communication quality are achieved.

Provide a system. 【Solution means】Means for monitoring the power state of the base station, Means for counting the number of base stations with power outages, Means for determining a wide-area power outage from the number of base stations with power outages, Means for transmitting standby and fuel procurement instructions to the operator in case of a disaster, Means for tracking the positions of active users within the disaster area, Means for determining the optimal base station restoration order based on user density, Means for updating the restoration status in real time, Means for creating an optimal material supply plan, A system including means for notifying the operator of an action plan.

The invention discloses a satellite hopping beam scheduling method and device based on user distribution and a storage medium, and the method comprises the steps: determining a cluster corresponding to a target beam, and determining each first beam position in the cluster; traversing each first beam position by using a first hopping beam path, and determining a user density degree of each first beam position, the first hopping beam path representing a moving path of the target beam traversing each first beam position; based on a preset first threshold value and according to the user density of each first wave position, a plurality of second wave positions in the plurality of first wave positions are determined, and the first threshold value represents a user density degree threshold value; using an ant colony algorithm to determine a second hop beam path, the second hop beam path representing the shortest path of the target beam traversing each second beam position; and traversing each second beam position in the cluster according to a second hopping beam pattern.

The invention relates to the technical field of communication, and particularly discloses a bandwidth dynamic allocation method and system during multi-user access of communication equipment. The method comprises the following steps: firstly obtaining user activeness, total bandwidth request quantity and available resource block quantity, determining supply and demand conditions, then calculating a user density factor and a bandwidth demand intensity factor, quantifying load characteristics and uniformly analyzing dimensions, then weighting to obtain a network load coefficient, distinguishing user load priorities, and meanwhile, determining the user load priority. A transmission demand factor is calculated in combination with network topology characteristics and transmission interference factors, network transmission capability and interference constraints are quantified, finally, a reference bandwidth allocation proportion is obtained through multi-factor weighting, multi-dimensional demands, adaptive load differences and network constraints are considered, the subsequent adjustment difficulty is reduced, and the allocation efficiency and rationality are improved. And the balance between the network performance and the user experience in a multi-user access scene is ensured.

The present invention provides a UAV-borne small base station microwave communication system and method, which relates to the technical field of UAV-borne small base station microwave communication. The method includes: obtaining a position coordinate list A corresponding to a target area; using a preset clustering algorithm to cluster the position coordinates in A to obtain a cluster list B; determining a first type of sub-area corresponding to each cluster in B to obtain a first type of sub-area list C corresponding to B; obtaining the number of users in each first type of sub-area in B to obtain a user number list λ corresponding to B; obtaining the number of user connections ND and the signal coverage area SD of the UAV-borne small base station at a preset height H; determining the number and positions of the UAV-borne small base stations required for the target area. By the method of the present invention, it is possible to avoid the situation where users in a sub-area with a large user density connect to a small base station simultaneously, resulting in an excessive number of users connected to the small base station and communication obstruction.