30 results about "User density" patented technology

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.

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.

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 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.

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 invention is applicable to the technical field of wireless networks, and provides a large-range wireless network dynamic deployment system and a resource optimization method, and the system comprises a central control unit, a plurality of intelligent access points, a user density prediction module, a staged ad hoc network protocol module and a reinforcement learning resource scheduling module. Through a staged ad hoc network protocol, a wireless Mesh backhaul topology is quickly constructed and access parameter initialization is completed under the conditions that deployment time is limited and backhaul link resources are limited; a user density prediction module is used for predicting future user density levels of areas covered by all access points, and prediction results, channel utilization rates, return loads and other indexes jointly form a state space of multi-agent reinforcement learning; through an improved MADDPG model, the working channel, the transmitting power, the beam direction and the beacon frame sending interval of each access point are jointly optimized. According to the method, the total throughput of the whole network can be improved, and the congestion occurrence rate of the hotspot area is reduced.

The application discloses a kind of unmanned aerial vehicle ad hoc network access methods based on collective adjacent interference potential, belong to wireless communication technical field.It includes using the power value of received data to carry out channel sensing, judge whether there is idle channel;According to the user density around unmanned aerial vehicle node, user channel interference situation calculates the collective adjacent potential of this unmanned aerial vehicle node, then according to the historical access situation of user channel, the collective adjacent interference potential of this unmanned aerial vehicle node in each idle channel is calculated;The transmission probability of unmanned aerial vehicle node is calculated, if transmission probability is greater than threshold value, then send, otherwise wait for next time slot to carry out channel sensing again.The present application can be in large-scale unmanned aerial vehicle ad hoc network scene, realize large-scale unmanned aerial vehicle ad hoc network access based on adjacent interference potential, satisfy future large-scale unmanned aerial vehicle centerless ad hoc network under the condition of low delay high efficiency access demand.

The invention relates to the technical field of wireless communication, and particularly discloses a network performance optimization method suitable for wireless communication, which comprises a network performance optimization architecture module, a dynamic resource allocation module and a strategy iteration evolution module, and is characterized in that the network performance optimization architecture module is composed of a cross-layer collaborative block chain module and a scene feature adaptive module; and the cross-layer collaborative block chain module adopts a distributed block chain architecture. Real-time synchronization of data of each module within 10ms is realized through a cross-layer collaborative block chain module, decisions such as resource allocation and interference coordination are ensured to be based on a current real network state, the data authenticity is ensured through the non-tampering characteristic of a block chain, and strategy failure caused by malicious equipment counterfeiting interference data is avoided; meanwhile, the scene feature adaptive module can dynamically respond to user density sudden change and service type sudden change, so that a network optimization strategy is matched with actual requirements in real time, and the problems of module data synchronization delay and insufficient scene change adaptation in an existing wireless communication network are effectively solved.

The invention discloses an on-satellite interference avoidance method and device based on layered dynamic collaboration. According to the method, an interference avoidance task is divided into interference avoidance in a multi-core processor and interference avoidance among the multi-core processors. For interference avoidance among the multi-core processors, interference avoidance is carried out by a high-level scheduling controller according to the user density of adjacent space resource division units among the multi-core processors; for interference avoidance in the multi-core processor, the scheduling advance of each thread is set in a media access control layer in the multi-core processor at a bottom layer, so that different moments of adjacent threads on an assembly line correspond to the same scheduling moment, resource allocation is carried out at the same moment, a subsequent thread senses a scheduling result of a preorder thread, and resource allocation is carried out at the same moment. Therefore, interference avoidance is carried out. According to the method, the calculation complexity of a single decision point is reduced, the real-time requirement of on-satellite scheduling is met, and the scheduling flexibility and the interference response speed are remarkably improved.

The application discloses a wireless communication physical isolation method and system based on 6G space multiplexing, and relates to the technical field of wireless communication. The method comprises the following steps: dynamically segmenting a target area into physical isolation microzones according to user distribution density; deploying a multi-cavity compound eye bionic antenna unit; taking the unit as a communication neuron node to construct a Mesh network; driving the antenna unit to collect multidimensional signals and perform space spectrum calculation to generate an interference thermodynamic map; uploading the thermodynamic map to the Mesh network, and completing air interface resource orthogonal distribution based on node cooperation to output a resource scheme; and dynamically adjusting the microzones in fine granularity according to user density changes in the communication process. The technical problems of low spectrum efficiency and low throughput of a wireless communication system caused by same-frequency interference in a high-density user scenario are solved, and the technical effects of significantly reducing interference through physical isolation and space division multiplexing, dynamically optimizing resources, and thus improving system capacity and communication quality are achieved.

The invention relates to the technical field of meta-universe underlying architecture, in particular to a meta-universe scene block optimization method, which is characterized by comprising the following steps: step 1, collecting user density field data in real time through a millimeter wave radar and a 5G probe; step 2, dynamic block division is carried out based on an improved Voronoi graph algorithm, a user dense region is divided into high-precision blocks of 10m * 10m * 3m, and a sparse region is divided into low-precision blocks of 50m * 50m * 10m; 3, performing scene rendering by adopting a neural radiation field (NeRF) progressive distillation model, generating an importance mask according to a user view cone, and triggering model enhancement; 4, realizing decentralized resource scheduling through an IPFS network, and performing cache replacement by adopting an improved LFU algorithm; according to the method and the device, different block granularities are applied to blocks with different information degrees in a user density field self-adaptive division mode, so that the use experience of a user is improved.

SOLUTION: Provided is a program causing a computer to function as changing means for changing at least one of the number or distribution of events associated with an actual position in which a user can participate using a terminal according to characteristics of a region, wherein the changing means distributes the events more uniformly in a region where the number or population of users exceeds a threshold value than in a region where the number or population of users is equal to or less than the threshold value. In the program, the changing means may increase the density of the event in a location with a higher density of users or people than in a location with a lower density of users or people within a region where the number of users or population is below a threshold.SELECTED DRAWING: Figure 6

The invention provides a resource recovery system based on intelligent scheduling, and relates to the technical field of resource recovery, and the system comprises a user side which is used for collecting information of a to-be-recovered object, and transmitting the information of the to-be-recovered object to a recovery cabinet through scanning an information collection code on the recovery cabinet; the recycling cabinet is used for printing recycling labels according to the information of the to-be-recycled objects and storing the to-be-recycled objects; the recovery cabinet is also used for detecting the overflow degree; the data management platform is used for calculating the regional recovery cabinet density and the regional user density according to the positions of the recovery cabinets, calculating the weight of each driving route according to the driving time of each driving route, the overflow degree of the recovery cabinets, the regional recovery cabinet density and the regional user density, and calculating a target transportation route according to a set algorithm; and the sorting center is used for carrying out task allocation on the recovery vehicles according to the target transportation route, scanning the recovery labels on the to-be-recovered objects, and carrying out classification and metering. The resource recovery quality and efficiency can be improved.

The invention relates to the field of low-altitude unmanned aerial vehicle communication, and discloses a communication sensing method, system and device for a low-altitude unmanned aerial vehicle and a medium, and the method comprises the steps: receiving a first signal transmitted by each communication user, and a second signal transmitted by each sensing target; determining a communication rate of a communication user according to the first signal; determining the distribution estimation precision of the second signal corresponding to each sensing target according to the second signal; and according to the communication rates of the communication users and the distribution estimation precision of each second signal, respectively distributing the power of a communication beam vector sent to each communication user and the power of a sensing beam vector sent to each sensing target, thereby realizing communication sensing. According to the method, the power dynamic regulation and control capability of different user directions and sensing areas can be improved, and the method is suitable for real-time changes of user density, moving speed and task priority in a low-altitude scene.

The application discloses a priori enhancement block sparse channel estimation method for a millimeter wave massive MIMO system, and comprises the following steps: system initialization, construction of an angle domain dictionary matrix, uniform division of an observation angle range, calculation of a uniform linear array normalized steering vector corresponding to each grid angle and arrangement in columns; collection of a noisy observation matrix of a snapshot, calculation of a sample covariance matrix, extraction of a noise subspace through eigenvalue decomposition, calculation of a MUSIC pseudo-spectrum and normalization, and aggregation of an atomic level pseudo-spectrum into a block level prior weight vector; execution of a priori enhancement block orthogonal matching pursuit iteration, and cyclic execution of the following sub-steps until a stop condition is met. The method fully utilizes the characteristics that a millimeter wave channel has obvious sparsity in an angle domain, is suitable for a communication environment with high user density and large signal-to-noise ratio fluctuation, and realizes a channel estimation method with high detection performance and low calculation complexity under a complex communication environment.