1635 results about "Communication quality" patented technology

A method (700) by a user equipment, UE, (112) for communicating in a restricted zone includes determining (702) a location of the UE in relation to the restricted zone. Based on the location of the UE in relation to the restricted zone, the UE takes (704) at least one action to maintain a level of communication quality of the UE.

The invention relates to an unmanned aerial vehicle group-oriented sensing communication integrated network multi-resource joint scheduling method, and belongs to the technical field of wireless communication, and the method comprises the steps: building a system model of multiple UAV-ISAC tasks, and defining a joint optimization problem; extracting spatio-temporal features from the dynamic heterogeneous graph in which the unmanned aerial vehicle, the user and the sensing target are abstracted as nodes and the relationship is abstracted as edges; taking the features as input, and adopting a layered multi-agent reinforcement learning architecture to solve the joint optimization problem on line; in the architecture, resource allocation and trajectory planning actions are generated through cooperation of a central Actor and all unmanned aerial vehicle Actors, and system performance is evaluated by a central Critic; constructing a multi-target weighted reward function, stabilizing a training process by combining experience playback and a Mini-batch sampling mechanism, and updating network parameters in parallel; and obtaining an optimal resource allocation and unmanned aerial vehicle trajectory strategy through training. The sensing performance is improved, the communication quality is guaranteed, and the defects in the aspect of dynamic resource scheduling in the prior art are overcome.

The invention provides a low-orbit satellite communication terminal network performance dynamic tuning method and system, and relates to the technical field of low-orbit satellite communication. Comprehensive data such as relative movement of a satellite and a terminal and signal transmission loss are acquired; preprocessing the integrated data, inputting the preprocessed integrated data into a time sequence prediction model containing LSTM and Transform, generating a signal quality and intensity index sequence and a link stability level in a future preset time window, and carrying out dynamic optimization based on the generated indexes, including adjusting a terminal modulation mode according to the signal quality; combining the link stability and the signal strength to aggregate the link, and optimizing the switching opportunity and path; allocating resources according to the signal strength and the service characteristics; and optimizing the energy consumption according to the relative motion and the business characteristics. Through accurate prediction and multi-dimensional adjustment and optimization, the communication efficiency and reliability of the low-orbit satellite communication terminal network are improved, energy consumption and delay are reduced, and good communication quality is guaranteed.

The invention relates to the technical field of communication quality, and particularly discloses an acquisition terminal for communication quality monitoring, which comprises an electric energy meter interface module for reading an instrument value from an electric energy meter; the time synchronization module is used for aligning the terminal clock to the coordinated world time and generating a time frame with 1s as granularity; the communication quality monitoring module is used for measuring a communication quality index and calculating a value at the 95% position within a preset statistical time period as a statistical result preset statistical time period; the data slicing and counting module is used for forming 10T0 fragments according to 10 fundamental wave periods in each time frame; the caching and out-of-order correction module is used for performing grouping, out-of-order rearrangement and missing compensation on instrument values and communication quality indexes according to the same time frame before uploading and completing framing in a waiting window; and the alarm and uploading module is used for outputting a local alarm by taking the value of the 95% position as a statistical result. According to the invention, the overall end-to-end time delay of the acquisition terminal is reduced.

The invention provides a directional network adaptive radiation control method and system, and relates to the technical field of wireless network control, and the method comprises the steps: obtaining real-time high-frequency motion data, relative distance data and environment interference intensity data of a wireless network; motion state continuous quantization is carried out according to the real-time high-frequency motion data, and motion characteristic quantities are constructed and obtained; performing multi-step track prediction processing according to the motion characteristic quantity, and outputting a track prediction sequence; performing prediction reliability evaluation according to the trajectory prediction sequence, and generating a trajectory uncertainty index; generating a radiation control signal according to the motion characteristic quantity and the trajectory uncertainty index to obtain the radiation control signal; and performing beam forming and power adaptive processing according to the radiation control signal and the real-time relative distance data to obtain a final beam form and power parameter combination. According to the method, the communication quality and the anti-interference capability of the directional network in a complex environment are remarkably improved.

The embodiment of the invention provides an unmanned aerial vehicle semantic communication method and device, and the method comprises the steps: enabling an unmanned aerial vehicle to reach a task point according to a planned track, and collecting image data at the task point; preprocessing the image data to obtain image information with consistent dimensions; performing semantic coding on the image information by using a semantic encoder to obtain a semantic feature vector; performing channel coding on the semantic feature vector by using a channel coder to obtain a semantic symbol; and sending the semantic symbols to a base station through a wireless channel. According to the method, only key semantic information needs to be transmitted, the amount of data needing to be transmitted is greatly reduced, occupied communication resources are reduced, the communication quality and reliability can be optimized to the maximum extent through trajectory planning and resource allocation, and the overall performance of a communication system is guaranteed.

The invention relates to the technical field of coal mine automation control, and discloses a coal flow windscreen wiper multi-device cooperative control method and system. The method comprises the following steps: obtaining an original environment data set of each sensor node in an underground environment, processing the original environment data set to obtain a communication quality index, calculating bandwidth demand change of each node in combination with historical transmission records of the nodes, and predicting a resource allocation proportion; when the current available network resources cannot meet the requirements, sorting the key data packets to obtain a priority transmission sequence; extracting high-priority data from the sequence, temporarily storing the high-priority data to a local cache unit, and determining the state of a buffer area; dynamically adjusting bandwidth allocation by adopting an intelligent optimization model, and updating communication resource configuration; and judging whether the resource configuration meets a load balance requirement, if so, sending a data packet through a wireless channel, determining a transmission performance index, and generating a resource management scheme of a next period. The cooperative work efficiency of multiple devices of the coal flow windscreen wiper in the high-dust and high-humidity environment is improved.

The invention discloses a cellular module power control method based on a network state and a service load, and aims to solve the problems of low energy utilization rate, unstable communication quality and the like of a traditional power control scheme. According to the method, power control parameters including a dynamic power protection threshold, a hardware protection delay and a hardware protection release threshold are defined and issued through a standardized interface. The network state and the service load are monitored in real time, and multi-dimensional data are collected to support power calculation. A module physical layer is combined with monitoring data, and through logic of basic power reference calculation, service load correction, parameter boundary verification and the like, target power giving consideration to communication quality and energy consumption is obtained. Dynamic power adjustment is executed according to the target power, when the target power reaches the upper limit, the standby power supply and the main power supply are triggered to supply power cooperatively, and power smooth transition and hardware protection are achieved in combination with hardware protection delay. And if the closed-loop monitoring adjustment effect does not reach the standard, iterative optimization is carried out again. The energy utilization rate is improved, and the communication transmission success rate is improved.

The invention provides an unmanned aerial vehicle communication intensity calculation method and system based on data driving, and belongs to the technical field of low-altitude traffic network communication, and the method comprises the steps: processing obtained communication parameter data through employing a pre-trained graph neural network model, and achieving the prediction of the signal intensity of each grid; wherein the graph neural network model is composed of a plurality of graph attention network modules, a full connection layer and an output layer. According to the method, characteristic parameters related to urban environment and signal attenuation serve as input, signal intensity values serve as output, a graph neural network model is trained, and a high-precision and high-efficiency low-altitude communication signal attenuation estimation model is established. The model can effectively estimate the low-altitude communication signal intensity in different urban scenes, and the estimation result can provide a scientific basis for communication quality partition and system optimization of an urban environment.

This application provides a communication method, apparatus, and system. The method includes: a terminal device receiving configuration information, the configuration information being used to configure the terminal device to communicate on K cells, where K is a positive integer; the terminal device receiving first indication information, the first indication information indicating a first capability, the first capability being related to the configuration information, and the first capability being at least one of a first frequency band combination, a first characteristic set, or a first carrier characteristic set. The terminal device can obtain accurate communication configuration in a timely manner, avoiding uplink and downlink reception impairments, bit errors, and other anomalies caused by inaccurate alignment of this information between the network device and the terminal device, thereby improving communication quality.

The invention discloses a routing method and device for converged communication messages, electronic equipment and a storage medium, and relates to the technical field of converged communication or other related fields, and the method comprises the following steps: receiving a call request from a communication terminal, and preprocessing the call request to obtain a target call request, the preprocessing comprises heterogeneous protocol unified processing and semantic enhancement information adding; fusing the network state data and the semantic enhancement information of the current network environment to obtain routing decision data; the routing decision data are input to a target decision model, a routing strategy is output, and the target decision model comprises a reinforcement learning model formed by training based on historical routing data; and forwarding the target call request according to the routing policy. According to the method and the device, the technical problem that the communication quality is reduced due to inaccurate message analysis and untimely forwarding caused by defects in protocol adaptability of a traditional routing mechanism in the related technology is solved.

Example embodiments of the present disclosure relate to methods, devices, and computer storage medium for communication. The method comprises: receiving, at a terminal device from a network device, at least one of the following parameters associated with a protocol data unit (PDU) set: a first parameter indicating whether all PDUs in the PDU set are needed by an application layer; a second parameter indicating whether the PDU set is to be discarded when an additional PDU set associated with the PDU set is lost or discarded; a third parameter indicating a discard timer for the PDU set; or a fourth parameter indicating a reordering timer for the PDU set, and processing the PDU set based on the received at least one of the parameters. In this way, packet processing with PDU set granularity is supported, and PDU-set based handling is also supported. Therefore, communication quality and network performance are improved.

The embodiment of the invention provides a training method and device for a poor-network-quality root cause recognition model, equipment and a medium, and belongs to the technical field of communication network operation and maintenance. The method comprises the following steps: performing feature extraction on first network performance time sequence data through an initial encoder to obtain a first poor communication quality feature, and updating the initial encoder according to the first poor communication quality feature and a first poor quality root cause category label to obtain a reference encoder; performing feature extraction on the second network performance time sequence data through a reference encoder to obtain a second communication poor quality feature, and determining a predicted poor quality root cause category of the second network performance time sequence data based on the second communication poor quality feature through an initial classifier; and calculating cross entropy loss according to the second poor-quality root cause category label and the predicted poor-quality root cause category, and updating a reference encoder and a classifier according to the cross entropy loss to obtain a network poor-quality root cause identification model. According to the embodiment of the invention, the accuracy of network poor-quality root cause identification can be improved.

The invention discloses a cross-medium wearable audio transmission system and a transmission method thereof, which are suitable for audio communication scenes in an air and water body junction environment such as a natatorium. The system comprises a shore transmitting terminal and an underwater receiving earphone, and adopts a blue-green light wave band as a transmission carrier to realize cross-medium wireless transmission of audio signals. The transmitting terminal comprises an audio preprocessing module, a modulation and driving module and a coarse-fine composite light beam alignment module; the receiving earphone comprises an optical receiving module, a posture sensing and aligning module, a signal processing module and a bone conduction audio output unit. According to the system, through a dynamic attitude compensation and light beam alignment mechanism, the audio transmission rate greater than or equal to 1Mbps in a 10-meter range is realized, the error rate is less than or equal to 1 * 10 <-6 >, and the transmission delay is less than 50ms. The method has the advantages of high communication quality, strong anti-interference capability, good wearable performance and the like, and is suitable for scenes of underwater training, voice guidance, immersive audio playing and the like.

The invention discloses a multi-protocol compatible hydropower station field bus photoelectric signal synchronous acquisition device and method, and relates to the technical field of industrial bus testing, the device comprises a core control layer, a signal conditioning layer, a photoelectric interface layer, a clock synchronization layer, a power management layer and a data storage and transmission layer; the core control layer adopts a dual-core framework of a domestic Loongson 2K0300 main control unit and a domestic FPGA (Field Programmable Gate Array) time sequence control unit; the clock synchronization layer adopts a two-stage synchronization mechanism of'local crystal oscillator time sequence control + NTP network clock calibration '; and the signal conditioning layer is integrated with a multi-protocol self-adaptive conditioning module and an industrial-grade anti-interference module. The method comprises the steps of clock initialization and calibration, parameter configuration, photoelectric signal parallel acquisition and time sequence synchronization, and data preprocessing and transmission, so that synchronous acquisition of six types of bus protocol photoelectric signals is realized. The system has the advantages of multi-protocol compatibility, autonomous controllability, good portability and the like, and provides reliable data support for bus communication quality evaluation and fault diagnosis.

The invention discloses an unmanned aerial vehicle ISAC system beam and three-dimensional trajectory joint optimization method for covert communication. Aiming at the condition that potential monitors exist in a network architecture in which an unmanned aerial vehicle performs downlink information transmission to a plurality of ground users, a communication system model is firstly constructed, and then an optimization problem conforming to a scene with user scheduling, a communication and sensing integrated waveform and an unmanned aerial vehicle flight path as constraints is constructed by taking maximization of an average covert communication rate of a system as a target; then, based on a BCD method, an original optimization problem is decoupled into sub-problems about user scheduling, a common inductance integrated waveform and a UAV three-dimensional flight path, and convex approximate fitting is carried out on each non-convex sub-problem; and finally, solving by adopting an iterative algorithm to find a global suboptimal solution of the whole optimization problem, an optimal sensing integrated waveform and a UAV flight trajectory. According to the invention, the security of information transmission is improved, the communication quality and concealment are maximized, and concealed transmission of information is realized.

The invention discloses a real-time voice communication system and method based on a movement prediction and standby path mechanism, and aims to solve the problems of voice packet loss, delay and call interruption caused by frequent link interruption, large route reconstruction delay and high control overhead when an existing outdoor dynamic small-scale team performs real-time voice communication in a high-speed movement scene. The system comprises a voice sending end, a voice receiving end, a path management module and a mobile prediction module. The path management module constructs and maintains a main path tree for data transmission and a pre-generated standby path tree; the movement prediction module indirectly predicts the movement trend of the node through the change trend of the link quality, and constructs a movement prediction quality parameter through the change of the link packet loss rate, the delay and the jitter so as to dynamically optimize the structure of the path tree; when the main path is subjected to link breakage or the communication quality, such as packet loss rate, delay and jitter deterioration, is below threshold values, the system can be seamlessly switched to the standby path tree, so that the continuity and real-time performance of voice communication are guaranteed; according to the invention, the lightweight design is adopted, the control packet overhead is reduced, the method is suitable for an outdoor real-time voice communication scene with a small number of nodes, high moving speed and limited bandwidth and power consumption, and the communication robustness and the user experience are remarkably improved.

The invention discloses a low-altitude communication and sensing integrated resource collaborative optimization method, which comprises the following steps: firstly, carrying out three-dimensional space modeling on a base station, a cooperative unmanned aerial vehicle and a non-cooperative unmanned aerial vehicle in a system, defining communication and sensing dual-function attributes of the base station, and establishing a communication channel model and a sensing echo model; establishing a communication and perception echo model between the base station and the unmanned aerial vehicle, defining an association relationship and a power distribution optimization variable, constructing a joint performance objective function, and introducing power constraint, communication rate and positioning precision system constraint to form a mixed integer non-convex optimization problem; and finally, decomposing a mixed integer non-convex optimization problem into two sub-problems, and realizing double improvement of system communication efficiency and sensing precision through joint optimization. According to the method, high-precision positioning of the non-cooperative unmanned aerial vehicle can be realized while the communication quality of the cooperative unmanned aerial vehicle is guaranteed, so that the communication resource utilization efficiency and the airspace management safety are effectively improved, and the method is suitable for the intelligent deployment requirement of a future complex urban air network.

The invention relates to a robot control technology, and discloses a robot cluster control method and system and a storage medium, and the method comprises the steps: receiving motion state data, network link state data and service type information of each robot; predicting a motion track of each robot in a future preset time period based on the motion state data in combination with a digital map, and predicting a communication quality change trend of a current network link of each robot in the future preset time period based on the network link state data; determining a target network link of each robot based on the motion trail, the communication quality change trend, the digital map, the service type information and the received node operation state information of each edge relay node, and generating a network switching instruction containing the target network link and the switching opportunity, and the corresponding robot executes network link switching according to the network switching instruction. According to the invention, global prediction and active switching of robot cluster communication can be realized.

The invention discloses a satellite switching method and device, equipment, a storage medium and a program product. The method comprises the following steps: performing communication quality prediction based on historical communication index data, reflected pulse intensity data and spatial position data, and determining predicted communication quality data; and performing communication demand analysis based on the communication service parameters of the user satellite communication equipment, and determining communication demand data. And matching at least one target satellite from the plurality of satellites to be selected based on the communication demand data and the predicted communication quality data. According to the technical scheme provided by the invention, the continuity and stability of communication connection of a user in a satellite communication process are fully guaranteed, and the problem of lagging or interruption in real-time communication services such as satellite communication is effectively avoided. According to the technical scheme provided by the invention, satellite switching can be flexibly adjusted and formulated according to the current service demand of the user, smooth and stable execution of the service is ensured, and the user experience is effectively improved.

The invention discloses a wind and light storage cooperative control system based on source load matching. The system aligns a source load storage network and communication information and carries out credible evaluation; wind, light and load are predicted, and uncertainty levels are given; calculating a matching degree and a short plate hot spot, and combining network side hard constraints such as voltage, power flow and reverse transmission to obtain an acceptable boundary; when the matching is qualified and the complementary energy is still available, identifying the complementary energy / energy shortage and the reason, quickly checking the transferable margin and loss by the edge, generating a routing plan containing retention time and action budget, and scheduling the stored energy and the flexible load in a rolling manner; meanwhile, the risk budget and standby are written back according to feasibility, prediction uncertainty and communication quality, gray release and automatic rollback are achieved in cooperation with degradation and playback scoring, and consumption and traceability are improved.

The invention relates to the field of robot navigation, in particular to a robot dog formation collaborative operation method and system in a disaster environment. The method comprises the following steps: acquiring future intention information of a pilot dog and a local environment model sensed by a relay dog, and fusing to construct a prospective environment model; calculating a link quality score of a relay dog to the intention of a pilot dog based on the model, constructing a potential field, and solving a gradient to obtain a communication gradient impetus; switching the operation mode of the relay dog according to the operation state of the pilot dog; in the corresponding mode, the communication gradient driving force, the communication attraction pointing to the pilot dog and the obstacle repulsive force are fused, the navigation resultant force is calculated, and the relay dog is controlled to work cooperatively. Through the prospective communication quality gradient field, the relay dog prejudges and avoids the communication blind area, the modal switching adaptation requirement is combined, the problem that formation communication is prone to being interrupted in the disaster environment is solved, the communication continuity and robustness are improved, and support is provided for efficient collaborative operation of the robot dog.

The invention provides an intelligent gridding comprehensive anti-misoperation locking system for a power distribution network, and the system comprises an optimization module which achieves the hierarchical decoupling design of the system through a distributed communication middle platform, an intelligent logic analysis engine and a programmable execution control unit. The deployment module is used for modularly deploying functional components based on the micro-service architecture, reducing the system coupling degree by using an asynchronous message queue as a cross-component communication bus in combination with a domain event-driven mechanism, and completing local logic judgment at an edge computing node through an FPGA (Field Programmable Gate Array); the network reinforcement module is used for constructing a heterogeneous communication network and guaranteeing the communication quality through a dual-channel redundancy transmission technology; the intelligent decision-making module is used for forming a self-adaptive decision-making model based on reinforcement learning and a knowledge graph technology; and the digital twinning verification module is used for establishing a power grid virtual mapping system through a digital twinning technology. Cooperation among modules of the system can be balanced, instruction processing time delay is shortened, communication reliability is improved, and efficient implementation of an operation scheme is guaranteed.

The invention discloses a low-orbit satellite beam switching method and a communication terminal, and belongs to the technical field of satellite communication, and the method comprises the steps: synchronously collecting real-time multi-source data; preprocessing the real-time multi-source data to obtain a real-time multi-dimensional feature vector, and based on the real-time multi-dimensional feature vector, performing link quality prediction on links of all visible beams in a period of time in the future by adopting a prediction model to obtain an updated candidate beam set, and providing a time window for decision making; and constructing a comprehensive decision function fused with a multi-dimensional optimization target, calculating a comprehensive score of the updated candidate beam set, identifying a global optimal beam, and performing switching judgment and execution. According to the invention, the switching strategy conversion from passive response to active optimization is realized, the time delay and interruption probability of beam switching are obviously reduced, and the system resource utilization rate and the communication quality are improved.

The invention relates to a deployment recommendation method and device of wireless access equipment and computer equipment. The method comprises the following steps: acquiring deployment demand information of a user and physical deployment conditions of wireless access equipment in a target deployment area; according to the deployment demand information, screening out a candidate deployment scheme containing a network service package and matched wireless access equipment from a pre-constructed information base; the information base comprises a plurality of network service packages and equipment information of a plurality of wireless access equipment; for each candidate deployment scheme, determining a deployment position and a communication quality index value of each wireless access device under the candidate deployment scheme according to the physical deployment condition; and displaying each candidate deployment scheme, the deployment position corresponding to each candidate deployment scheme and the communication quality index value to the user. By adopting the method, the deployment efficiency can be improved, and collaborative optimization between the network communication quality and the economic cost is realized.

Embodiments of this application provide a communication method and apparatus. The method includes: obtaining first configuration information; performing an application layer measurement on a first broadcast service based on the first configuration information, to obtain a measurement result; and sending the measurement result and indication information to a first network device, where the indication information indicates a first cell in which a terminal device receives the first broadcast service. According to the solutions of this application, a network device corresponding to the first cell can optimize a configuration of the first broadcast service based on the measurement result, to improve performance of the first broadcast service, and therefore improve communication quality and user experience.

The invention relates to a communication guarantee method and device for a traffic police emergency command scene and electronic equipment. The method comprises the following steps: monitoring network state parameters of at least two heterogeneous links in real time; based on the network state parameters, communication quality scores of all links are continuously calculated through a dynamic quality evaluation model, and the dynamic quality evaluation model updates the communication quality scores based on real-time changes of the network state parameters; according to the communication quality score, adaptively selecting the current optimal transmission link to perform data transmission; in the data transmission process, when it is detected that data transmission based on the primary protocol fails, protocol switching operation is automatically triggered, and the primary protocol is switched to the degradation protocol; and in response to the protocol switching operation, performing data screening processing in a linkage manner, extracting a key data frame from the to-be-transmitted service data, and transmitting the key data frame through a degradation protocol and the selected current optimal transmission link. According to the invention, the end-to-end communication continuity of the emergency command key system under the extreme network condition is ensured.

The invention relates to the technical field of wireless communication, and particularly discloses a beamforming optimization method of an active-RIS (Radio Information System) assisted integrated sensing communication and energy transfer system, which aims at maximizing radar sensing SINR (Signal to Interference plus Noise Ratio) weighted sum in an active-RIS assisted multi-integrated sensing communication and energy transfer system. Constructing a non-convex optimization problem by taking an SINR demand of a communication user, an energy acquisition demand of an energy receiving user and power constraints of a base station and an Active RIS as constraint conditions; after the constructed non-convex optimization problem is decomposed into sub-problems of a receiving filter coefficient, MFBS transmitting beam forming and an active-RIS reflection coefficient, alternate iterative optimization is carried out, so that the transmitting power of the MFBS can be reasonably distributed to communication and radar beams, and the active-RIS is controlled to select an optimal reflection phase and an amplification coefficient. Therefore, under the condition that the SINR requirement of the communication user, the EH requirement of the energy receiving user and the power constraint are met, the multi-target sensing performance of the radar is effectively improved, and meanwhile the communication quality and the energy transmission efficiency are guaranteed.

The invention belongs to the technical field of wireless communication, and discloses a broadband and narrowband fused communication method and a terminal. Comprising the steps of collecting communication state parameters and performing data cleaning to obtain accurate communication state parameters; executing link switching verification based on the precise communication state parameters, and generating a switching evaluation label to mark the precise communication state parameters to obtain a switching mark parameter set; performing communication quality prediction, and constructing trend deviation characteristics based on a prediction result; carrying out heterogeneous synchronization confirmation based on the trend deviation characteristics and the switching evaluation labels, and outputting fusion consistent flag parameters; performing multi-terminal communication optimization based on the fusion consistent flag parameter, and outputting multi-terminal communication broadcast; in combination with multi-terminal communication broadcast, a link communication strategy is constructed by fusing the consistent mark parameter and the switching mark parameter set, and the link communication strategy is sent to a preset communication control terminal for communication and real-time display; the accuracy and stability of wide-narrow band converged communication are improved, and the multi-terminal cooperative scheduling capability is enhanced.

The invention discloses an unmanned aerial vehicle assisted Internet of Vehicles trajectory planning method and system based on traffic flow prediction, and the method comprises the steps: S1, employing multi-source historical traffic data collected by a distributed sensor network as input, and building a traffic flow space-time prediction model based on a deep learning algorithm; s2, a vehicle networking model composed of a plurality of vehicles and a plurality of unmanned aerial vehicles is constructed, the unmanned aerial vehicles fly at a fixed height and serve as air base stations to provide services for ground vehicles, and only one unmanned aerial vehicle provides services for each vehicle; and S3, constructing a multi-unmanned aerial vehicle assisted Internet of Vehicles communication system model, clustering ground vehicles by using a clustering algorithm in combination with traffic flow prediction data, and further jointly optimizing trajectory planning and resource allocation strategies of the unmanned aerial vehicles by taking a clustering center as a pre-deployment position of the unmanned aerial vehicles for each vehicle cluster. The corresponding system comprises the sensor network, the cloud platform and the unmanned aerial vehicle cluster carrying the base station, and the communication quality and the energy efficiency of the Internet of Vehicles can be effectively improved.