Research On Solar-Powered UAV-Assisted Internet Of Vehicles Transmission Control Strategy

There are some areas in the highway traffic where the communication base station is not deployed,or the communication of the base station is interrupted due to geological disaster damage,which will not be able to meet the needs of interactive information between the vehicle and the base station.Unmanned Aerial Vehicle(UAV)has the advantages of high mobility,easy deployment and line-of-sight communication.As a temporary information transmission relay deployed in the nonsignal coverage area,it can provide an effective solution for information interaction between vehicles and base stations.Due to the limited energy carried by traditional UAVs,the use of photovoltaic energy harvesting technology can prolong the service time of UAV.In this paper,the transmission control strategy of solar-powered UAV assisted Internet of Vehicles is studied in the following two aspects to improve the energy efficiency of solar-powered UAV as a temporary information transmission relay:1)Research on resource scheduling strategy for maximizing uplink communication throughput of solar-powered UAV-assisted Internet of vehicles: In order to meet the uplink communication throughput requirements of solar-powered UAV as an emergency relay transmission device between vehicles and base stations,a joint computing and communication resource scheduling strategy for maximizing the throughput of solar-powered UAV-assisted vehicular networks is proposed.Firstly,the channel model of vehicle and solar-powered UAV and solar-powered UAV and base station communication,the data compression model of solar-powered UAV and the energy collection model of solar-powered UAV are established.Secondly,considering the channel change caused by platooning,data compression and energy harvesting on computing and communication resources,the optimal scheduling model of the system is established,and a joint resource scheduling strategy to maximize throughput is proposed,which is solved by successive convex approximation method.Finally,this strategy is compared with the uniform power transmission strategy and the stochastic power transmission strategy.The simulation results show that the total data transmission is improved by 18.5 % and 50.8 % respectively.2)Research on the timeliness optimization control strategy of downlink communication data packet transmission of solar-powered UAV assisted Internet of Vehicles: Solar-powered UAV collects or receives road information and sends it to vehicles.The data is queued for a long time in the solarpowered UAV buffer,which causes the data to be overstocked,resulting in the vehicle receiving outdated data packets.Considering that both the data packet and the energy packet arrive randomly,in order to meet the requirements of the timeliness of information sent by solar-powered UAV,a transmission control strategy that minimizes the average queue delay of data packets is proposed.Firstly,according to the random probability model of data and photovoltaic energy arrival,the iterative expression of data and energy buffer state updating with elapse of time is established,and the channel state model is established according to the change of data packet transmission target.Secondly,in order to achieve the optimal timeliness of data packet transmission under photovoltaic energy constraints,the data buffer,energy buffer and channel state update are combined to establish the corresponding Markov decision process model and propose a transmission control strategy to minimize the average queue delay of data packets,which is solved by the value iterative algorithm based on post-decision state dynamic programming.Finally,the simulation results show that compared with the maximum packet transmission strategy and the random packet transmission strategy,the average packet queue delay is reduced by 54.8 % and 56.2 % respectively.