无人机辅助车联网的无人机部署算法

针对无人机辅助车联网的无人机部署问题，分析了基于时延和回传链路的能效无人机部署策略的性能。该策略从车联网的数据传输时延和回传链路角度优化无人机的部署，进而最小化无人机的功率消耗。先面向车联网网络，推导了基于单个用户速率的时延约束函数，并构建基于无人机离基站距离的回传链路容量函数；再构建基于时延和回传链路容量函数的目标函数。最后，利用序列二次规划求解目标函数。性能分析表明，通信数据包尺寸是影响时延的重要参数。此外，在低时延和数据尺寸较大时，车辆用户的总速率之和收敛于回传链路容量。

UAV Deployment Algorithm in UAV-aided VANET

Aiming at deployment problem of Unmanned Aerial Vehicle(UAV) in UAV-assisted Vehicle-to-everything(V2X),energy-efficient deployment of UAV considering latency and backhaul is analyzed in this paper.To minimize the total power consumption is the goal of deployment mechanism considering the latency in the V2X network and backhaul link problem.First,we derive the latency constraint as an individual data rate constraint for V2X network and backhaul link capacity as a function of distance between UAV and the ground base station.The objective function is constructed based on delay and backhaul link capacity.Finally,the objective function is solved by sequential quadratic programming(SQP).In the numerical results,it is stated that communication packet size is an essential parameter.It is also observed that as the delay constraint tightens and the average packet size increases,the sum of the data rates of vehicle users converges to the backhaul link capacity.