Trajectory and Resource Optimization in Energy-Efficient 3D Coverage of Unmanned Aerial Vehicle
Ubiquitous coverage will become the main form of 6G networks,and complete the deployment in the mountains,hills,deserts and other blind area,to achieve full-area wireless coverage.However,the large-scale deployment of terrestrial base stations in remote areas is extremely difficult.For this reason,combining Unmanned Aerial Vehicle(UAV)communications with Non-Orthogonal Multiple Access(NOMA)technology,an energy-efficient three-dimensional coverage scheme to maximize the energy efficiency of network throughput is proposed in this paper.First,the system model is established and a user pairing algorithm is proposed based on the K-Means algorithm and the Gale-Shapley algorithm.Then,after user pairing is completed,the initial problem is split into two optimization subproblems,which are transformed to convex respectively.Finally,the block coordinate ascent method is used to alternately optimize the UAV trajectory and transmit power to maximize the energy efficiency.Simulation results show that compared with benchmarks,the proposed scheme can significantly improve the throughput energy efficiency of air-ground networks under large-scale wireless coverage.