Research Article
Trajectory Optimization for UAV Assisted Fog-RAN Network
@INPROCEEDINGS{10.1007/978-3-030-41114-5_26, author={Qi Qin and Erwu Liu and Rui Wang}, title={Trajectory Optimization for UAV Assisted Fog-RAN Network}, proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I}, proceedings_a={CHINACOM}, year={2020}, month={2}, keywords={UAV communications Delay minimization Trajectory design}, doi={10.1007/978-3-030-41114-5_26} }- Qi Qin
Erwu Liu
Rui Wang
Year: 2020
Trajectory Optimization for UAV Assisted Fog-RAN Network
CHINACOM
Springer
DOI: 10.1007/978-3-030-41114-5_26
Abstract
In this paper, we study an unmanned aerial vehicle (UAV) assisted Fog-RAN network where an UAV perform as mobile remote radio head (RRH) to help base station forwards signals to the multiple users in the downlink transmissions, and a dedicated ground station (GS) acts as baseband unit (BBU) pool. To achieve fairness among users, we minimize the maximum transmission delay for all terrestrial users in downlink communication by jointly optimizing the user scheduling and the UAVs trajectory. Since the formulation problem is an integer non-convex optimization problem, we propose an effective iterative algorithm to find efficient solutions by using Majorize Minimization (MM) algorithm. We also confirm the convergence of our proposed algorithm. Numerical results indicate that the proposed algorithm can significantly reduces transmission delay compared to circular trajectories and fixed base station solutions.
