Aerial Small Cells Using Coordinated Multiple UAVs: An Energy Efficiency Optimization Perspective

IEEE Access

Wei Feng¹  Ning Ge¹  Chengxiao Liu¹  Jue Wang²  Yunfei Chen³ 

[1] Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China;Nantong Research Institute for Advanced Communication Technologies, Nantong University, Nantong, China;School of Engineering, University of Warwick, Coventry, U.K.;

关键词: Coordinated power allocation;    energy efficiency;    small cell;    time scheduling;    unmanned aerial vehicle;   

DOI  :  10.1109/ACCESS.2019.2938256

来源: DOAJ

【 摘 要 】

Recently, unmanned aerial vehicle (UAV) communications have attracted great research interest. Due to the limited on-board energy, the optimization of energy efficiency (EE) is critical for UAV communications. In this paper, we propose an EE maximization scheme for UAV swarm-enabled small cell networks using large-scale channel state information at the transmitter (CSIT). The proposed scheme provides an agile coordination strategy for the UAVs in a swarm under energy constraints. We first formulate the EE maximization problem, where the objective function is defined as the ratio of the ergodic total data size to the total energy consumption. After that, an accurate approximation is derived to remove the intractable expectation operator in the objective function. As the newly formulated problem is non-convex, we decompose it into two subproblems to optimize the transmit power and the hovering time in an iterative way. Further by leveraging the max-min and linear optimization tools, both subproblems are efficiently solved. Simulation results demonstrate the superiority of our EE maximization scheme.

【 授权许可】

Unknown