Energy Efficient D2D Communications Using Multiple UAV Relays

被引:25
作者
Alsharoa, Ahmad [1 ,2 ]
Yuksel, Murat [3 ]
机构
[1] Univ Cent Florida, Elect & Comp Engn Dept, Orlando, FL 32816 USA
[2] Missouri Univ Sci & Technol, Elect & Comp Engn Dept, Rolla, MO 65409 USA
[3] Univ Cent Florida, Dept Elect & Comp Engn, Orlando, FL 32816 USA
基金
美国国家科学基金会;
关键词
Device-to-device communication; Relays; Base stations; Trajectory optimization; Throughput; Resource management; Bandwidth; Device-to-device (D2D); Unmanned Aerial Vehicles (UAVs); resource managements; TO-DEVICE COMMUNICATIONS; SHADOWING MODEL; OPTIMIZATION; NETWORKS; ALTITUDE; DESIGN;
D O I
10.1109/TCOMM.2021.3078786
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose a novel optimization model for multiple Unmanned Aerial Vehicles (UAVs) working simultaneously as relays to help two set of ground users; namely relay users and device-to-device (D2D) users. The relay users are assumed out communication rages from each other and use the UAV link to for their data transmission. While the D2D users are assumed to be nearby users and use the UAV for managing the resources without being involved in the transmission. The goal of the paper is to operate the UAVs in an energy-efficient manner to support the different set of users by i) optimizing the available bandwidth and power allocations of the D2D links, and ii) acting as relays when needed to maintain the communication links between relay users. We formulate an optimization problem that maximizes the throughput-energy utility while respecting the resource availability including the UAVs' energy consumption, UAV-user association, and trajectory constraints. Due to the non-convexity of the problem, we propose to solve it in three steps using Taylor series approximation. Firstly, we optimize the transmit power of the UAVs and users. Then, we optimize the bandwidth allocation for a given transmit power values. Finally, an efficient heuristic algorithm based on a recursive shrink-and-realign process is proposed to optimize the UAVs' trajectories. The performance of the proposed method shows advantages in terms of average throughput compared to the fixed power and bandwidth solutions.
引用
收藏
页码:5337 / 5351
页数:15
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