Joint Transmit Power and Placement Optimization for URLLC-Enabled UAV Relay Systems

被引：58
作者：
Ren, Hong [1 ]
Pan, Cunhua [1 ]
Wang, Kezhi [2 ]
Xu, Wei [3 ]
Elkashlan, Maged [1 ]
Nallanathan, Arumugam [1 ]
机构：
[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
[2] Northumbria Univ, Dept Comp & Informat Sci, Newcastle Upon Tyne NE1 8SB, Tyne & Wear, England
[3] Southeast Univ, NCRL, Nanjing 210096, Peoples R China
来源：
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2020年 / 69卷 / 07期
基金：
英国工程与自然科学研究理事会;
关键词：
Robots; Signal to noise ratio; Relays; Channel models; Unmanned aerial vehicles; Error probability; Ultra reliable low latency communication; UAV; URLLC; short-packet transmission; relay; ALTITUDE;
D O I：
10.1109/TVT.2020.2992736
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：
This letter considers an unmanned aerial vehicle (UAV)-enabled relay communication system for delivering latency-critical messages with ultra-high reliability, where the relay is operating under amplifier-and-forward (AF) mode. We aim to jointly optimize the UAV location and power to minimize decoding error probability while guaranteeing the latency constraints. Both the free-space channel model and three-dimensional (3-D) channel model are considered. For the first model, we propose a low-complexity iterative algorithm to solve the problem, while globally optimal solution is derived for the case when the signal-to-noise ratio (SNR) is extremely high. For the second model, we also propose a low-complexity iterative algorithm to solve the problem. Simulation results confirm the performance advantages of our proposed algorithms.
引用
收藏
页码：8003 / 8007
页数：5
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