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

页码：8003 / 8007

页数：5

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