Intelligent Reflecting Surface-Enhanced UAV Communications: Advances, Challenges, and Prospects

计算机科学 波束赋形 路径损耗 基站 传输(电信) 干扰(通信) 频道(广播) 发射机功率输出 实时计算 无线 电信 发射机
作者
Yong Ge,Jiancun Fan,Geoffrey Ye Li,Lichun Wang
出处
期刊:IEEE Wireless Communications [Institute of Electrical and Electronics Engineers]
卷期号:30 (6): 119-126 被引量:5
标识
DOI:10.1109/mwc.008.2200124
摘要

As a cost-effective aerial platform, unmanned aerial vehicles (UAVs) can provide reliable air-to-ground (A2G) line-of-sight (LOS) transmission and controllable maneuverability. However, the LOS links may deteriorate severely in some complex propagation environments, such as in urban areas. In addition, UAV communications often suffer from serious interference caused by the A2G channel. To address these challenges, intelligent reflecting surface (IRS) has been recently proposed to compensate for the path loss and reduce interference. In this article, after briefly introducing the comprehensive background of UAV communications and IRS-based beamforming, the main advantages and the potential of IRS-assisted UAV communications are discussed. Finally, based on a novel active IRS, two case studies are investigated where the transmission beamforming and the active IRS's reflecting coefficient are jointly optimized. In the first case, transmit power of UAV-borne base stations can be greatly reduced while ensuring the achievable secure rate. In the second case - based on the first - we presented a robust and secure beamforming, considering the channel error caused by UAV jittering. Simulation results are provided to demonstrate the better performance enhancement brought by combining UAVs and active IRSs. Finally, a few challenging issues to be resolved for practical implementations were discussed.
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