A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications
release_c47cn4a42zdhtetjinozjtqb6e
by
Beixiong Zheng, Changsheng You, Weidong Mei, Rui Zhang
2022
Abstract
Intelligent reflecting surface (IRS) has emerged as a key enabling technology
to realize smart and reconfigurable radio environment for wireless
communications, by digitally controlling the signal reflection via a large
number of passive reflecting elements in real-time. Different from conventional
wireless communication techniques that only adapt to but have no or limited
control over dynamic wireless channels, IRS provides a new and cost-effective
means to combat the wireless channel impairments in a proactive manner.
However, despite its great potential, IRS faces new and unique challenges in
its efficient integration into wireless communication systems, especially its
channel estimation and passive beamforming design under various practical
hardware constraints. In this paper, we provide a comprehensive survey on the
up-to-date research in IRS-aided wireless communications, with an emphasis on
the promising solutions to tackle practical design issues. Furthermore, we
discuss new and emerging IRS architectures and applications as well as their
practical design problems to motivate future research.
In text/plain
format
Archived Files and Locations
application/pdf 7.9 MB
file_xcioyd72traidjc6sicd4lgpv4
|
arxiv.org (repository) web.archive.org (webarchive) |
2110.01292v3
access all versions, variants, and formats of this works (eg, pre-prints)