@inproceedings{44fbfd153c674a1780ddbb5eb1cc7ac2,
title = "How Should IRSs Scale to Harden Multi-Antenna Channels?",
abstract = "This work extends the concept of channel hardening to multi-antenna systems that are aided by intelligent reflecting surfaces (IRSs). For fading links between a multi-antenna transmitter and a single-antenna receiver, we derive an accurate approximation for the distribution of the input-output mutual information when the number of reflecting elements grows large. The asymptotic results demonstrate that by increasing the number of elements on the IRS, the end-to-end channel hardens as long as the physical dimensions of the IRS grow as well. The growth rate however need not to be of a specific order and can be significantly sub-linear. The validity of the analytical result is confirmed by numerical experiments.",
keywords = "Intelligent reflecting surfaces, channel hardening, large-system analysis",
author = "Ali Bereyhi and Saba Asaad and Chongjun Ouyang and Muller, {Ralf R.} and Schaefer, {Rafael F.} and {Vincent Poor}, H.",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 ; Conference date: 20-06-2022 Through 23-06-2022",
year = "2022",
doi = "10.1109/SAM53842.2022.9827818",
language = "English",
series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",
publisher = "IEEE Computer Society",
pages = "276--280",
booktitle = "2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022",
}