How Should IRSs Scale to Harden Multi-Antenna Channels

被引：5

作者：

Bereyhi, Ali ^{[1
]}

Asaad, Saba ^{[1
]}

Ouyang, Chongjun ^{[2
]}

Mueller, Ralf R. ^{[1
]}

Schaefer, Rafael F. ^{[3
]}

Poor, H. Vincent ^{[4
]}

机构：

[1] Friedrich Alexander Univ Erlangen Nurnberg FAU, Erlangen, Germany

[2] Beijing Univ Posts & Telecommun, Beijing, Peoples R China

[3] Univ Siegen, Siegen, Germany

[4] Princeton Univ, Princeton, NJ 08544 USA

来源：

2022 IEEE 12TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM) | 2022年

基金：

美国国家科学基金会;

关键词：

Intelligent reflecting surfaces; channel hardening; large-system analysis; MIMO;

D O I：

10.1109/SAM53842.2022.9827818

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 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.

引用

页码：276 / 280

页数：5

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