Study on Channel Prediction in IRS-Assisted Wireless Com-munication Systems

被引：1

作者：

Suga, Norisato ^{[1
,2
]}

Yano, Kazuto ^{[1
]}

Hou, Yafei ^{[1
,3
]}

Sakano, Toshikazu ^{[1
]}

机构：

[1] ATR Wave Engn Labs, 2-2-2 Hikaridai,Souraku, Kyoto 6190288, Japan

[2] Shibaura Inst Technol, Fac Engn, Koto, Japan

[3] Okayama Univ, Grad Sch Nat Sci & Technol, Okayama, Japan

来源：

IEICE COMMUNICATIONS EXPRESS | 2023年 / 12卷 / 07期

关键词：

IRS; RIS; channel prediction; Gaussian process regression;

D O I：

10.1587/comex.2023XBL0035

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：

The use of intelligent reflecting surface (IRS) is being investigated for wireless communication in high frequency bands. By appropriately controlling the reflection coefficient of each IRS element, high quality communication can be achieved even in non-line-of-sight environment. The phase control of the IRS requires the determination of the optimal phase pattern based on the estimated channel, which is then fed back to the IRS through the control channel. To reduce channel estimation overhead, we propose a channel prediction method based on Gaussian process regression. We evaluate the proposed method performance on the points of signal-to-noise ratio (SNR) and confirm that the proposed approach can mitigate SNR degradation caused by terminal movement compared to the system without prediction.

引用

页码：374 / 378

页数：5