Authors
Qiang Sun, Panpan Qian, Wei Duan, Jiayi Zhang, Jue Wang, Kai-Kit Wong
Publication date
2021/7/26
Journal
IEEE communications letters
Volume
25
Issue
10
Pages
3224-3228
Publisher
IEEE
Description
Intelligent reflecting surface (IRS) has emerged as a promising and low-cost technology for improving wireless communications by collecting dispersed radio waves and redirecting them to the intended receivers. In this letter, we characterize the achievable rate when multiple IRSs are utilized in the manner of decode-and-forward (DF) relaying. Our performance analysis is based on the Nakagami- fading model with perfect channel state information (CSI). Tight upper bound expressions for the ergodic rate are derived. Moreover, we compare the performance of the multi-IRS DF relaying system with that of the one with a single IRS and confirm the gain. We then optimize the IRS configuration considering the numbers of IRSs and IRS reflecting elements, which provides useful insights for practical design.
Total citations
20222023202412119
Scholar articles
Q Sun, P Qian, W Duan, J Zhang, J Wang, KK Wong - IEEE communications letters, 2021