Paper Info
Title
IRS-Assisted Multicell Multiband Systems: Practical Reflection Model and Joint Beamforming Design
Abstract
Intelligent reflecting surface (IRS) has been regarded as a promising and revolutionary technology for future wireless communication systems owing to its capability of tailoring signal propagation environment in an energy/spectrum/ hardware-efficient manner. However, most existing studies on IRS optimizations are based on a simple and ideal reflection model that is impractical in hardware implementation, which thus leads to severe performance loss in realistic wideband/multi-band systems. To deal with this problem, in this paper we first propose a more practical and more tractable IRS reflection model that describes the difference of reflection responses for signals at different frequencies. Then, we investigate the joint transmit beamforming and IRS reflection beamforming design for an IRS-assisted multi-cell multi-band system. Both power minimization and sum-rate maximization problems are solved by exploiting popular second-order cone programming (SOCP), Riemannian manifold, minimization-majorization (MM), weighted minimum mean square error (WMMSE), and block coordinate descent (BCD) methods. Simulation results illustrate the significant performance improvement of our proposed joint transmit beamforming and reflection design algorithms based on the practical reflection model in terms of power saving and rate enhancement.
Year
DOI
Venue
2022
10.1109/TCOMM.2022.3168645
IEEE Transactions on Communications
Keywords
DocType
Volume
Intelligent reflecting surface,practical reflection model,multi-cell multi-band systems,beamforming optimization
Journal
70
Issue
ISSN
Citations 
6
0090-6778
0
PageRank 
References 
Authors
0.34
28
6
Name
Order
Citations
PageRank
Wenhao Cai1261.98
Rang Liu213.72
Ming Li338837.81
Yang Liu4275.74
Qingqing Wu5222890.86
Qian Liu66514.07