IRS-assisted Multi-cell Multi-band Systems: Practical Reflection Model and Joint Beamforming Design

TL;DR

This paper introduces a practical IRS reflection model for multi-band systems and develops joint beamforming algorithms that significantly improve power efficiency and data rates in realistic wireless environments.

Contribution

It proposes a more realistic IRS reflection model and designs joint beamforming algorithms tailored for multi-cell multi-band systems, addressing hardware implementation issues.

Findings

Significant power savings achieved.

Enhanced sum-rate performance.

Validation through simulations showing improvements.

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.