Double-IRS Aided MIMO Communication under LoS Channels: Capacity Maximization and Scaling

TL;DR

This paper investigates a cooperative double-IRS MIMO system under LoS channels, proposing a capacity maximization method and analyzing its scaling behavior, demonstrating significant performance improvements over single-IRS systems.

Contribution

It introduces a novel low-complexity algorithm for joint optimization in double-IRS MIMO systems and analyzes their capacity scaling under LoS channels, highlighting the benefits of cooperation.

Findings

Double-IRS system outperforms single-IRS in capacity scaling.

Proposed algorithm achieves low complexity and high performance.

Capacity scales favorably with the number of IRS elements and transmit power.

Abstract

Intelligent reflecting surface (IRS) is a promising technology to extend the wireless signal coverage and support the high performance communication. By intelligently adjusting the reflection coefficients of a large number of passive reflecting elements, the IRS can modify the wireless propagation environment in favour of signal transmission. Different from most of the prior works which did not consider any cooperation between IRSs, in this work we propose and study a cooperative double-IRS aided multiple-input multiple-output (MIMO) communication system under the line-of-sight (LoS) propagation channels. We investigate the capacity maximization problem by jointly optimizing the transmit covariance matrix and the passive beamforming matrices of the two cooperative IRSs. Although the above problem is non-convex and difficult to solve, we transform and simplify the original problem by exploiting a tractable characterization of the LoS channels. Then we develop a novel low-complexity algorithm whose complexity is independent of the number of IRS elements. Moreover, we analyze the capacity scaling orders of the double-IRS aided MIMO system with respect to an asymptotically large number of IRS elements or transmit power, which significantly outperform those of the conventional single-IRS aided MIMO system, thanks to the cooperative passive beamforming gain brought by the double-reflection link and the spatial multiplexing gain harvested from the two single-reflection links. Extensive numerical results are provided to show that by exploiting the LoS channel properties, our proposed algorithm can achieve a desirable performance with low computational time. Also, our capacity scaling analysis is validated, and the double-IRS system is shown to achieve a much higher rate than its single-IRS counterpart as long as the number of IRS elements or the transmit power is not small.