Intelligent Reflecting Surface Aided MIMO with Cascaded LoS Links: Channel Modelling and Full Multiplexing Region

TL;DR

This paper models and analyzes IRS-assisted MIMO systems with cascaded LoS links, introducing the cascaded LoS MIMO channel model and the concept of full multiplexing region to optimize spatial multiplexing capabilities.

Contribution

It develops a new channel model for IRS-assisted MIMO with LoS links and defines the full multiplexing region, advancing understanding of spatial multiplexing in such systems.

Findings

Introduced the cascaded LoS MIMO channel model.

Defined the full multiplexing region (FMR) for IRS-assisted MIMO.

Derived an inner bound of the FMR under reflective focusing.

Abstract

This work studies the modelling and the optimization of intelligent reflecting surface (IRS) assisted multiple-input multiple-output (MIMO) systems through cascaded line-of-sight (LoS) links. In Part I of this work, we build up a new IRS-aided MIMO channel model, named the cascaded LoS MIMO channel. The proposed channel model consists of a transmitter (Tx) and a receiver (Rx) both equipped with uniform linear arrays, and an IRS is used to enable communications between the transmitter and the receiver through the LoS links seen by the IRS. When modeling the reflection of electromagnetic waves at the IRS, we take into account the curvature of the wavefront on different reflecting elements. Based on the established model, we study the spatial multiplexing capability of the cascaded LoS MIMO system. We introduce the notion of full multiplexing region (FMR) for the cascaded LoS MIMO channel, where the FMR is the union of Tx-IRS and IRS-Rx distance pairs that enable full multiplexing communication. Under a special passive beamforming strategy named reflective focusing, we derive an inner bound of the FMR, and provide the corresponding orientation settings of the antenna arrays that enable full multiplexing. Based on the proposed channel model and reflective focusing, the mutual information maximization problem is discussed in Part II.