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Computer Science > Information Theory

arXiv:2109.08913 (cs)
[Submitted on 18 Sep 2021 (v1), last revised 10 Jul 2022 (this version, v3)]

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

Authors:Mingchen Zhang, Xiaojun Yuan
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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.
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2109.08913 [cs.IT]
  (or arXiv:2109.08913v3 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2109.08913

Submission history

From: Mingchen Zhang [view email]
[v1] Sat, 18 Sep 2021 11:54:39 UTC (8,778 KB)
[v2] Tue, 7 Jun 2022 06:27:20 UTC (6,242 KB)
[v3] Sun, 10 Jul 2022 14:31:08 UTC (6,500 KB)
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