Reconfigurable Intelligent Surfaces-Assisted Multiuser MIMO Uplink Transmission with Partial CSI

Abstract

This paper considers the application of reconfigurable intelligent surfaces (RISs) (a.k.a. intelligent reflecting surfaces (IRSs)) to assist multiuser multiple-input multiple-output (MIMO) uplink transmission from several multi-antenna user terminals (UTs) to a multi-antenna base station (BS). For reducing the signaling overhead, only partial channel state information (CSI), including the instantaneous CSI between the RIS and the BS as well as the slowly varying statistical CSI between the UTs and the RIS, is exploited in our investigation. In particular, an optimization framework is proposed for jointly designing the transmit covariance matrices of the UTs and the RIS phase shift matrix to maximize the system global energy efficiency (GEE) with partial CSI. We first obtain closed-form solutions for the eigenvectors of the optimal transmit covariance matrices of the UTs. Then, to facilitate the design of the transmit power allocation matrices and the RIS phase shifts, we derive an asymptotically deterministic equivalent of the objective function with the aid of random matrix theory. We further propose a suboptimal algorithm to tackle the GEE maximization problem with guaranteed convergence, capitalizing on the approaches of alternating optimization, fractional programming, and sequential optimization. Numerical results substantiate the effectiveness of the proposed approach as well as the considerable GEE gains provided by the RIS-assisted transmission scheme over the traditional baselines.

One of the major design concerns related to RISs or IRSs is how quickly their phases can be tuned in practice. Most of the existing works assume perfect CSI. This is the first work that exploits statistical CSI for resource allocation in RIS-assisted multiuser MIMO uplink networks involving several multi-antenna users

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Cited by in corpus (12)

• An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems
• Energy Efficiency and Spectral Efficiency Tradeoff in RIS-Aided Multiuser MIMO Uplink Transmission
• Energy Efficiency Maximization of Massive MIMO Communications With Dynamic Metasurface Antennas
• Near-Field Wideband Extremely Large-scale MIMO Transmission with Holographic Metasurface Antennas
• On the Maximum Achievable Sum-rate of the RIS-aided MIMO Broadcast Channel
• Large Intelligent Surface Aided Physical Layer Security Transmission
• Hybrid RIS and DMA Assisted Multiuser MIMO Uplink Transmission With Electromagnetic Exposure Constraints
• Joint Uplink-Downlink Resource Allocation for Multi-User IRS-Assisted Systems
• Energy-Efficient Precoding in Electromagnetic Exposure-Constrained Uplink Multiuser MIMO
• Statistical CSI-based Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Direct Links
• Design of RIS-aided mMTC+ Networks for Rate Maximization under the Finite Blocklength Regime with Imperfect Channel Knowledge
• Secure Massive RIS aided Multicast with Uncertain CSI: Energy-Efficiency Maximization via Accelerated First-Order Algorithms