Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems

By Qurrat-Ul-Ain Nadeem, Abla Kammoun, Anas Chaaban, Merouane Debbah, Mohamed-Slim Alouini. IEEE Transactions on Wireless Communications, 2019

467 citations recorded by the source corpus.

This work focuses on the downlink of a single-cell multi-user system in which a base station (BS) equipped with <inline-formula> <tex-math notation="LaTeX">$M$ </tex-math></inline-formula> antennas communicates with <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> single-antenna users through a reconfigurable intelligent surface (RIS) installed in the line-of-sight (LoS) of the BS. RIS is envisioned to offer unprecedented spectral efficiency gains by utilizing <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> passive reflecting elements that induce phase shifts on the impinging electromagnetic waves to smartly reconfigure the signal propagation environment. We study the minimum signal-to-interference-plus-noise ratio (SINR) achieved by the optimal linear precoder (OLP), that maximizes the minimum SINR subject to a given power constraint for any given RIS phase matrix, for the cases where the LoS channel matrix between the BS and the RIS is of rank-one and of full-rank. In the former scenario, the minimum SINR achieved by the RIS-assisted link is bounded by a quantity that goes to zero with <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>. For the high-rank scenario, we develop accurate deterministic approximations for the parameters of the asymptotically OLP, which are then utilized to optimize the RIS phase matrix. Simulation results show that RISs can outperform half-duplex relays with a small number of passive reflecting elements while large RISs are needed to outperform full-duplex relays.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4167cc347e7b490dd8de4d561ff9c4ece3b4bbd2

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Citations in the corpus

Intelligent Reflecting Surface-Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design (2020, methodology): “Under such a setting, the degrees of freedom offered by the overall IRS-assisted link H 0 ,k will be one and the IRS will only yield performance gains when K = 1 [16].”
Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial (2020, methodology): “In [75], random matrix theory was leveraged to study the asymptotic max-min SINR in the single-cell MISO downlink system, which characterizes the effect of channel large-scale fading”
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead (2020, background): “In [114], the authors study the downlink channel of a single-cell multi-user system in which a base station equipped with multiple antennas communicates with several single-antenna users through an RIS.”
Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design (2019, unknown): “[19]–[21].”
An Overview of Signal Processing Techniques for Terahertz Communications (2020, background): “For such setups, in [299], the minimum achievable signal-to-interference-plus-noise ratio (SINR) is studied, both when the channel between the IRS and the base station is fullrank or rank-one.”
Reconfigurable Intelligent Surfaces: Principles and Opportunities (2020, methodology): “Additionally, current research contributions mainly consider the performance optimization for both single-user and multi-user scenarios by optimizing the phase shift and/or pre-coding solutions of the RIS-enhanced system [6], [18], [95], [133], [134].”
Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT Under QoS Constraints (2019, background): “This work was then extended in [9] for considering the max-min SINR optimization problem.”
Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning (2019, methodology): “The Critical Challenge: All the prior work in [5], [6], [9]–[11], [16] assumed that the knowledge about the channels between the LIS and the transmitters/receivers is available at the base station, either perfectly or with some error.”
Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization (2019, background): “In [9] and [10], only statistical CSI is required for the design problem since large-scale antenna array systems are deployed and therefore deterministic equivalent results by exploiting the large system limit can be obtained.”
A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network (2020, methodology): “3) Approximation in Discrete Phase Shift Case F3: When F = F3, the common solution to address the non-convex constraint of discrete space is approximation projection [17], [23], [28].”