SINR Analysis of an IRS Assisted MU-MISO System

Jayalal, Lakshmi; Shekhar, Shashank; Subhash, Athira; Kalyani, Sheetal

doi:10.48550/arxiv.2208.03664

Cited by 1 publication

(1 citation statement)

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“…Works like [9]- [13] have focused on characterizing outage probability (OP) for IRS-assisted single-input-single-output (SISO) systems. Recently, authors in [14] characterized the SINR of an IRS-assisted multi-user multiple-input-single-output (MISO) system.…”

Section: Introductionmentioning

confidence: 99%

Instantaneous Channel Oblivious Phase Shift Design for an IRS-Assisted SIMO System with Quantized Phase Shift

Shekhar¹,

Subhash²,

Kella³

et al. 2022

Preprint

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We design the phase shifts of an intelligent reflecting surface (IRS)-assisted single-input-multipleoutput communication system to minimize the outage probability (OP) and to maximize the ergodic rate.Our phase shifts design uses only statistical channel state information since these depend only on the large-scale fading coefficients; the obtained phase shift design remains valid for a longer time frame. We further assume that one has access to only quantized phase values. The closed-form expressions for OP and ergodic rate are derived for the considered system. Next, two optimization problems are formulated to choose the phase shifts of IRS such that (i) OP is minimized and (ii) the ergodic rate is maximized. We used the multi-valued particle swarm optimization (MPSO) and particle swarm optimization (PSO) algorithms to solve the optimization problems. Numerical simulations are performed to study the impact of various parameters on the OP and ergodic rate. We also discuss signaling overhead between BS and IRS controller. It is shown that the overhead can be reduced up to 99.69% by using statistical CSI for phase shift design and 5 bits to represent the phase shifts without significantly compromising on the performance.

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Section: Introductionmentioning

confidence: 99%