Performance Analysis of Intelligent Reflecting Surface Assisted Opportunistic Communications
L. Yashvanth, Chandra R. Murthy

TL;DR
This paper investigates IRS-assisted opportunistic communication schemes that achieve near-optimal throughput with reduced complexity, by using randomized phase configurations and multi-user diversity, especially in sub-6 GHz and wideband OFDM systems.
Contribution
It introduces and analyzes alternative IRS schemes that do not require complex channel estimation, demonstrating their asymptotic optimality and extending the analysis to wideband OFDM systems.
Findings
Throughput converges to beamforming-based optimal as users increase.
Proposed schemes improve convergence rate of throughput.
IRS-assisted OC systems outperform conventional systems at low complexity.
Abstract
Intelligent reflecting surfaces (IRSs) are a promising technology for enhancing coverage and spectral efficiency, both in the sub-6 GHz and the millimeter wave (mmWave) bands. Existing approaches to leverage the benefits of IRS involve the use of a resource-intensive channel estimation step followed by a computationally expensive algorithm to optimize the reflection coefficients at the IRS. In this work, focusing on the sub-6 GHz band of communications, we present and analyze several alternative schemes, where the phase configuration of the IRS is randomized and multi-user diversity is exploited to opportunistically select the best user at each point in time for data transmission. We show that the throughput of an IRS assisted opportunistic communication (OC) system asymptotically converges to the optimal beamforming-based throughput under fair allocation of resources, as the number of…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Satellite Communication Systems · Cooperative Communication and Network Coding
