Low-Complexity Random Rotation-based Schemes for Intelligent Reflecting Surfaces
Constantinos Psomas, Ioannis Krikidis

TL;DR
This paper introduces four low-complexity, energy-efficient schemes for IRS-assisted wireless communication that utilize random phase rotations to enhance performance with limited channel information, achieving significant gains and full diversity.
Contribution
The paper presents a novel analytical framework and four new schemes based on random rotations, reducing complexity and energy consumption in IRS-aided systems.
Findings
All schemes achieve full diversity order.
Significant improvements in outage probability and energy efficiency.
Limited channel knowledge required for effective performance.
Abstract
The employment of intelligent reflecting surfaces (IRSs) is a potential and promising solution to increase the spectral and energy efficiency of wireless communication networks. Despite their many advantages, IRS-aided communications have limitations as they are subject to high propagation losses. To overcome this, the phase rotation (shift) at each element needs to be designed in such a way as to increase the channel gain at the destination. However, this increases the system's complexity as well as its power consumption. In this paper, we present an analytical framework for the performance of random rotation-based IRS-aided communications. Under this framework, we propose four low-complexity and energy efficient schemes, based on a coding or a selection approach. Both of these approaches employ random phase rotations and require limited knowledge of channel state information.…
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