Ergodic Spectral Efficiency Analysis of Intelligent Omni-Surface Aided Systems Suffering From Imperfect CSI and Hardware Impairments
Qingchao Li, Mohammed El-Hajjar, Lajos Hanzo

TL;DR
This paper analyzes the ergodic spectral efficiency of IOS-aided systems considering imperfect CSI and hardware impairments, proposing a two-timescale beamforming protocol and demonstrating the impact of HWIs on system performance.
Contribution
It introduces a novel analysis of IOS systems with realistic impairments and develops a two-timescale beamforming design considering hardware impairments and imperfect CSI.
Findings
HWIs significantly reduce spectral efficiency at high transmit power.
More AP antennas can effectively compensate for HWIs at the AP.
Passive IOS beamforming based on statistical CSI improves spectral efficiency.
Abstract
In contrast to the conventional reconfigurable intelligent surfaces (RIS), intelligent omni-surfaces (IOS) are capable of full-space coverage of smart radio environments by simultaneously transmitting and reflecting the incident signals. In this paper, we investigate the ergodic spectral efficiency of IOS-aided systems for transmission over random channel links, while considering both realistic imperfect channel state information (CSI) and transceiver hardware impairments (HWIs). Firstly, we formulate the linear minimum mean square error estimator of the equivalent channel spanning from the user equipments (UEs) to the access point (AP), where the transceiver HWIs are also considered. Then, we apply a two-timescale protocol for designing the beamformer of the IOS-aided system. Specifically, for the active AP beamformer, the minimum mean square error combining method is employed, which…
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