Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems

TL;DR

This paper analyzes the achievable data rates of an IOS-assisted NOMA system with holographic MIMO, deriving theoretical bounds considering hardware impairments, and demonstrating superior performance over OMA schemes.

Contribution

It introduces a novel IOS-assisted holographic MIMO architecture with NOMA, deriving ergodic rate bounds considering hardware impairments and infinite surface limits.

Findings

NOMA outperforms OMA in achievable rate.

Hardware impairments cause rate saturation at high SNR.

Theoretical bounds match simulation results.

Abstract

An intelligent omni-surface (IOS) assisted holographic multiple-input and multiple-output architecture is conceived for $360^\circ$ full-space coverage at a low energy consumption. The theoretical ergodic rate lower bound of our non-orthogonal multiple access (NOMA) scheme is derived based on the moment matching approximation method, while considering the signal distortion at transceivers imposed by hardware impairments (HWIs). Furthermore, the asymptotically ergodic rate lower bound is derived both for an infinite number of IOS elements and for continuous aperture surfaces. Both the theoretical analysis and the simulation results show that the achievable rate of the NOMA scheme is higher than that of its orthogonal multiple access counterpart. Furthermore, owing to the HWIs at the transceivers, the achievable rate saturates at high signal-to-noise ratio region, instead of reaching its theoretical maximum.