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

Authors :
Li, Qingchao
El-Hajjar, Mohammed
Sun, Yanshi
Hemadeh, Ibrahim
Tsai, Yingming
Shojaeifard, Arman
Hanzo, Lajos
Source :
IEEE Transactions on Vehicular Technology; 2024, Vol. 73 Issue: 5 p7400-7405, 6p
Publication Year :
2024

Abstract

An intelligent omni-surface (IOS) assisted holographic multiple-input and multiple-output architecture is conceived for <inline-formula><tex-math notation="LaTeX">$360^\circ$</tex-math></inline-formula> 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.

Details

Language :
English
ISSN :
00189545
Volume :
73
Issue :
5
Database :
Supplemental Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Periodical
Accession number :
ejs66413584
Full Text :
https://doi.org/10.1109/TVT.2023.3346791