The University of Southampton
University of Southampton Institutional Repository

Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-free networks under hardware impairments

Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-free networks under hardware impairments
Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-free networks under hardware impairments
We propose a hybrid beamforming architecture for near-field reconfigurable holographic surfaces (RHS) harnessed in cell-free networks. Specifically, the holographic beamformer of each base station (BS) is designed for maximizing the channel gain based on the local channel state information (CSI). By contrast, the digital beamformer at the central processing unit is designed based on the minimum mean squared error criterion. Furthermore, the near-field spectral efficiency of the RHS in cell-free networks is derived theoretically by harnessing the popular stochastic geometry approach. We consider both the phase shift error (PSE) at the RHS elements and the hardware impairment (HWI) at the radio frequency (RF) chains of the transceivers. Furthermore, we theoretically derive the asymptotic capacity bound, when considering an infinite physical size for the RHS in the near-field channel model. The theoretical analysis and simulation results show that the PSE at the RHS elements and the HWI at the RF chains of transceivers limit the spectral efficiency in the high signal-to-noise ratio region. Moreover, we show that the PSE at the RHS elements and the HWI at the RF chains of BSs can be compensated by increasing the number of BSs. Finally, we also demonstrate that the ergodic spectral efficiency based on the near-field channel model is higher than that based on the far-field channel model assumption.
1536-1276
Li, Qingchao
69625501-d192-4a81-861f-f7ac9dd1e882
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Sun, Yanshi
df2b0b03-ddc1-4b0a-8216-d4b095c50dd5
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Li, Qingchao
69625501-d192-4a81-861f-f7ac9dd1e882
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Sun, Yanshi
df2b0b03-ddc1-4b0a-8216-d4b095c50dd5
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Li, Qingchao, El-Hajjar, Mohammed, Sun, Yanshi and Hanzo, Lajos (2024) Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-free networks under hardware impairments. IEEE Transactions on Wireless Communications. (In Press)

Record type: Article

Abstract

We propose a hybrid beamforming architecture for near-field reconfigurable holographic surfaces (RHS) harnessed in cell-free networks. Specifically, the holographic beamformer of each base station (BS) is designed for maximizing the channel gain based on the local channel state information (CSI). By contrast, the digital beamformer at the central processing unit is designed based on the minimum mean squared error criterion. Furthermore, the near-field spectral efficiency of the RHS in cell-free networks is derived theoretically by harnessing the popular stochastic geometry approach. We consider both the phase shift error (PSE) at the RHS elements and the hardware impairment (HWI) at the radio frequency (RF) chains of the transceivers. Furthermore, we theoretically derive the asymptotic capacity bound, when considering an infinite physical size for the RHS in the near-field channel model. The theoretical analysis and simulation results show that the PSE at the RHS elements and the HWI at the RF chains of transceivers limit the spectral efficiency in the high signal-to-noise ratio region. Moreover, we show that the PSE at the RHS elements and the HWI at the RF chains of BSs can be compensated by increasing the number of BSs. Finally, we also demonstrate that the ergodic spectral efficiency based on the near-field channel model is higher than that based on the far-field channel model assumption.

Text
TAMS - Accepted Manuscript
Download (1MB)

More information

Accepted/In Press date: 5 April 2024

Identifiers

Local EPrints ID: 488905
URI: http://eprints.soton.ac.uk/id/eprint/488905
ISSN: 1536-1276
PURE UUID: 8260fd92-49e3-4868-9201-625dc7a042d3
ORCID for Qingchao Li: ORCID iD orcid.org/0000-0003-4928-334X
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 09 Apr 2024 16:38
Last modified: 10 Apr 2024 02:04

Export record

Contributors

Author: Qingchao Li ORCID iD
Author: Mohammed El-Hajjar ORCID iD
Author: Yanshi Sun
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×