The University of Southampton
University of Southampton Institutional Repository

Stacked intelligent metasurface-aided MIMO transceiver design

Stacked intelligent metasurface-aided MIMO transceiver design
Stacked intelligent metasurface-aided MIMO transceiver design
Next-generation wireless networks are expected to utilize the limited radio frequency (RF) resources more efficiently with the aid of intelligent transceivers. To this end, we propose a promising transceiver architecture relying on stacked intelligent metasurfaces (SIM). An SIM is constructed by stacking an array of programmable metasurface layers, where each layer consists of a massive number of low-cost passive meta-atoms that individually manipulate the electromagnetic (EM) waves. By appropriately configuring the passive meta-atoms, an SIM is capable of accomplishing advanced computation and signal processing tasks, such as multiple-input multiple-output (MIMO) precoding/combining, multi-user interference mitigation, and radar sensing, as the EM wave propagates through the multiple layers of the metasurface, which effectively reduces both the RF-related energy consumption and processing delay. Inspired by this, we provide an overview of the SIM-aided MIMO transceiver
design, which encompasses its hardware architecture and its potential benefits over state-of-the-art solutions. Furthermore, we discuss promising application scenarios and identify the open research challenges associated with the design of advanced
SIM architectures for next-generation wireless networks. Finally, numerical results are provided for quantifying the benefits of wave-based signal processing in wireless systems.
1536-1284
An, Jiancheng
5fa38cfb-6010-4404-a39c-f03c68f248c5
Yuen, Chau
0dd04333-bade-4812-b3df-a416597f1325
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Li, Hongbin
aff84645-5d73-49e3-b181-bf7cef805a89
Ng, Derrick Wing Kwan
8e2a32d3-cb0d-4c38-b05c-03ef16a5c707
Renzo, Marco Di
851ec05a-0f5d-49b1-aaf6-563604f8b809
Debbah, Mérouane
cda7dfb3-4162-4228-a479-8800143fcb5c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
An, Jiancheng
5fa38cfb-6010-4404-a39c-f03c68f248c5
Yuen, Chau
0dd04333-bade-4812-b3df-a416597f1325
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Li, Hongbin
aff84645-5d73-49e3-b181-bf7cef805a89
Ng, Derrick Wing Kwan
8e2a32d3-cb0d-4c38-b05c-03ef16a5c707
Renzo, Marco Di
851ec05a-0f5d-49b1-aaf6-563604f8b809
Debbah, Mérouane
cda7dfb3-4162-4228-a479-8800143fcb5c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

An, Jiancheng, Yuen, Chau, Xu, Chao, Li, Hongbin, Ng, Derrick Wing Kwan, Renzo, Marco Di, Debbah, Mérouane and Hanzo, Lajos (2023) Stacked intelligent metasurface-aided MIMO transceiver design. IEEE Wireless Communications. (In Press)

Record type: Article

Abstract

Next-generation wireless networks are expected to utilize the limited radio frequency (RF) resources more efficiently with the aid of intelligent transceivers. To this end, we propose a promising transceiver architecture relying on stacked intelligent metasurfaces (SIM). An SIM is constructed by stacking an array of programmable metasurface layers, where each layer consists of a massive number of low-cost passive meta-atoms that individually manipulate the electromagnetic (EM) waves. By appropriately configuring the passive meta-atoms, an SIM is capable of accomplishing advanced computation and signal processing tasks, such as multiple-input multiple-output (MIMO) precoding/combining, multi-user interference mitigation, and radar sensing, as the EM wave propagates through the multiple layers of the metasurface, which effectively reduces both the RF-related energy consumption and processing delay. Inspired by this, we provide an overview of the SIM-aided MIMO transceiver
design, which encompasses its hardware architecture and its potential benefits over state-of-the-art solutions. Furthermore, we discuss promising application scenarios and identify the open research challenges associated with the design of advanced
SIM architectures for next-generation wireless networks. Finally, numerical results are provided for quantifying the benefits of wave-based signal processing in wireless systems.

Text
Stacked_Intelligent_Metasurface_Aided_MIMO_Transceiver_Design - Accepted Manuscript
Download (831kB)

More information

Accepted/In Press date: 24 December 2023

Identifiers

Local EPrints ID: 485896
URI: http://eprints.soton.ac.uk/id/eprint/485896
ISSN: 1536-1284
PURE UUID: 7d54c0aa-d4e6-4f82-80b7-ae1b8ee281db
ORCID for Chao Xu: ORCID iD orcid.org/0000-0002-8423-0342
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 03 Jan 2024 23:20
Last modified: 18 Mar 2024 03:17

Export record

Contributors

Author: Jiancheng An
Author: Chau Yuen
Author: Chao Xu ORCID iD
Author: Hongbin Li
Author: Derrick Wing Kwan Ng
Author: Marco Di Renzo
Author: Mérouane Debbah
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.

×