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.
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)
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
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
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
Author:
Hongbin Li
Author:
Derrick Wing Kwan Ng
Author:
Marco Di Renzo
Author:
Mérouane Debbah
Author:
Lajos Hanzo
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