The University of Southampton
University of Southampton Institutional Repository

In-wave computation aided stacked intelligent metasurfaces in next-generation networks: challenges and opportunities

In-wave computation aided stacked intelligent metasurfaces in next-generation networks: challenges and opportunities
In-wave computation aided stacked intelligent metasurfaces in next-generation networks: challenges and opportunities
1536-1284
Liu, Mengbing
5287f751-bcc9-4fd2-85bc-2f2f27900240
Yuen, Chau
e128c348-f2cb-4131-8cd1-d9fb11f0417f
Niyato, Dusit
6cfddd88-2f82-41be-9a10-ea98ed2aa74f
Clerckx, Bruno
eb818f0b-a6f1-4bd4-86c5-8371e53eefce
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Liu, Mengbing
5287f751-bcc9-4fd2-85bc-2f2f27900240
Yuen, Chau
e128c348-f2cb-4131-8cd1-d9fb11f0417f
Niyato, Dusit
6cfddd88-2f82-41be-9a10-ea98ed2aa74f
Clerckx, Bruno
eb818f0b-a6f1-4bd4-86c5-8371e53eefce
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Liu, Mengbing, Yuen, Chau, Niyato, Dusit, Clerckx, Bruno and Hanzo, Lajos (2026) In-wave computation aided stacked intelligent metasurfaces in next-generation networks: challenges and opportunities. IEEE Wireless Communications. (In Press)

Record type: Article
Text
In_Wave_Computation_Aided_Stacked_Intelligent_Metasurfaces_in_Next_Generation_Networks___Challenges_and_Opportunities_Final - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 5 March 2026

Identifiers

Local EPrints ID: 510497
URI: http://eprints.soton.ac.uk/id/eprint/510497
ISSN: 1536-1284
PURE UUID: bc65ae47-1fde-4d85-b957-1eefaeb5fca8
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 13 Apr 2026 09:51
Last modified: 15 Apr 2026 01:33

Export record

Contributors

Author: Mengbing Liu
Author: Chau Yuen
Author: Dusit Niyato
Author: Bruno Clerckx
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.

×