Stacked Intelligent Metasurfaces for Wireless Communications: Applications and Challenges

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Liu, Hao, An, Jiancheng, Jia, Xing, Gan, Lu, Karagiannidis, George K., Clerckx, Bruno, Bennis, Mehdi, Debbah, Mérouane, Cui, Tie Jun
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916716251971584
author Liu, Hao
An, Jiancheng
Jia, Xing
Gan, Lu
Karagiannidis, George K.
Clerckx, Bruno
Bennis, Mehdi
Debbah, Mérouane
Cui, Tie Jun
author_facet Liu, Hao
An, Jiancheng
Jia, Xing
Gan, Lu
Karagiannidis, George K.
Clerckx, Bruno
Bennis, Mehdi
Debbah, Mérouane
Cui, Tie Jun
contents The rapid growth of wireless communications has created a significant demand for high throughput, seamless connectivity, and extremely low latency. To meet these goals, a novel technology -- stacked intelligent metasurfaces (SIMs) -- has been developed to perform signal processing by directly utilizing electromagnetic waves, thus achieving incredibly fast computing speed while reducing hardware requirements. In this article, we provide an overview of SIM technology, including its underlying hardware, benefits, and exciting applications in wireless communications. Specifically, we examine the utilization of SIMs in realizing transmit beamforming and semantic encoding in the wave domain. Additionally, channel estimation in SIM-aided communication systems is discussed. Finally, we highlight potential research opportunities and identify key challenges for deploying SIMs in wireless networks to motivate future research.
format Preprint
id arxiv_https___arxiv_org_abs_2407_03566
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stacked Intelligent Metasurfaces for Wireless Communications: Applications and Challenges
Liu, Hao
An, Jiancheng
Jia, Xing
Gan, Lu
Karagiannidis, George K.
Clerckx, Bruno
Bennis, Mehdi
Debbah, Mérouane
Cui, Tie Jun
Information Theory
Signal Processing
The rapid growth of wireless communications has created a significant demand for high throughput, seamless connectivity, and extremely low latency. To meet these goals, a novel technology -- stacked intelligent metasurfaces (SIMs) -- has been developed to perform signal processing by directly utilizing electromagnetic waves, thus achieving incredibly fast computing speed while reducing hardware requirements. In this article, we provide an overview of SIM technology, including its underlying hardware, benefits, and exciting applications in wireless communications. Specifically, we examine the utilization of SIMs in realizing transmit beamforming and semantic encoding in the wave domain. Additionally, channel estimation in SIM-aided communication systems is discussed. Finally, we highlight potential research opportunities and identify key challenges for deploying SIMs in wireless networks to motivate future research.
title Stacked Intelligent Metasurfaces for Wireless Communications: Applications and Challenges
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2407.03566