Stacked-Intelligent-Surface-Assisted MIMO Integrated Sensing and Communication

This paper investigates the application of Stacked Intelligent Surfaces (SIS) in Integrated Sensing and Communication (ISAC) systems. Unlike conventional multiple-input multiple-output (MIMO) systems, SIS offer unique advantages in terms of complexity and energy efficiency by performing signal processing directly on radio waves, potentially reducing the need for extensive RF chains and antennas. We explore two SIS-assisted ISAC schemes: a hybrid digital-analog beamforming scheme and an analog-only beamforming scheme. To evaluate these schemes, we consider two case studies: integrated data transmission with channel estimation for the hybrid scheme, and data transmission integrated with target detection for the analog-only scheme. In the first scenario, we demonstrate that SIS can provide better rates and channel estimation accuracy compared with hybrid beamforming in multiple-input single-output (MISO) systems. In the second scenario, we show that SIS enable data transmission with target detection and radar beamforming that closely match binary-beam MIMO. Finally, we outline several future extensions to further enhance the capabilities and applicability of SIS-assisted ISAC systems.

Authors

Institutions

Publication Details

Journal
IEEE Network
Published
2024-11-11
DOI
https://doi.org/10.1109/mnet.2024.3495664
Citations
4
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stacked-Intelligent-Surface-Assisted MIMO Integrated Sensing and Communication

Omran Abbas, Anas Chaaban, Loïc Markley
4 citations
IEEE Network
Advanced Wireless Communication Technologies
0.83
article

Stacked-Intelligent-Surface-Assisted MIMO Integrated Sensing and Communication

Omran Abbas, Anas Chaaban, Loïc Markley
article en
4 citations

Abstract

This paper investigates the application of Stacked Intelligent Surfaces (SIS) in Integrated Sensing and Communication (ISAC) systems. Unlike conventional multiple-input multiple-output (MIMO) systems, SIS offer unique advantages in terms of complexity and energy efficiency by performing signal processing directly on radio waves, potentially reducing the need for extensive RF chains and antennas. We explore two SIS-assisted ISAC schemes: a hybrid digital-analog beamforming scheme and an analog-only beamforming scheme. To evaluate these schemes, we consider two case studies: integrated data transmission with channel estimation for the hybrid scheme, and data transmission integrated with target detection for the analog-only scheme. In the first scenario, we demonstrate that SIS can provide better rates and channel estimation accuracy compared with hybrid beamforming in multiple-input single-output (MISO) systems. In the second scenario, we show that SIS enable data transmission with target detection and radar beamforming that closely match binary-beam MIMO. Finally, we outline several future extensions to further enhance the capabilities and applicability of SIS-assisted ISAC systems.

IEEE NetworkVol. 39(1)
University of British Columbia (CA), University of British Columbia, Okanagan Campus (CA)
Affordable and clean energy
Openalex Percentile: Top 26%
Advanced Wireless Communication Technologies
0.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.