AI-Enhanced Integrated Sensing and Communications: Advancements, Challenges, and Prospects

Integrated sensing and communication (ISAC) is a pivotal technology for future sixth generation (6G) communications. It aggregates wireless sensing and communication functionalities into one system while sharing spatial, temporal, and frequency resources. In this article, a review on artificial intelligence (AI) enhanced ISAC is provided by introducing AI algorithms to ISAC for performance gain. We first present a general system framework for AI-enhanced ISAC, delineating its advancements from the collaboration of sensing, communication, and AI. Subsequently, several potential usage scenarios are outlined together with the specific requirements and opportunities. Furthermore, we delve into the technical challenges that AI-enhanced ISAC must address. Finally, critical techniques and future research directions are highlighted to leverage the intelligence and adaptability of AI-enhanced ISAC within the prospective 6G ecosystem.

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Publication Details

Journal
IEEE Communications Magazine
Published
2024-09-01
DOI
https://doi.org/10.1109/mcom.001.2300724
Citations
53
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
11.06

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article

AI-Enhanced Integrated Sensing and Communications: Advancements, Challenges, and Prospects

Arumugam Nallanathan, Nan Wu, Wenqiang Yi, Lyuxiao Yang et al.
53 citations
IEEE Communications Magazine
Indoor and Outdoor Localization Technologies
11.06
article

AI-Enhanced Integrated Sensing and Communications: Advancements, Challenges, and Prospects

Arumugam Nallanathan, Nan Wu, Wenqiang Yi, Lyuxiao Yang, Rongkun Jiang, Xinyi Wang, Kecheng Zhang
article en
53 citations

Abstract

Integrated sensing and communication (ISAC) is a pivotal technology for future sixth generation (6G) communications. It aggregates wireless sensing and communication functionalities into one system while sharing spatial, temporal, and frequency resources. In this article, a review on artificial intelligence (AI) enhanced ISAC is provided by introducing AI algorithms to ISAC for performance gain. We first present a general system framework for AI-enhanced ISAC, delineating its advancements from the collaboration of sensing, communication, and AI. Subsequently, several potential usage scenarios are outlined together with the specific requirements and opportunities. Furthermore, we delve into the technical challenges that AI-enhanced ISAC must address. Finally, critical techniques and future research directions are highlighted to leverage the intelligence and adaptability of AI-enhanced ISAC within the prospective 6G ecosystem.

IEEE Communications MagazineVol. 62(9)
University of Essex (GB), Beijing Institute of Technology (CN), Queen Mary University of London (GB), Southern University of Science and Technology (CN), Kyung Hee University (KR)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 1%
Indoor and Outdoor Localization Technologies
11.06
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