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

Nan Wu; Rongkun Jiang; Xinyi Wang; Lyuxiao Yang; Kecheng Zhang; Wenqiang Yi; Arumugam Nallanathan

doi:10.1109/MCOM.001.2300724

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

Nan Wu
, Rongkun Jiang^*
, Xinyi Wang
, Lyuxiao Yang
, Kecheng Zhang
, Wenqiang Yi
, Arumugam Nallanathan

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

53 Citations (Scopus)

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.

Original language	English
Pages (from-to)	144-150
Number of pages	7
Journal	IEEE Communications Magazine
Volume	62
Issue number	9
DOIs	https://doi.org/10.1109/MCOM.001.2300724
Publication status	Published - 2024

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10.1109/MCOM.001.2300724

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

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.",

author = "Nan Wu and Rongkun Jiang and Xinyi Wang and Lyuxiao Yang and Kecheng Zhang and Wenqiang Yi and Arumugam Nallanathan",

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T2 - Advancements, Challenges, and Prospects

AU - Wu, Nan

AU - Jiang, Rongkun

AU - Wang, Xinyi

AU - Yang, Lyuxiao

AU - Zhang, Kecheng

AU - Yi, Wenqiang

AU - Nallanathan, Arumugam

PY - 2024

Y1 - 2024

N2 - 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.

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

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