Wu, Nan and Jiang, Rongkun and Wang, Xinyi and Yang, Lyuxiao and Zhang, Kecheng and Yi, Wenqiang and Nallanathan, Arumugam (2024) AI-Enhanced Integrated Sensing and Communications: Advancements, Challenges, and Prospects. IEEE Communications Magazine, 62 (9). pp. 144-150. DOI https://doi.org/10.1109/mcom.001.2300724 (In Press)
Wu, Nan and Jiang, Rongkun and Wang, Xinyi and Yang, Lyuxiao and Zhang, Kecheng and Yi, Wenqiang and Nallanathan, Arumugam (2024) AI-Enhanced Integrated Sensing and Communications: Advancements, Challenges, and Prospects. IEEE Communications Magazine, 62 (9). pp. 144-150. DOI https://doi.org/10.1109/mcom.001.2300724 (In Press)
Wu, Nan and Jiang, Rongkun and Wang, Xinyi and Yang, Lyuxiao and Zhang, Kecheng and Yi, Wenqiang and Nallanathan, Arumugam (2024) AI-Enhanced Integrated Sensing and Communications: Advancements, Challenges, and Prospects. IEEE Communications Magazine, 62 (9). pp. 144-150. DOI https://doi.org/10.1109/mcom.001.2300724 (In Press)
Abstract
Integrated sensing and communication (ISAC) is 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 6G mobile communication; Wireless communication; Knowledge engineering; Wireless sensor networks; Ecosystems; Collaboration; Integrated sensing and communication |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 23 Jul 2024 16:23 |
| Last Modified: | 30 Oct 2024 21:05 |
| URI: | http://repository.essex.ac.uk/id/eprint/38110 |
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