Data-driven Integrated Sensing and Communication: Recent Advances,
Challenges, and Future Prospects
Abstract
This paper aims to explore integrating various ML techniques into ISAC
systems, covering various applications. These applications span
intelligent vehicular networks, encompassing unmanned aerial vehicles
(UAVs) and autonomous cars, as well as radar applications, localization
and tracking, millimeter wave (mmWave) and Terahertz (THz)
communication, and beamforming. The contributions of this paper lie in
its comprehensive survey of ML-based works in the ISAC domain and its
identification of challenges and future research directions. By
synthesizing the existing knowledge and proposing new research avenues,
this survey serves as a valuable resource for researchers,
practitioners, and stakeholders involved in advancing the capabilities
of ISAC systems in the context of 6G networks.