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Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects
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  • Hammam Salem ,
  • MD Muzakkir Quamar, ,
  • Adeb Magad ,
  • Mohammed Elrashidy, ,
  • Nasir Saeed ,
  • Mudassir Masood
Hammam Salem
King Fahd University of Petroleum & Minerals

Corresponding Author:[email protected]

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MD Muzakkir Quamar,
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Adeb Magad
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Mohammed Elrashidy,
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Nasir Saeed
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Mudassir Masood
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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.