Advancements in UAV-based Integrated Sensing and Communication: A Comprehensive Survey
January 11, 2025 ยท The Cartographer ยท ๐ arXiv.org
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"Title-pattern auto-detect: Advancements in UAV-based Integrated Sensing and Communication: A Comprehensive Survey"
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Authors
Manzoor Ahmed, Ali Arshad Nasir, Mudassir Masood, Kamran Ali Memon, Khurram Karim Qureshi, Feroz Khan, Wali Ullah Khan, Fang Xu, Zhu Han
arXiv ID
2501.06526
Category
cs.ET: Emerging Technologies
Cross-listed
cs.NI,
eess.SP
Citations
9
Venue
arXiv.org
Last Checked
10 days ago
Abstract
Unmanned aerial vehicle (UAV)-based integrated sensing and communication (ISAC) systems are poised to revolutionize next-generation wireless networks by enabling simultaneous sensing and communication (S\&C). This survey comprehensively reviews UAV-ISAC systems, highlighting foundational concepts, key advancements, and future research directions. We explore recent advancements in UAV-based ISAC systems from various perspectives and objectives, including advanced channel estimation (CE), beam tracking, and system throughput optimization under joint sensing and communication S\&C constraints. Additionally, we examine weighted sum rate (WSR) and sensing trade-offs, delay and age of information (AoI) minimization, energy efficiency (EE), and security enhancement. These applications highlight the potential of UAV-based ISAC systems to improve spectrum utilization, enhance communication reliability, reduce latency, and optimize energy consumption across diverse domains, including smart cities, disaster relief, and defense operations. The survey also features summary tables for comparative analysis of existing methodologies, emphasizing performance, limitations, and effectiveness in addressing various challenges. By synthesizing recent advancements and identifying open research challenges, this survey aims to be a valuable resource for developing efficient, adaptive, and secure UAV-based ISAC systems.
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