Reference : The State of AI-Empowered Backscatter Communications: A Comprehensive Survey
E-prints/Working papers : Already available on another site
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
The State of AI-Empowered Backscatter Communications: A Comprehensive Survey
[en] The State of AI-Empowered Backscatter Communications: A Comprehensive Survey
Ahmed, Manzoor mailto []
Hussain, Touseef mailto []
Ali, Khurshed mailto []
Mirza, Muhammad Ayzed mailto []
Khan, Wali Ullah mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ihsan, Asim mailto []
Xu, Fang mailto []
Han, Zhu mailto []
[en] 6G ; Backscatter communication ; Artificial Intelligence/Machine learning
[en] The Internet of Things (IoT) is undergoing significant advancements, driven by the emergence of Backscatter Communication (BC) and Artificial Intelligence (AI). BC is an energy-saving and cost-effective communication method where passive backscatter devices communicate by modulating ambient Radio-Frequency (RF) carriers. AI has the potential to transform our way of communicating and interacting and represents a powerful tool for enabling the next generation of IoT devices and networks. By integrating AI with BC, we can create new opportunities for energy-efficient and low-cost communication and open the door to a range of innovative applications that were previously not possible. This paper brings these two technologies together to investigate the current state of AI-powered BC. We begin with an introduction to BC and an overview of the AI algorithms employed in BC. Then, we delve into the recent advances in AI-based BC, covering key areas such as backscatter signal detection, channel estimation, and jammer control to ensure security, mitigate interference, and improve throughput and latency. We also explore the exciting frontiers of AI in BC using B5G/6G technologies, including backscatter-assisted relay and cognitive communication networks, backscatter-assisted MEC networks, and BC with RIS, UAV, and vehicular networks. Finally, we highlight the challenges and present new research opportunities in AI-powered BC. This survey provides a comprehensive overview of the potential of AI-powered BC and its insightful impact on the future of IoT.
Researchers ; Professionals ; Students ; General public ; Others

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