The State of AI-Empowered Backscatter Communications: A Comprehensive Survey

Author:

Ahmed Manzoor,Hussain Touseef,Ali Khurshed,Mirza Muhammad Ayzed,Khan Wali Ullah,Ihsan Asim,Xu Fang,Han Zhu

Abstract

<p>This paper brings these two technologies together to investigate the current state of AI-powered BC. </p> <p>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.</p>

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Joint optimization of UAV-IRS placement and resource allocation for wireless powered mobile edge computing networks;Journal of King Saud University - Computer and Information Sciences;2023-09

2. Minimizing energy consumption for NOMA multi-drone communications in automotive-industry 5.0;Journal of King Saud University - Computer and Information Sciences;2023-06

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