Ambient Backscatter Communications: A Contemporary Survey
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Abstract (arXiv)
Recently, ambient backscatter communications has been introduced as a cutting-edge technology which enables smart devices to communicate by utilizing ambient radio frequency (RF) signals without requiring active RF transmission. This technology is especially effective in addressing communication and energy efficiency problems for low-power communications systems such as sensor networks. It is expected to realize numerous Internet-of-Things (IoT) applications. Therefore, this paper aims to provide a contemporary and comprehensive literature review on fundamentals, applications, challenges, and research efforts/progress of ambient backscatter communications. In particular, we first present fundamentals of backscatter communications and briefly review bistatic backscatter communications systems. Then, the general architecture, advantages, and solutions to address existing issues and limitations of ambient backscatter communications systems are discussed. Additionally, emerging applications of ambient backscatter communications are highlighted. Finally, we outline some open issues and future research directions.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Dec 2017.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2022When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challengescited by 6
- 2023Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inferencecited by 2
- 2024Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learningcited by 1
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Surveycited by 0
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Survey22 Jun 2026
- 2024Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning23 Oct 2024
- 2023Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference4 Jun 2023
- 2022When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges12 Jan 2022