Enhancing Multi-Source Ambient Backscatter Communication With Transmit Power Coordination

In practical massive Internet of Things (IoT), the backscatter device (BD) in ambient backscatter communication (AmBC) systems can be illuminated by multiple ambient sources. However, multiple sources cause severe multi-source direct-link interference (M-DLI) to the BDs while providing multi-source backscattering. The signal-to-noise-plus-interference ratio (SINR) is sensitive to the transmit power of the sources. To fully benefit from multiple sources, this letter introduces transmit power coordination (TPC) strategies to suppress M-DLI and enhance backscattering by tuning the transmit power of the sources within their available ranges, which is particularly suitable for densely deployed passive BDs. To conduct the TPC strategies, the primary objective is to minimize the bit-error-rate (BER) in the multi-source AmBC system by solving a Rayleigh quotient (RQ) maximization problem. Simulation results show that the proposed TPC-assisted receive beamforming method achieves more efficient symbol detection than traditional AmBC detectors and outperforms conventional multi-antenna techniques, especially under low direct-link signal-to-noise ratio (SNR) conditions.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-04-25
DOI
https://doi.org/10.1109/lcomm.2025.3564338
Citations
2
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
1.46

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article

Enhancing Multi-Source Ambient Backscatter Communication With Transmit Power Coordination

Yuanan Liu, Diancheng Cheng, Dusit Niyato, Cong Zhang et al.
2 citations
IEEE Communications Letters
Energy Harvesting in Wireless Networks
1.46
article

Enhancing Multi-Source Ambient Backscatter Communication With Transmit Power Coordination

Yuanan Liu, Diancheng Cheng, Dusit Niyato, Cong Zhang, Fan Wu
article en
2 citations

Abstract

In practical massive Internet of Things (IoT), the backscatter device (BD) in ambient backscatter communication (AmBC) systems can be illuminated by multiple ambient sources. However, multiple sources cause severe multi-source direct-link interference (M-DLI) to the BDs while providing multi-source backscattering. The signal-to-noise-plus-interference ratio (SINR) is sensitive to the transmit power of the sources. To fully benefit from multiple sources, this letter introduces transmit power coordination (TPC) strategies to suppress M-DLI and enhance backscattering by tuning the transmit power of the sources within their available ranges, which is particularly suitable for densely deployed passive BDs. To conduct the TPC strategies, the primary objective is to minimize the bit-error-rate (BER) in the multi-source AmBC system by solving a Rayleigh quotient (RQ) maximization problem. Simulation results show that the proposed TPC-assisted receive beamforming method achieves more efficient symbol detection than traditional AmBC detectors and outperforms conventional multi-antenna techniques, especially under low direct-link signal-to-noise ratio (SNR) conditions.

IEEE Communications LettersVol. 29(6)
Beijing University of Posts and Telecommunications (CN), Nanyang Technological University (SG)
National Natural Science Foundation of China, National Postdoctoral Program for Innovative Talents
Affordable and clean energy
Openalex Percentile: Top 18%
Energy Harvesting in Wireless Networks
1.46
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