Realizing Spectrum and Power Sharing With Wi-Fi: A RIS-Assisted Symbiotic Radio Perspective

Symbiotic radio (SR) has emerged as a promising technology for enabling efficient spectrum and power sharing between active and backscattering transmissions. In this paper, we investigate the reconfigurable intelligent surface (RIS)-assisted SR system, where the primary transmission uses orthogonal frequency division multiplexing (OFDM) and the RIS transmits the secondary signal by backscattering the primary signal. The primary OFDM block and the secondary symbol have identical symbol periods but may not be perfectly synchronized, which can introduce inter-carrier interference (ICI) in the received OFDM blocks, thereby hindering joint signal detection. To address this issue, we propose a novel pilot structure and receiver design for SR. Specifically, the RIS sent a training sequence at the beginning of the secondary transmission, enabling the receiver to detect the presence of ICI and estimate essential parameters. If ICI is detected, two effective methods for synchronization offset estimation are proposed. Then, joint signal detection is improved by properly decoupling primary and secondary signals, mitigating the impact of synchronization offsets. On the other hand, if ICI is absent, the secondary signal arrival is identified using the training sequence, and joint signal detection is directly performed without suffering ICI. Simulation results validate the accuracy of the proposed estimation methods and show that the proposed detection methods ensure the reliable detection of both primary and secondary signals, even in the presence of ICI.

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Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2025-06-30
DOI
https://doi.org/10.1109/jsac.2025.3584503
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73

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article

Realizing Spectrum and Power Sharing With Wi-Fi: A RIS-Assisted Symbiotic Radio Perspective

Ying‐Chang Liang, Ruizhe Long, Gui Zhou, Hao Chen
1 citations
IEEE Journal on Selected Areas in Communications
Advanced MIMO Systems Optimization
0.73
article

Realizing Spectrum and Power Sharing With Wi-Fi: A RIS-Assisted Symbiotic Radio Perspective

Ying‐Chang Liang, Ruizhe Long, Gui Zhou, Hao Chen
article en
1 citations

Abstract

Symbiotic radio (SR) has emerged as a promising technology for enabling efficient spectrum and power sharing between active and backscattering transmissions. In this paper, we investigate the reconfigurable intelligent surface (RIS)-assisted SR system, where the primary transmission uses orthogonal frequency division multiplexing (OFDM) and the RIS transmits the secondary signal by backscattering the primary signal. The primary OFDM block and the secondary symbol have identical symbol periods but may not be perfectly synchronized, which can introduce inter-carrier interference (ICI) in the received OFDM blocks, thereby hindering joint signal detection. To address this issue, we propose a novel pilot structure and receiver design for SR. Specifically, the RIS sent a training sequence at the beginning of the secondary transmission, enabling the receiver to detect the presence of ICI and estimate essential parameters. If ICI is detected, two effective methods for synchronization offset estimation are proposed. Then, joint signal detection is improved by properly decoupling primary and secondary signals, mitigating the impact of synchronization offsets. On the other hand, if ICI is absent, the secondary signal arrival is identified using the training sequence, and joint signal detection is directly performed without suffering ICI. Simulation results validate the accuracy of the proposed estimation methods and show that the proposed detection methods ensure the reliable detection of both primary and secondary signals, even in the presence of ICI.

IEEE Journal on Selected Areas in CommunicationsVol. 43(11)
University of Electronic Science and Technology of China (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Project 211
Affordable and clean energy
Openalex Percentile: Top 27%
Advanced MIMO Systems Optimization
0.73
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