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.
Authors
- Ying‐Chang Liang
- Ruizhe Long (ORCID: https://orcid.org/0000-0003-0565-0515)
- Gui Zhou (ORCID: https://orcid.org/0000-0003-1812-8830)
- Hao Chen (ORCID: https://orcid.org/0000-0002-3972-196X)
Institutions
- University of Electronic Science and Technology of China (CN)
- Huazhong University of Science and Technology (CN)
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
Funders
- National Natural Science Foundation of China
- Project 211