Chen H, Long R, Liang YC, Schober R (2024)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2024
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 4155-4160
Conference Proceedings Title: ICC 2024 - IEEE International Conference on Communications
ISBN: 9781728190549
DOI: 10.1109/ICC51166.2024.10622298
To support the massive Internet-of- Things (IoT) network, symbiotic radio (SR) has emerged as a promising solution that enables passive IoT connections by exploiting active primary transmissions. Realizing the enhanced spectrum- and energy-efficiency promised by SR requires symbol synchronization between the primary and IoT signals, which, however, remains challenging for cost-limited IoT devices. In this paper, we investigate reconfigurable intelligent surface (RIS)-assisted SR (RSR) with imperfect symbol synchronization. Specifically, the primary transmission employs orthogonal frequency division multiplexing (OFDM), while the RIS enhances the primary transmission and concurrently transmits its secondary signal by passively backscattering the incident primary signal. Due to the unknown synchronization offset (SO) between primary and secondary signals, the reflected channel via the RIS exhibits variations within each OFDM block, consequently leading to inter-carrier interference (ICI) in the received signal. To mitigate this unfavorable effect, we propose a novel receiver design by utilizing virtual subcarriers within each OFDM block. By employing energy detection at the virtual subcarriers, the receiver can detect the arrival of the secondary signal based on the ICI. Furthermore, by compensating the loss of orthogonality in the received OFDM block, the receiver can blindly estimate the SO, thereby facilitating joint detection of primary and secondary signals. Simulation results validate that our proposed receiver significantly improves the bit error rate (BER) performance for RSR with imperfect symbol synchronization.
APA:
Chen, H., Long, R., Liang, Y.C., & Schober, R. (2024). Blind Timing Estimation and Signal Detection for RIS-Assisted Symbiotic Radio with Imperfect Symbol Synchronization. In Matthew Valenti, David Reed, Melissa Torres (Eds.), ICC 2024 - IEEE International Conference on Communications (pp. 4155-4160). Denver, CO, US: Institute of Electrical and Electronics Engineers Inc..
MLA:
Chen, Hao, et al. "Blind Timing Estimation and Signal Detection for RIS-Assisted Symbiotic Radio with Imperfect Symbol Synchronization." Proceedings of the 59th Annual IEEE International Conference on Communications, ICC 2024, Denver, CO Ed. Matthew Valenti, David Reed, Melissa Torres, Institute of Electrical and Electronics Engineers Inc., 2024. 4155-4160.
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