Performance Analysis of Parasitic Communication in Reconfigurable Intelligent Surface Based Symbiotic Radio

In this letter, a reconfigurable intelligent surface (RIS)-based symbiotic radio is addressed, which enables parasite communication through the passive reflection characteristics of the RIS. In RIS-assisted parasite communication where the information is embedded in the phase of the legacy signal, the receiver estimates the signal without the modulation scheme information of the legacy signal. In decoding the information conveyed via phase, the use of automatic modulation classification (MC) for the legacy signal is required, along with demodulation of the phase-shifted signal. To characterize the impacts of automatic MC and demodulation, the performance of parasite communication is analyzed in terms of the symbol error rate. Simulation results are presented to verify the accuracy of the analysis and the validity of parasite communication in the presence of a practical range of the number of RIS elements.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lwc.2025.3554621
Citations
1
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.73
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article

Performance Analysis of Parasitic Communication in Reconfigurable Intelligent Surface Based Symbiotic Radio

Kyungsik Min, Minchae Jung, Taehyoung Kim
1 citations
IEEE Wireless Communications Letters
Advanced Wireless Communication Technologies
0.73
article

Performance Analysis of Parasitic Communication in Reconfigurable Intelligent Surface Based Symbiotic Radio

Kyungsik Min, Minchae Jung, Taehyoung Kim
article en
1 citations

Abstract

In this letter, a reconfigurable intelligent surface (RIS)-based symbiotic radio is addressed, which enables parasite communication through the passive reflection characteristics of the RIS. In RIS-assisted parasite communication where the information is embedded in the phase of the legacy signal, the receiver estimates the signal without the modulation scheme information of the legacy signal. In decoding the information conveyed via phase, the use of automatic modulation classification (MC) for the legacy signal is required, along with demodulation of the phase-shifted signal. To characterize the impacts of automatic MC and demodulation, the performance of parasite communication is analyzed in terms of the symbol error rate. Simulation results are presented to verify the accuracy of the analysis and the validity of parasite communication in the presence of a practical range of the number of RIS elements.

IEEE Wireless Communications Letters
Kookmin University (KR), Gachon University (KR), Sejong University (KR)
Openalex Percentile: Top 30%
Advanced Wireless Communication Technologies
0.73
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Performance Analysis of Parasitic Communication in Reconfigurable Intelligent Surface Based Symbiotic Radio — Kyungsik Min, Minchae Jung, et al. · IEEE Wireless Communications Letters (2025) | TGRS Research Map | TGRS