Low-Complexity Transmission for STAR-RIS-Assisted Symbiotic Radio Using OOK
This paper proposes a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted symbiotic radio (SR) system, in which the transmission functionality of STAR-RIS is used to transmit extra Internet of Things (IoT) data and the reflection functionality of STAR-RI...
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Published in | Proceedings (International Conference on Communication Technology. Online) pp. 1702 - 1706 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
18.10.2024
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Subjects | |
Online Access | Get full text |
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Summary: | This paper proposes a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted symbiotic radio (SR) system, in which the transmission functionality of STAR-RIS is used to transmit extra Internet of Things (IoT) data and the reflection functionality of STAR-RIS is adopted to enhance the downlink transmission. STAR-RIS utilizes ON-OFF keying for IoT data modulation, which allows the IoT receiver to decode data using a low-complexity energy detector. The transmit beamforming at the base station and the transmission and reflection beamforming at the STAR-RIS are jointly optimized to maximize the weighted sum-rate (WSR) of downlink users, subject to the received power constraint of IoT transmission. Considering the practical coupled phase shift constraint of STAR-RIS, an efficient penalty dual decomposition-based algorithm is proposed to solve the formulated highly non-convex problem. Based on the obtained solution, the optimal IoT receiver and the theoretical bit error rate are further derived. Simulation results verify the effectiveness of the proposed STAR-RIS-assisted SR system. |
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ISSN: | 2576-7828 |
DOI: | 10.1109/ICCT62411.2024.10946281 |