Transmission Design and Optimization for STAR-RIS-Assisted Symbiotic Radio Systems

• Published in: IEEE transactions on communications p. 1
• Main Authors: Wu, Mingjiang, Lei, Xianfu, Al-Nahhal, Ibrahim, Dobre, Octavia A., Sun, Luyao
• Format: Journal Article
• Language: English
• Published: IEEE 04.02.2025
• Subjects: ON-OFF keying; Reconfigurable intelligent surface; simultaneous transmission and reflection; stochastic optimization; symbiotic radio
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2025.3538832

This paper develops a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted symbiotic radio (SR) system, in which the STAR-RIS is deployed to transmit extra Internet of Things (IoT) data and simultaneously enhance the downlink transmission. A simple and efficient ON-OFF keying modulation scheme is applied by the STAR-RIS to modulate IoT data, which allows a low-complexity IoT transceiver and avoids the signal ambiguity. This work aims to maximize the weighted sum-rate (WSR) of downlink users, subject to the minimum received energy requirement of IoT transmission. Under the assumption of perfect channel state information (CSI), an efficient penalty dual decomposition (PDD)-based algorithm is proposed to solve the WSR maximization problem. By leveraging the PDD framework, the STAR-RIS's coefficients are updated with close-form expressions. For the imperfect CSI case, the WSR maximization problem becomes a challenging stochastic optimization task. To address it, the constrained stochastic successive convex approximation framework is employed. Additionally, an efficient projection method is proposed to handle the STAR-RIS's amplitude and coupled phase-shift constraints. Simulation results reveal the performance trade-off between the downlink transmission and the IoT transmission and validate the superiority of the proposed algorithms over the benchmarks.