TY - GEN
T1 - Sum-Rate Maximization of Multi-RIS-Assisted RSMA Networks with In-Band Over-The-Air RIS Control and Feedback Links
AU - Ofori-Amanfo, Kofi Amoako
AU - Asiedu, Derek Kwaku Pobi
AU - Yun, Ji Hoon
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In this paper, we propose a rate-splitting multiple access (RSMA) communication system assisted by multiple reconfigurable intelligent surface (RIS) devices, incorporating in-band over-the-air (OTA) control and feedback links for the RISs, and develop a corresponding radio resource allocation algorithm. To facilitate in-band OTA communication, each RIS is divided into two subsets: one dedicated to reflecting data signals from the base station (BS) toward users, and the other allocated for transmitting RIS feedback signals back to the BS. We present an alternating optimization approach that jointly optimizes the beamforming vectors at the BS and the reflection coefficients of the RISs. Specifically, our solution employs the weighted minimum mean square error (WMMSE) algorithm combined with a projection method to satisfy the RIS control rate constraints, while leveraging the Riemannian conjugate gradient algorithm for updating RIS reflection coefficients. Extensive simulation results demonstrate that the proposed scheme achieves robust and stable user sum-rate performance while effectively supporting the OTA control and feedback signaling. Additionally, the results provide insights into the impacts of RIS subset sizes, RIS control rate constraints, and BS transmit power on overall network performance.
AB - In this paper, we propose a rate-splitting multiple access (RSMA) communication system assisted by multiple reconfigurable intelligent surface (RIS) devices, incorporating in-band over-the-air (OTA) control and feedback links for the RISs, and develop a corresponding radio resource allocation algorithm. To facilitate in-band OTA communication, each RIS is divided into two subsets: one dedicated to reflecting data signals from the base station (BS) toward users, and the other allocated for transmitting RIS feedback signals back to the BS. We present an alternating optimization approach that jointly optimizes the beamforming vectors at the BS and the reflection coefficients of the RISs. Specifically, our solution employs the weighted minimum mean square error (WMMSE) algorithm combined with a projection method to satisfy the RIS control rate constraints, while leveraging the Riemannian conjugate gradient algorithm for updating RIS reflection coefficients. Extensive simulation results demonstrate that the proposed scheme achieves robust and stable user sum-rate performance while effectively supporting the OTA control and feedback signaling. Additionally, the results provide insights into the impacts of RIS subset sizes, RIS control rate constraints, and BS transmit power on overall network performance.
KW - OTA
KW - RIS control and feedback
KW - rate-splitting multiple access (RSMA)
KW - reconfigurable intelligent surface (RIS)
KW - sum-rate maximization
KW - symbiotic radio
UR - https://www.scopus.com/pages/publications/105036339573
U2 - 10.1109/GLOBECOM59602.2025.11432248
DO - 10.1109/GLOBECOM59602.2025.11432248
M3 - Conference contribution
AN - SCOPUS:105036339573
T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM
SP - 4263
EP - 4268
BT - GLOBECOM 2025 - 2025 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE Global Communications Conference, GLOBECOM 2025
Y2 - 8 December 2025 through 12 December 2025
ER -