TY - GEN
T1 - Weighted Sum Rate Maximization for RIS and DMA Assisted Satellite IoT Networks
AU - Lv, Ziwei
AU - Chu, Zheng
AU - Chen, Gaojie
AU - Xiao, Pei
AU - Gong, Fengkui
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates an reconfigurable intelligent surface (RIS) and dynamic metasurface antennas (DMAs) assisted satellite Internet of Things (IoT) network, where the satellite is equipped with the DMA array to reduce the onboard power consumption and to serve the primary users. In addition, symbiotic radio (SR) technology is employed to assist RIS in transmitting its information to the secondary user. We formulate a weighted sum rate (WSR) maximization problem subject to the constraint of the satellite's transmit power, the DMA weight matrix, and the RIS phase shifts. To solve this non-convex optimization problem, we first employ the Lagrangian dual transform and quadratic transform algorithms to transform it into a tractable formulation. Then, the penalty convex-concave procedure principle is exploited to optimize the RIS phase shifts, while the complex circle manifold algorithm is employed to optimize the DMA weight matrix. Simulation results demonstrate the superiority and effectiveness of the proposed algorithm over the benchmark schemes, proving that the proposed RIS and DMA assisted satellite IoT network offers significant performance advantages.
AB - This paper investigates an reconfigurable intelligent surface (RIS) and dynamic metasurface antennas (DMAs) assisted satellite Internet of Things (IoT) network, where the satellite is equipped with the DMA array to reduce the onboard power consumption and to serve the primary users. In addition, symbiotic radio (SR) technology is employed to assist RIS in transmitting its information to the secondary user. We formulate a weighted sum rate (WSR) maximization problem subject to the constraint of the satellite's transmit power, the DMA weight matrix, and the RIS phase shifts. To solve this non-convex optimization problem, we first employ the Lagrangian dual transform and quadratic transform algorithms to transform it into a tractable formulation. Then, the penalty convex-concave procedure principle is exploited to optimize the RIS phase shifts, while the complex circle manifold algorithm is employed to optimize the DMA weight matrix. Simulation results demonstrate the superiority and effectiveness of the proposed algorithm over the benchmark schemes, proving that the proposed RIS and DMA assisted satellite IoT network offers significant performance advantages.
KW - Dynamic metasurface antenna
KW - reflecting intelligent surface
KW - satellite Internet of Things networks
UR - https://www.scopus.com/pages/publications/105016901674
U2 - 10.1109/SPAWC66079.2025.11143501
DO - 10.1109/SPAWC66079.2025.11143501
M3 - Conference contribution
AN - SCOPUS:105016901674
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - SPAWC 2025 - 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications, SPAWC 2025
Y2 - 7 July 2025 through 10 July 2025
ER -