Guowei Chen
Guowei Chen has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Weixiang Zhou
College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
1 shared publication - Xinqiang Chen
Shanghai Maritime University
1 shared publication - Ying Zhang
College of Information Engineering, Shanghai Maritime University, Shanghai, China
1 shared publication - Yongkang Chen
College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
1 shared publication - Yuandi Zhao
College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
1 shared publication - Zhi-Hua Hu
Logistics Research Center, Shanghai Maritime University, Shanghai, China
1 shared publication
Latest Publications
- Open Access
- 10 February 2026
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 14 (4) , 342
Satellite-Maritime Communication Network Based on RSMA and RIS: Sum Rate Maximization and Transmission Time Minimization
The maritime wireless communication network (MWCN) faces challenges such as limited coverage, inaccurate channel state information (CSI), and the sparse distribution of maritime vessel users. To overcome the above challenges, this paper proposes a low Earth orbit satellite (LEO) MWCN based on rate-splitting multiple access (RSMA) and reconfigurable intelligent surface (RIS). Common data streams transmit broadcast-shared information to all vessel users. Private data streams provide differentiated supplements. The primary optimization objective is to maximize the sum rate. The transmission time is also introduced as a supplementary performance indicator to assess the system’s transmission capability. To overcome the problems of imperfect CSI and the low efficiency of the weighted minimum mean square error (WMMSE) algorithm, a block coordinate descent (BCD) algorithm is proposed based on the deep unfolding method (DU) and momentum-accelerated projection gradient descent (PGD). Numerical results show that DU-WMMSE reduces the number of convergence iterations from 8 to 4, improves the sum rate by 11.06%, and achieves lower transmission time. In addition, active RIS mitigates severe fading more effectively in complex channels. The proposed scheme also exhibits excellent scalability.
- 10 February 2026
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 14 (4) , 342
Open AccessSatellite-Maritime Communication Network Based on RSMA and RIS: Sum Rate Maximization and Transmission Time Minimization
The maritime wireless communication network (MWCN) faces challenges such as limited coverage, inaccurate channel state information (CSI), and the sparse distribution of maritime vessel users. To overcome the above challenges, this paper proposes a low Earth orbit satellite (LEO) MWCN based on rate-splitting multiple access (RSMA) and reconfigurable intelligent surface (RIS). Common data streams transmit broadcast-shared information to all vessel users. Private data streams provide differentiated supplements. The primary optimization objective is to maximize the sum rate. The transmission time is also introduced as a supplementary performance indicator to assess the system’s transmission capability. To overcome the problems of imperfect CSI and the low efficiency of the weighted minimum mean square error (WMMSE) algorithm, a block coordinate descent (BCD) algorithm is proposed based on the deep unfolding method (DU) and momentum-accelerated projection gradient descent (PGD). Numerical results show that DU-WMMSE reduces the number of convergence iterations from 8 to 4, improves the sum rate by 11.06%, and achieves lower transmission time. In addition, active RIS mitigates severe fading more effectively in complex channels. The proposed scheme also exhibits excellent scalability.