This work investigates a robust resource allocation framework for a downlink multi-user communication system integrating movable antennas (MAs) and reconfigurable intelligent surfaces (RISs) under the rate-splitting multiple access (RSMA) transmission protocol. Unlike conventional fixed-position antenna architectures, the considered MAs-enabled system introduces spatially adaptive channel variations in which antenna positions directly influence the effective channel responses. Consequently, under imperfect channel state information (CSI), the impact of CSI uncertainty propagates not only through active and passive beamforming design, but also through the antenna position optimization process, leading to a highly coupled robust optimization problem. To address this challenge, we formulate a system sum-rate maximization problem by jointly optimizing the transmit precoding vectors, RIS reflection matrix, common-rate allocation, and MAs positions, subject to quality-of-service (QoS), power-budget, common-rate decoding, and mutual coupling constraints. The resulting non-convex problem is efficiently handled through an iterative robust optimization framework, where the original problem is successively decomposed into active beamforming, RIS reflection matrix, and MAs position optimization subproblems, and tractable convex surrogate functions are constructed to enable iterative optimization. Moreover, system robustness is ensured by incorporating a bounded CSI uncertainty model that explicitly captures channel estimation errors and guarantees reliable communication performance under worst-case channel conditions. Finally, extensive simulation results demonstrate that the proposed framework achieves significant performance gains and enhanced robustness compared with benchmark schemes, while also exhibiting fast and stable convergence behavior under practical imperfect CSI conditions.
RIS-Aided RSMA Improves the Latency vs. Energy Trade-off in the Finite Block Length MIMO Downlink
University of Paderborn（帕德博恩大学）；Imperial College London（帝国理工学院）；Friedrich Alexander University of Erlangen-Nuremberg（埃尔朗根-纽伦堡弗里德里希·亚历山大大学）；University of Southampton（南安普顿大学）
Exploiting Movable-Element STARS for Rate Splitting Multiple Access
Tongling University（铜陵大学）；University of Oulu（奥卢大学）；Queen’s University Belfast（贝尔法斯特女王大学）；Qilu Institute of Technology（齐鲁工业大学）；University of Luxembourg（卢森堡大学）
Flexible Rate-Splitting for Joint Unicast and Multi-Group Multicast Transmission in RIS-Assisted mmWave Networks
School of Electronics and Communication Engineering, Sun Yat-sen University（中山大学电子与通信工程学院）；Department of Broadband Communication, Peng Cheng Laboratory（鹏城实验室宽带通信部）；Department of Computer Science and Engineering, Qatar University（卡塔尔大学计算机科学与工程系）
Energy Consumption Optimization in RIS-Assisted Cooperative RSMA Cellular Networks
提出了一种下行链路可重构智能表面（RIS）辅助的半双工（HD）协作速率分割多址（C-RSMA）网络。建议的系统模型建立考虑一个基站（BS），一个RIS，和两个用户。以最小化网络能量消耗为目标，提出了一种联合框架，以优化BS处的预编码向量、公共流分割、中继设备发射功率、时隙分配以及RIS处的被动波束成形，该框架受到BS和中继节点处的功率预算约束、两个用户处的服务质量（QoS）约束以及公共流速率约束。由于优化变量之间的高度耦合，所述问题是非凸优化问题。为了解决这一挑战，一个有效的算法是通过调用交替优化技术，它分解成两个子问题，即子问题1和子问题2，这是交替解决的原始问题。具体地，子问题1是联合优化预编码向量、公共流分割和中继设备功率。同时，子问题2是优化RIS处的相移矩阵。为了解决子问题1，提出了一种基于逐次凸近似（SCA）的高效低复杂度解决方案。同时，借助于凸秩一差分表示和SCA方法，得到了RIS处相移矩阵的有效解。仿真结果表明，与RSMA方案、RIS-assisted HD cooperative non-orthogonal multiple access（C-NOMA）、RIS-assisted NOMA、HD C-RSMA without RIS和HD C-NOMA without RIS相比，所提出的RIS-assisted HD C-RSMA在最小化总能耗方面获得了显著的…
Robust Transceiver Design for RIS Enhanced Dual-Functional Radar-Communication with Movable Antenna
National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China（电子科技大学无线通信国家重点实验室）；School of Information Science and Engineering, Shandong University（山东大学信息科学与工程学院）；China Mobile Research Institute（中国移动研究院）
UAV-Mounted Hybrid RIS-Assisted ISAC-RSMA: Performance Analysis with Imperfect CSI and SIC
CWC, University of Oulu（奥卢大学无线通信中心）；Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology Jalandhar（贾朗达尔B.R.安贝德卡尔国立技术学院电子与通信工程系）；Ericsson（爱立信）；Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad（阿拉哈巴德莫蒂拉尔尼赫鲁国立技术学院电子与通信工程系）；Department of Electrical Engineering, IIT Indore（印多尔印度理工学院电气工程系）
Active Movable-Element RIS Assisted Vehicular Semantic Communications: Modeling and Optimization
Jiangnan University（江南大学）；Nanchang University（南昌大学）；Tsinghua University（清华大学）；Brunel University of London（伦敦布鲁内尔大学）；Shanghai Jiao Tong University（上海交通大学）
