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Author

Jing Jiang

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Sep 2026

AFDM-Aided Grouped RSMA for High-Mobility Downlink Transmissions

Rate-splitting multiple access (RSMA) has emerged as a flexible downlink framework for managing multiuser interference through common and private message splitting. However, in high-mobility scenarios, Doppler-induced intercarrier interference degrades RSMA-based transmission and motivates integration with a transform-...

Li Zhen, Qing-Zhi Meng, Yu-Rong Guo et al. · 0 citations
Aug 2026

Secure Beamforming for Active RIS-Aided ISAC Systems Based on Improved TD3 Algorithm

This paper focuses on physical-layer security against passive eavesdroppers in 6G integrated sensing and communication (ISAC) networks. It proposes an active reconfigurable intelligent surface (RIS)-aided secure-ISAC joint optimization framework, which utilizes the active RIS to overcome the multiplicative-fading bottl...

Xu-Tong Wang, Yi-Meng Ge, Chao Liu et al. · 0 citations
Aug 2026

Active RIS-Assisted Secure Beamforming for RSMA-ISAC System Based on Reinforcement Learning

This paper investigates a robust and secure beamforming scheme for a reconfigurable intelligent surface (RIS) assisted integrated sensing and communication (ISAC) system, employing rate-splitting multiple access (RSMA). In the presence of a potential eavesdropper, the system aims to provide high-quality communication s...

Xin-Tong Hou, Yi-Meng Ge, Tong-Xing Zheng et al. · 0 citations
Conference Aug 2026

Stacked Intelligent Metasurface Enabled Spatial Domain Index Modulation

This paper investigates a stacked intelligent metasurface (SIM)-enabled spatial domain index modulation framework. We propose a phase-regulated SIM-enabled spatial domain index modulation (SIM-SDIM) scheme, where spatial bits are mapped onto programmable phase-state combinations of multiple SIM layers. The cascaded SIM...

Chao Liu, Jian-Kun Qi, Xin-Yu Wang et al. · 0 citations
Open access 2026

ShellMean-MAPPO: A Conflict-Aware MARL Framework for Downlink Resource Allocation in Multi-Shell LEO Satellite Networks

This work proposes a structured multi-agent reinforcement learning (MARL) framework based on multi-agent proximal policy optimization (MAPPO), termed ShellMean-MAPPO, for downlink resource allocation with explicit conflict resolution, and demonstrates its advantages over representative MARL schemes in terms of scheduli...

Li Zhen, Qi-Hao Zhang, Qing-Zhi Meng et al. · 0 citations

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