Ground robots are common in tunnels, yet rugged terrain and limited space make UAVs superior due to their agility. However, traditional hierarchical planning methods suffer from low global search efficiency, prolonged local re-planning times, and limited capability for diverse dynamic obstacles. To address these issues...
Yan-Xia Liang, Ya-Wen Zheng, Xin Liu et al.· Unmanned Systems· 0 citations
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.· IEEE International Symposium...· 0 citations
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.· International Symposium on W...· 0 citations
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.· International Symposium on W...· 0 citations
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.· 2026 IEEE/CIC International...· 0 citations
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.· IEEE Open Journal of the Com...· 0 citations
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