The practical implementation of pinching-antenna systems (PASS) is challenging due to hardware limitations in large-scale antenna movement and continuous radiation power adjustment. This paper proposes a practical PASS-enabled downlink multi-user multiple-input multiple-output communication framework that enables discr...
Jie Jiang, Xiao-Xia Xu, Chan-Tong Lam et al.· 0 citations
Practical implementation of pinching-antenna systems (PASS) is challenging due to hardware limitations in large-scale antenna movement and continuous radiation power adjustment. This paper proposes a practical PASS-enabled downlink multiuser multiple-input multiple-output communication framework with discrete radiation...
Jie Jiang, Xiao-Xia Xu, Yuan-Wei Liu et al.· 2026 IEEE/CIC International...· 0 citations
This work develops a multi-agent reinforcement learning (MARL) algorithm, termed Multi-Agent Proximal Policy Optimization with Dirichlet Modeling (MAPPO-DM), which follows the centralized-training-and-decentralized-execution framework and models continuous traffic-splitting actions using a Dirichlet distribution.
Zhenyu Zhao, Tian-Kui Zhang, Xiao-Xia Xu et al.· 0 citations
A pinching-antenna system (PASS)-enabled multi-UAV integrated sensing and communication (ISAC) framework is proposed for adaptive downlink communications and UAV sensing. By jointly optimizing the pinching antenna (PA) activation, waveguide-level baseband precoding, and PA-level radiation power, the weighted sum of com...
Yang-Lin Hu, Tian-Kui Zhang, Xiao-Xia Xu et al.· IEEE Transactions on Wireles...· 0 citations
A hierarchical joint optimization algorithm is developed within a multi-agent deep reinforcement learning (MADRL) framework to coordinate UAVs and MTs in a distributed manner and outperforms other benchmarks under varying network scales and capabilities by jointly optimizing UAV operations and resource utilization.
Tian-Kui Zhang, Wenlong Xu, Tian-Yi Shi et al.· IEEE Internet of Things Jour...· 0 citations
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