1 citations · 2 across the 5 of their papers we have counts for
6 papers
Rydberg Atomic Receivers for Wireless Communications: Fundamentals, Potential, Applications, and Challenges
Yin Zhang, Jiayi Zhang, Bokai Xu +10
Rydberg atomic receivers (RARs) leverage the quantum coherence of highly excited atoms to overcome the intrinsic physical limitations of conventional radio frequency receivers (RFR…
White-Box AI Model: Next Frontier of Wireless Communications
Jiayao Yang, Jiayi Zhang, Bokai Xu +7
White-box AI (WAI), or explainable AI (XAI) model, a novel tool to achieve the reasoning behind decisions and predictions made by the AI algorithms, makes it more understandable an…
Joint Cooperative Clustering and Power Control for Energy-Efficient Cell-Free XL-MIMO with Multi-Agent Reinforcement Learning
Ziheng Liu, Jiayi Zhang, Zhilong Liu +2
In this paper, we investigate the amalgamation of cell-free (CF) and extremely large-scale multiple-input multiple-output (XL-MIMO) technologies, referred to as a CF XL-MIMO, as a…
Graph Neural Network Meets Multi-Agent Reinforcement Learning: Fundamentals, Applications, and Future Directions
Ziheng Liu, Jiayi Zhang, Enyu Shi +5
Multi-agent reinforcement learning (MARL) has become a fundamental component of next-generation wireless communication systems. Theoretically, although MARL has the advantages of l…
Double-Layer Power Control for Mobile Cell-Free XL-MIMO with Multi-Agent Reinforcement Learning
Ziheng Liu, Jiayi Zhang, Zhilong Liu +2
Cell-free (CF) extremely large-scale multiple-input multiple-output (XL-MIMO) is regarded as a promising technology for enabling future wireless communication systems. Significant…
Cell-Free XL-MIMO Meets Multi-Agent Reinforcement Learning: Architectures, Challenges, and Future Directions
Zhilong Liu, Jiayi Zhang, Ziheng Liu +5
Cell-free massive multiple-input multiple-output (mMIMO) and extremely large-scale MIMO (XL-MIMO) are regarded as promising innovations for the forthcoming generation of wireless c…