42 citations · 114 across the 40 of their papers we have counts for
41 papers
Statistics Approximation-Enabled Distributed Beamforming for Cell-Free Massive MIMO
Zhe Wang, Emil Björnson, Jiayi Zhang +3
We study a distributed beamforming approach for cell-free massive multiple-input multiple-output networks, referred to as Global Statistics & Local Instantaneous information-based…
Low-Complexity Distributed Combining Design for Near-Field Cell-Free XL-MIMO Systems
Zhe Wang, Jiayi Zhang, Bokai Xu +4
In this paper, we investigate the low-complexity distributed combining scheme design for near-field cell-free extremely large-scale multiple-input-multiple-output (CF XL-MIMO) syst…
Low-Complexity Multi-Agent Continual Learning for Stacked Intelligent Metasurface-Assisted Secure Communications
Enyu Shi, Yiyang Zhu, Jiayi Zhang +6
Stacked intelligent metasurfaces (SIMs), composed of multiple layers of reconfigurable transmissive metasurfaces, are gaining prominence as a transformative technology for future w…
Near-field Spatial-domain Channel Extrapolation for XL-MIMO Systems
Jiayi Lu, Jiayi Zhang, Hao Lei +3
Extremely large-scale multiple-input multiple-output (XL-MIMO) systems are pivotal to next-generation wireless communications, where dynamic RF chain architectures offer enhanced p…
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…
Flexible MIMO for Future Wireless Communications: Which Flexibilities are Possible?
Zhe Wang, Jiayi Zhang, Bokai Xu +3
In conventional multiple-input multiple-output (MIMO), static array configurations struggle in dynamic environments, and further antenna scaling is bounded by cost, energy, and foo…
Energy-Efficient SIM-assisted Communications: How Many Layers Do We Need?
Enyu Shi, Jiayi Zhang, Jiancheng An +3
The stacked intelligent metasurface (SIM), comprising multiple layers of reconfigurable transmissive metasurfaces, is becoming an increasingly viable solution for future wireless c…
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…
Movable Cell-Free Massive MIMO For High-Speed Train Communications: A PPO-Based Antenna Position Optimization
Jie Dai, Yuchen Liu, Jiakang Zheng +3
In recent years, high-speed trains (HSTs) communications have developed rapidly to enhance the stability of train operations and improve passenger connectivity experiences. However…
Channel Estimation for Rydberg Atomic Receivers
Bokai Xu, Jiayi Zhang, Zhongtao Chen +4
The rapid development of the quantum technology presents huge opportunities for 6G communications. Leveraging the quantum properties of highly excited Rydberg atoms, Rydberg atom-b…
Beamforming Design for Beyond Diagonal RIS-Aided Cell-Free Massive MIMO Systems
Yizhuo Li, Jiakang Zheng, Bokai Xu +4
Reconfigurable intelligent surface (RIS)-aided cell-free (CF) massive multiple-input multiple-output (mMIMO) is a promising technology for further improving spectral efficiency (SE…
Joint Power Allocation and Phase Shift Design for Stacked Intelligent Metasurfaces-aided Cell-Free Massive MIMO Systems with MARL
Yiyang Zhu, Jiayi Zhang, Enyu Shi +3
Cell-free (CF) massive multiple-input multiple-output (mMIMO) systems offer high spectral efficiency (SE) through multiple distributed access points (APs). However, the large numbe…
Robust Multidimensional Graph Neural Networks for Signal Processing in Wireless Communications with Edge-Graph Information Bottleneck
Ziheng Liu, Jiayi Zhang, Yiyang Zhu +2
Signal processing is crucial for satisfying the high data rate requirements of future sixth-generation (6G) wireless networks. However, the rapid growth of wireless networks has br…
Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G
Jiayi Zhang, Ziheng Liu, Yiyang Zhu +9
The introduction of intelligent interconnectivity between the physical and human worlds has attracted great attention for future sixth-generation (6G) networks, emphasizing massive…
ROMA: ROtary and Movable Antenna
Jiayi Zhang, Wenhui Yi, Bokai Xu +3
The rotary and movable antenna (ROMA) architecture represents a next-generation multi-antenna technology that enables flexible adjustment of antenna position and array rotation ang…
Energy-Efficient RIS-Aided Cell-Free Massive MIMO Systems: Application, Opportunities, and Challenges
Yu Lu, Jiayi Zhang, Enyu Shi +4
Reconfigurable intelligent surfaces (RIS)-assisted cell-free massive multiple-input multiple-output (CF mMIMO) systems have emerged as a promising technology for sixth-generation c…
Deep Unfolding Beamforming and Power Control Designs for Multi-Port Matching Networks
Bokai Xu, Jiayi Zhang, Qingfeng Lin +3
The key technologies of sixth generation (6G), such as ultra-massive multiple-input multiple-output (MIMO), enable intricate interactions between antennas and wireless propagation…
Performance Analysis of XL-MIMO with Rotary and Movable Antennas for High-speed Railway
Wenhui Yi, Jiayi Zhang, Zhe Wang +2
The rotary and movable antennas (ROMA) technology is efficient in enhancing wireless network capacity by adjusting both the antenna spacing and three-dimensional (3D) rotation of a…
Mobile Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning: A Scalable Framework
Ziheng Liu, Jiayi Zhang, Yiyang Zhu +2
Cell-free massive multiple-input multiple-output (mMIMO) offers significant advantages in mobility scenarios, mainly due to the elimination of cell boundaries and strong macro dive…
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems
Hao Lei, Jiayi Zhang, Huahua Xiao +2
Extremely large-scale multiple-input multiple-output (XL-MIMO) is gaining attention as a prominent technology for enabling the sixth-generation (6G) wireless networks. However, the…
Joint Precoding and AP Selection for Energy Efficient RIS-aided Cell-Free Massive MIMO Using Multi-agent Reinforcement Learning
Enyu Shi, Jiayi Zhang, Ziheng Liu +5
Cell-free (CF) massive multiple-input multiple-output (mMIMO) and reconfigurable intelligent surface (RIS) are two advanced transceiver technologies for realizing future sixth-gene…
Cooperative Multi-Target Positioning for Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning
Ziheng Liu, Jiayi Zhang, Enyu Shi +3
Cell-free massive multiple-input multiple-output (mMIMO) is a promising technology to empower next-generation mobile communication networks. In this paper, to address the computati…
Distributed Collaborative User Positioning for Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning
Ziheng Liu, Jiayi Zhang, Enyu Shi +3
In this paper, we investigate a cell-free massive multiple-input multiple-output system, which exhibits great potential in enhancing the capabilities of next-generation mobile comm…
Rate-Splitting for Cell-Free Massive MIMO: Performance Analysis and Generative AI Approach
Jiakang Zheng, Jiayi Zhang, Hongyang Du +4
Cell-free (CF) massive multiple-input multipleoutput (MIMO) provides a ubiquitous coverage to user equipments (UEs) but it is also susceptible to interference. Ratesplitting (RS) e…