109 citations · 118 across the 17 of their papers we have counts for
19 papers
Task-Oriented Wave Processing with Stacked Intelligent Metasurfaces: Framework, Fusion, and Challenges
Qiao Qi, Qiyu Chen, Jiancheng An +4
The deep integration of diverse services in sixth-generation (6G) networks poses significant challenges to conventional task-agnostic channels, often resulting in performance confl…
Recursive Flow: A Generative Framework for MIMO Channel Estimation
Zehua Jiang, Fenghao Zhu, Chongwen Huang +5
Channel estimation is a fundamental challenge in massive multiple-input multiple-output systems, where estimation accuracy governs the spectral efficiency and link reliability. In…
Unified Design of Space-Air-Ground-Sea Integrated Maritime Communications
Zhehan Zhou, Xiaoming Chen, Ming Ying +4
With the explosive growth of maritime activities, it is expected to provide seamless communications with quality of service (QoS) guarantee over broad sea area. In the context, thi…
Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising
Maojun Zhang, Guangxu Zhu, Xiaoming Chen +2
Inter-user interference remains a critical bottleneck in wireless communication systems, particularly in the emerging paradigm of semantic communication (SemCom). Compared to tradi…
Channel Estimation in Massive MIMO Systems with Orthogonal Delay-Doppler Division Multiplexing
Dezhi Wang, Chongwen Huang, Xiaojun Yuan +6
Orthogonal delay-Doppler division multiplexing~(ODDM) modulation has recently been regarded as a promising technology to provide reliable communications in high-mobility situations…
Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems
Xinquan Wang, Fenghao Zhu, Zhaohui Yang +5
Large artificial intelligence (AI) models offer revolutionary potential for future wireless systems, promising unprecedented capabilities in network optimization and performance. H…
Robust Deep Learning-Based Physical Layer Communications: Strategies and Approaches
Fenghao Zhu, Xinquan Wang, Chen Zhu +6
Deep learning (DL) has emerged as a transformative technology with immense potential to reshape the sixth-generation (6G) wireless communication network. By utilizing advanced algo…
Wireless large AI model: shaping the AI-empowered future of 6G and beyond
Fenghao Zhu, Xinquan Wang, Siming Jiang +22
The emergence of sixth-generation and beyond communication systems is expected to fundamentally transform digital experiences through introducing unparalleled levels of intelligenc…
Exploring Hannan Limitation for 3D Antenna Array
Ran Ji, Chongwen Huang, Xiaoming Chen +6
Hannan Limitation successfully links the directivity characteristics of 2D arrays with the aperture gain limit, providing the radiation efficiency upper limit for large 2D planar a…
Integrated Sensing and Communication in IRS-assisted High-Mobility Systems: Design, Analysis and Optimization
Xingyu Peng, Qin Tao, Xiaoling Hu +3
In this paper, we investigate integrated sensing and communication (ISAC) in high-mobility systems with the aid of an intelligent reflecting surface (IRS). To exploit the benefits…
FedsLLM: Federated Split Learning for Large Language Models over Communication Networks
Kai Zhao, Zhaohui Yang, Chongwen Huang +2
Addressing the challenges of deploying large language models in wireless communication networks, this paper combines low-rank adaptation technology (LoRA) with the splitfed learnin…
RIS-assisted Coverage Enhancement in mmWave Integrated Sensing and Communication Networks
Xu Gan, Chongwen Huang, Zhaohui Yang +6
Integrated sensing and communication (ISAC) has emerged as a promising technology to facilitate high-rate communications and super-resolution sensing, particularly operating in the…
Exploring Channel Estimation and Signal Detection for ODDM-based ISAC Systems
Dezhi Wang, Chongwen Huang, Lei Liu +5
Inspired by providing reliable communications for high-mobility scenarios, in this letter, we investigate the channel estimation and signal detection in integrated sensing and comm…
Exploiting Matrix Information Geometry for Integrated Decoding of Massive Uncoupled Unsourced Random Access
Feiyan Tian, Xiaoming Chen, Chongwen Huang +1
In this paper, we explore an efficient uncoupled unsourced random access (UURA) scheme for 6G massive communication. UURA is a typical framework of unsourced random access that add…
Low-Complexity Beam Training for Multi-RIS-Assisted Multi-User Communications
Yuan Xu, Chongwen Huang, Li Wei +5
In this paper, we investigate the beam training problem in the multi-user millimeter wave (mmWave) communication system, where multiple reconfigurable intelligent surfaces (RISs) a…
Coverage and Rate Analysis for Integrated Sensing and Communication Networks
Xu Gan, Chongwen Huang, Zhaohui Yang +6
Integrated sensing and communication (ISAC) is increasingly recognized as a pivotal technology for next-generation cellular networks, offering mutual benefits in both sensing and c…
Bayesian Learning for Double-RIS Aided ISAC Systems with Superimposed Pilots and Data
Xu Gan, Chongwen Huang, Zhaohui Yang +6
Reconfigurable intelligent surface (RIS) has great potential to improve the performance of integrated sensing and communication (ISAC) systems, especially in scenarios where line-o…
Robust Beamforming for RIS-aided Communications: Gradient-based Manifold Meta Learning
Fenghao Zhu, Xinquan Wang, Chongwen Huang +6
Reconfigurable intelligent surface (RIS) has become a promising technology to realize the programmable wireless environment via steering the incident signal in fully customizable w…
Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning
Xiaodan Shao, Lei Cheng, Xiaoming Chen +2
This paper investigates a reconfigurable intelligent surface (RIS)-aided unsourced random access (URA) scheme for the sixth-generation (6G) wireless networks with massive sporadic…