109 citations · 274 across the 36 of their papers we have counts for
37 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…
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…
Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations
Bohao Wang, Zitao Shuai, Fenghao Zhu +6
Multimodal fingerprinting is a crucial technique to sub-meter 6G integrated sensing and communications (ISAC) localization, but two hurdles block deployment: (i) the contribution e…
TeleMoM: Consensus-Driven Telecom Intelligence via Mixture of Models
Xinquan Wang, Fenghao Zhu, Chongwen Huang +5
Large language models (LLMs) face significant challenges in specialized domains like telecommunication (Telecom) due to technical complexity, specialized terminology, and rapidly e…
Over-the-Air ODE-Inspired Neural Network for Dual Task-Oriented Semantic Communications
Mengbing Liu, Jiancheng An, Chongwen Huang +1
Analog machine-learning hardware platforms promise greater speed and energy efficiency than their digital counterparts. Specifically, over-the-air analog computation allows offload…
Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks
Mengbing Liu, Chongwen Huang, Ahmed Alhammadi +3
Reconfigurable intelligent surface (RIS) is emerging as a promising technology for next-generation wireless communication networks, offering a variety of merits such as the ability…
Liquid Neural Networks: Next-Generation AI for Telecom from First Principles
Fenghao Zhu, Xinquan Wang, Chen Zhu +1
Artificial intelligence (AI) has emerged as a transformative technology with immense potential to reshape the next-generation of wireless networks. By leveraging advanced algorithm…
Electromagnetic Channel Modeling and Capacity Analysis for HMIMO Communications
Li Wei, Shuai S. A. Yuan, Chongwen Huang +6
Advancements in emerging technologies, e.g., reconfigurable intelligent surfaces and holographic MIMO (HMIMO), facilitate unprecedented manipulation of electromagnetic (EM) waves,…
Movable Antenna-Assisted Integrated Sensing and Communication Systems
Chengjun Jiang, Chensi Zhang, Chongwen Huang +3
Movable antennas (MAs) enhance flexibility in beamforming gain and interference suppression by adjusting position within certain areas of the transceivers. In this paper, we propos…
Multi-hop RIS-aided Learning Model Sharing for Urban Air Mobility
Kai Xiong, Hanqing Yu, Supeng Leng +2
Urban Air Mobility (UAM), powered by flying cars, is poised to revolutionize urban transportation by expanding vehicle travel from the ground to the air. This advancement promises…
RIS-aided Trajectory Optimization in Layered Urban Air Mobility
Kai Xiong, Supeng Leng, Liyuan Chen +3
Urban Air Mobility (UAM) relies on developing aerospace industries, where safe aviation and efficient communication are critical features of aircraft. However, it is challenging fo…
Multi-Sources Fusion Learning for Multi-Points NLOS Localization in OFDM System
Bohao Wang, Zitao Shuai, Chongwen Huang +7
Accurate localization of mobile terminals is a pivotal aspect of integrated sensing and communication systems. Traditional fingerprint-based localization methods, which infer coord…
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…
FAS vs. ARIS: Which Is More Important for FAS-ARIS Communication Systems?
Junteng Yao, Liaoshi Zhou, Tuo Wu +3
In this paper, we investigate the question of which technology, fluid antenna systems (FAS) or active reconfigurable intelligent surfaces (ARIS), plays a more crucial role in FAS-A…
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…
Beamforming Inferring by Conditional WGAN-GP for Holographic Antenna Arrays
Fenghao Zhu, Xinquan Wang, Chongwen Huang +5
The beamforming technology with large holographic antenna arrays is one of the key enablers for the next generation of wireless systems, which can significantly improve the spectra…
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…
Electromagnetic Information Theory for Holographic MIMO Communications
Li Wei, Tierui Gong, Chongwen Huang +6
Holographic multiple-input multiple-output (HMIMO) utilizes a compact antenna array to form a nearly continuous aperture, thereby enhancing higher capacity and more flexible config…
Robust Beamforming with Gradient-based Liquid Neural Network
Xinquan Wang, Fenghao Zhu, Chongwen Huang +5
Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) communication with the advanced beamforming technologies is a key enabler to meet the growing demands of future mobil…
Robust Continuous-Time Beam Tracking with Liquid Neural Network
Fenghao Zhu, Xinquan Wang, Chongwen Huang +6
Millimeter-wave (mmWave) technology is increasingly recognized as a pivotal technology of the sixth-generation communication networks due to the large amounts of available spectrum…
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…
Hashing Beam Training for Near-Field Communications
Yuan Xu, Li Wei, Chongwen Huang +6
In this paper, we investigate the millimeter-wave (mmWave) near-field beam training problem to find the correct beam direction. In order to address the high complexity and low iden…
Stochastic Geometry Analysis for Distributed RISs-Assisted mmWave Communications
Yuan Xu, Li Wei, Chongwen Huang +6
Millimeter wave (mmWave) has attracted considerable attention due to its wide bandwidth and high frequency. However, it is highly susceptible to blockages, resulting in significant…