56 citations · 101 across the 29 of their papers we have counts for
10 papers · 1 filter
Full-Domain Coupler: A Wireless Native Neural Backbone for Channel Representation and Deduction
Zirui Chen, Ziqing Xing, Zhaoyang Zhang +5
Data representation is a fundamental issue in deep learning. However, as wireless data scales and deeply couples across many physical domains such as time, space, and frequency, ex…
Deep Mixture of Experts Network for Resource Optimization in Aerial-Terrestrial CF-mMIMO Systems under URLLC
Donggen Li, Chong Huang, Jingfu Li +4
As a critical component of sixth-generation (6G) wireless networks, ultra-reliable and low-latency communication (URLLC) is expected to support real-time and reliable information e…
Seeing Radio: From Zero RF Priors to Explainable Modulation Recognition with Vision Language Models
Hang Zou, Bohao Wang, Yu Tian +4
Current RF machine-learning pipelines rely on task-specific deep networks for modulation classification and related tasks, but these models require custom architectures and labeled…
Physics-Inspired Target Shape Detection and Reconstruction in mmWave Communication Systems
Ziqing Xing, Zhaoyang Zhang, Xin Tong +2
The integration of sensing and communication (ISAC) is an essential function of future wireless systems. Due to its large available bandwidth, millimeter-wave (mmWave) ISAC systems…
Toward Efficient and Privacy-Aware eHealth Systems: An Integrated Sensing, Computing, and Semantic Communication Approach
Yinchao Yang, Yahao Ding, Zhaohui Yang +4
Real-time and contactless monitoring of vital signs, such as respiration and heartbeat, alongside reliable communication, is essential for modern healthcare systems, especially in…
ICWLM: A Multi-Task Wireless Large Model via In-Context Learning
Yuxuan Wen, Xiaoming Chen, Maojun Zhang +3
The rapid evolution of wireless communication technologies, particularly massive multiple-input multiple-output (mMIMO) and millimeter-wave (mmWave), introduces significant network…
Integrated Sensing, Computing and Semantic Communication for Vehicular Networks
Yinchao Yang, Zhaohui Yang, Chongwen Huang +4
This paper introduces a novel framework for integrated sensing, computing, and semantic communication (ISCSC) within vehicular networks comprising a roadside unit (RSU) and multipl…
Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks
Jiaxiang Wang, Yinchao Yang, Zhaohui Yang +4
This paper investigates a novel generative artificial intelligence (GAI) empowered multi-user semantic communication system called semantic feature multiple access (SFMA) for video…
E-Healthcare Systems: Integrated Sensing, Computing, and Semantic Communication with Physical Layer Security
Yinchao Yang, Zhaohui Yang, Weijie Yuan +5
This paper introduces an integrated sensing, computing, and semantic communication (ISCSC) framework tailored for smart healthcare systems. The framework is evaluated in the contex…
Channel Deduction: A New Learning Framework to Acquire Channel from Outdated Samples and Coarse Estimate
Zirui Chen, Zhaoyang Zhang, Zhaohui Yang +2
How to reduce the pilot overhead required for channel estimation? How to deal with the channel dynamic changes and error propagation in channel prediction? To jointly address these…