66 citations · 73 across the 6 of their papers we have counts for
7 papers
Mixture-of-Experts Diffusion Models for Adaptive Massive MIMO Channel Estimation via Variational Bayesian Inference
Zhuorui Jiang, Jun Fang, Boyu Ning +2
Channel estimation is essential to massive multiple-input multiple-output (MIMO) systems. While recent generative model-based approaches using lightweight diffusion models (DMs) ha…
TSFLora: Token-Compressed Split Fine-Tuning for Wireless Edge Networks
Xianke Qiang, Zheng Chang, Li Wang +1
Adapting large AI models (LAMs) to personalized edge data is challenging because wireless devices have limited memory, computation, and uplink capacity. Federated fine-tuning prese…
Collaborative Spectrum Sensing in Cognitive and Intelligent Wireless Networks: An Artificial Intelligence Perspective
Peng Yi, Ying-Chang Liang
Artificial intelligence (AI) has become a key enabler for next-generation wireless communication systems, offering powerful tools to cope with the increasing complexity, dynamics,…
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…
Collaborative Computing in Non-Terrestrial Networks: A Multi-Time-Scale Deep Reinforcement Learning Approach
Yang Cao, Shao-Yu Lien, Ying-Chang Liang +3
Constructing earth-fixed cells with low-earth orbit (LEO) satellites in non-terrestrial networks (NTNs) has been the most promising paradigm to enable global coverage. The limited…
Deep Learning-Empowered Semantic Communication Systems with a Shared Knowledge Base
Peng Yi, Yang Cao, Xin Kang +1
Deep learning-empowered semantic communication is regarded as a promising candidate for future 6G networks. Although existing semantic communication systems have achieved superior…
Integrated Distributed Semantic Communication and Over-the-air Computation for Cooperative Spectrum Sensing
Peng Yi, Yang Cao, Xin Kang +1
Cooperative spectrum sensing (CSS) is a promising approach to improve the detection of primary users (PUs) using multiple sensors. However, there are several challenges for existin…