21 citations · 38 across the 20 of their papers we have counts for
7 papers · 1 filter
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Hongyang Du, Ruichen Zhang, Yinqiu Liu +10
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy a…
Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems
Weixiao Wan, Wei Chen, Shiyue Wang +2
Scalability is a major concern in implementing deep learning (DL) based methods in wireless communication systems. Given various channel reconstruction tasks, applying one DL model…
Deep Learning for Asynchronous Massive Access with Data Frame Length Diversity
Yanna Bai, Wei Chen, Bo Ai +1
Grant-free non-orthogonal multiple access has been regarded as a viable approach to accommodate access for a massive number of machine-type devices with small data packets. The spo…
Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation
Xiao Gong, Wei Chen, Bo Ai +1
CANDECOMP/PARAFAC (CP) decomposition is the mostly used model to formulate the received tensor signal in a massive MIMO system, as the receiver generally sums the components from d…
Digital-SC: Digital Semantic Communication with Adaptive Network Split and Learned Non-Linear Quantization
Lei Guo, Wei Chen, Yuxuan Sun +1
Semantic communication, an intelligent communication paradigm that aims to transmit useful information in the semantic domain, is facilitated by deep learning techniques. Robust se…
Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding
Zhonghao Lyu, Guangxu Zhu, Jie Xu +2
With the recent advancements in edge artificial intelligence (AI), future sixth-generation (6G) networks need to support new AI tasks such as classification and clustering apart fr…
Uplink Power Control for Extremely Large-Scale MIMO with Multi-Agent Reinforcement Learning and Fuzzy Logic
Ziheng Liu, Zhilong Liu, Jiayi Zhang +3
In this paper, we investigate the uplink transmit power optimization problem in cell-free (CF) extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Instead of ap…