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Generative AI for Physical Layer Communications: A Survey
Nguyen Van Huynh, Jiacheng Wang, Hongyang Du +5
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of groundbreaking applications such as ChatGPT, which not only enhances the efficiency of di…
Learning Channel Capacity with Neural Mutual Information Estimator Based on Message Importance Measure
Zhefan Li, Rui She, Pingyi Fan +2
Channel capacity estimation plays a crucial role in beyond 5G intelligent communications. Despite its significance, this task is challenging for a majority of channels, especially…
Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO
Ruoxiao Cao, Hengtao He, Xianghao Yu +5
The next-generation wireless networks are envisioned to jointly support high-rate communications and ubiquitous sensing. Ultra-Massive Multiple-Input Multiple-Output (UM-MIMO) offe…
Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO
Wentao Yu, Hengtao He, Xianghao Yu +4
Holographic MIMO (HMIMO) is being increasingly recognized as a key enabling technology for 6G wireless systems through the deployment of an extremely large number of antennas withi…
URLLC-Awared Resource Allocation for Heterogeneous Vehicular Edge Computing
Qiong Wu, Wenhua Wang, Pingyi Fan +3
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular applications, where vehicles offload intensive computation tasks to the nearby VEC server fo…
Integrating Sensing, Communication, and Power Transfer: From Theory to Practice
Xiaoyang Li, Zidong Han, Guangxu Zhu +6
To support the development of internet-of-things applications, an enormous population of low-power devices are expected to be incorporated in wireless networks performing sensing a…