Digital Twin of Channel: Diffusion Model for Sensing-Assisted Statistical Channel State Information Generation

With the advancement of communication technology and the improvement of localization accuracy, cellular networks are gradually evolving from communication to perception-integrated networks. Addressing the research challenges of sensing-assisted communication, we propose, for the first time, the conc...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 24; H. 5; S. 3805 - 3821
Hauptverfasser:	Gong, Xinrui, Liu, Xiaofeng, Lu, An-An, Gao, Xiqi, Xia, Xiang-Gen, Wang, Cheng-Xiang, You, Xiaohu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	6G mobile communication Accuracy Artificial intelligence Cellular communication Communication deep generative model diffusion model Diffusion models Digital twin Digital twins Fingerprint recognition integrated sensing and communication Location awareness Neural networks Noise Sensors Simulation statistical channel information generation Training Virtual reality
ISSN:	1536-1276, 1558-2248
Online-Zugang:	Volltext
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