Machine Learning Based Channel Estimation for 5G NR-V2V Communications: Sparse Bayesian Learning and Gaussian Progress Regression

In intelligent transportation systems (ITS), 5G NR-V2V communication is adopted to expand the connectivity and coverage of ITS applications, where the data needs to be processed directly in the on-board units (OBUs) deployed in the vehicle to meet the ultra-reliable and low latency communication (UR...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2023-11, Vol.24 (11), p.1-12
Hauptverfasser:	Liao, Yong, Li, Xue, Cai, Zhirong
Format:	Artikel
Sprache:	eng
Schlagworte:	5G mobile communication Algorithms basis expansion model Bayesian analysis Bessel functions Channel estimation Communication Complexity theory Data processing Data transmission Deep learning Gaussian process Intelligent transportation systems Kernel functions Machine learning Machine learning algorithms NR-V2V Signal processing algorithms sparse Bayesian learning Symbols Thermal expansion
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