Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: A new code-block index-modulation-aided differential chaotic shift keying system based on sparse code multiple access, referred to as CBI-SCMA-DCSK, is proposed in this paper. With the aim ...