Abstract
A machine learning (ML) based receiver for augmented spatial modulation (ASM) is constructed using a Naive-Bayesian classifier. The proposed approach reduces the system’s complexity. Its performance is compared with other eminent ML techniques.
© 2021 The Author(s)
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