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Adaptive Modulation and Coding Using Neural Network Based SNR Estimation | IEEE Journals & Magazine | IEEE Xplore

Adaptive Modulation and Coding Using Neural Network Based SNR Estimation


The power spectrum of the received signal according to SNR level.

Abstract:

In this paper, we propose a novel Adaptive Modulation and Coding (AMC) scheme enabled by Artificial Neural Network (ANN) aided Signal-to-Noise power Ratio (SNR) estimatio...Show More
Topic: Artificial Intelligence for Physical-Layer Wireless Communications

Abstract:

In this paper, we propose a novel Adaptive Modulation and Coding (AMC) scheme enabled by Artificial Neural Network (ANN) aided Signal-to-Noise power Ratio (SNR) estimation. The Power Spectral Density (PSD) values are trained for SNR classification and it is mapped to respective Modulation and Coding Scheme (MCS) sets. Once trained, optimal MCS can be determined in low calculation complexity. The proposed approach is robust especially in high mobility environment since the PSD appearance is hardly influenced by the Doppler shift. Its effectiveness in terms of throughput is presented through computer simulations compared to the existing Error Vector Magnitude (EVM) based link adaptation scheme.
Topic: Artificial Intelligence for Physical-Layer Wireless Communications
The power spectrum of the received signal according to SNR level.
Published in: IEEE Access ( Volume: 7)
Page(s): 183545 - 183553
Date of Publication: 14 October 2019
Electronic ISSN: 2169-3536

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