A Note on Implementation Methodologies of Deep Learning-Based Signal Detection for Conventional MIMO Transmitters
Abstract
Baek et al. proposed a deep learning-based signal detector for conventional MIMO systems, which is a pioneering work of applying artificial intelligence into wireless communications. Although this work works well under static fading channels, it is worth notable that it fails to work under block-fading channels. In particular, the detection BER under block-fading channels is around 0.5 even in the high regime of SNR. To explain this unexpected...
Paper Details
Title
A Note on Implementation Methodologies of Deep Learning-Based Signal Detection for Conventional MIMO Transmitters
Published Date
Sep 1, 2020
Volume
66
Issue
3
Pages
744 - 745
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