2022
DOI: 10.36227/techrxiv.20443917.v1
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Deep Neural Network Augmented Wireless Channel Estimation on System on Chip

Abstract: <p>Reliable and fast channel estimation is crucial for next-generation wireless networks supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) based channel estimation is being explored as an efficient alternative to conventional least-square (LS) and linear minimum mean square error (LMMSE) based channel estimation. Unlike LMMSE, DL methods do not need prior knowledge of channel statistics. Most of these approaches have not been realized on system-on-chip (SoC), and… Show more

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