Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing

B Kim, C Mecklenbräuker, P Gerstoft - arXiv preprint arXiv:2403.19292, 2024 - arxiv.org
In this study, the modulation of symbols on OFDM subcarriers is classified for transmissions
following Wi-Fi~ 6 and 5G downlink specifications. First, our approach estimates the OFDM …

MAMCA--Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal Length

Y Zhang, Z Zhou, Y Cao, G Li, X Li - arXiv preprint arXiv:2405.11263, 2024 - arxiv.org
With the rapid growth of the Internet of Things ecosystem, Automatic Modulation
Classification (AMC) has become increasingly paramount. However, extended signal …

Blind Modulation Classification of Wi-Fi 6 and 5G signals for Spectrum Sensing

B Kim, CF Mecklenbräuker, P Gerstoft - Proceedings of the Int'l ACM …, 2023 - dl.acm.org
Classification of modulation of Wi-Fi~ 6 and 5G downlink (DL) user data signals for spectrum
sensing is studied. First, the orthogonal frequency division multiplexing (OFDM) symbol …