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Workshop: Machine Learning for IoT: Datasets, Perception, and Understanding

SHELL: Simple solution witH ELegant detaiLs to Sub-Nyquist Modulation Recognition

Kebin Wu · Yu Tian · Ebtesam Almazrouei · Faouzi Bader


Automatic modulation recognition of sub-Nyquist spectrum sensing is essential to demodulate and process the signals in a spectrum- and energy-efficient Internet of Things system. Motivated by the recent advances of deep learning, a promising direction is to automatically predict the modulation based on data-driven representation instead of hand-crafted features. Specifically, our solution SHELL (Simple solution witH ELegant detaiLs) provides a simple yet effective approach, which is capable of achieving high modulation recognition accuracy without complex network structure.

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