A Multiscale CNN Framework for Wireless Technique Classification in Internet of Things
Lu Yuan, Hao Zhang, Ming Qiang Xu, Fuhui Zhou, Qihui Wu · IEEE Internet of Things Journal · 2021
Wireless technique classification (WTC) is of crucial importance in Internet of Things for realizing efficient spectrum sharing and interference management. However, the existing deep-learning-based methods have low classification accuracy, especially at low signal-to-noise ratio levels. In this article, a multiscale convolutional neural network framework is proposed for WTC. A multiscale module is exploited to capture the higher abstraction features. Simulation results demonstrate that our proposed scheme can achieve a better classification performance and a higher convergence speed compared to the state-of-the-art schemes.