S Peng, S Sun, YD Yao - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Modulation classification is one of the key tasks for communications systems monitoring, management, and control for addressing technical issues, including spectrum awareness …
This paper looks into the modulation classification problem for a distributed wireless spectrum sensing network. First, a new data-driven model for automatic modulation …
This paper presents end-to-end learning from spectrum data-an umbrella term for new sophisticated wireless signal identification approaches in spectrum monitoring applications …
Since the emergence of wireless communication networks, a plethora of research papers focus their attention on the quality aspects of wireless links. The analysis of the rich body of …
Z Ke, H Vikalo - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Identification of the type of communication technology and/or modulation scheme based on detected radio signal are challenging problems encountered in a variety of applications …
S Zheng, P Qi, S Chen, X Yang - IEEE Access, 2019 - ieeexplore.ieee.org
An automatic modulation classification has a very broad application in wireless communications. Recently, deep learning has been used to solve this problem and …
Abstract The number of Cyber-Physical Systems (CPS) available in industrial environments is growing mainly due to the evolution of the Internet-of-Things (IoT) paradigm. In such a …
X Liu, C Sun, M Zhou, C Wu, B Peng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid increase of industrial systems, industrial spectrum is stepping into the era of big data, and at the same time spectrum resources are facing serious shortage. Cognitive …
Abstract In 2016, Google proposed Federated Learning (FL) as a novel paradigm to train Machine Learning (ML) models across the participants of a federation while preserving data …