TY - GEN
T1 - Cellular Signal Identification Using Convolutional Neural Networks
T2 - 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
AU - Xia, Hongtao
AU - Alshathri, Khalid
AU - Lawrence, Victor B.
AU - Yao, Yu Dong
AU - Montalvo, Armando
AU - Rauchwerk, Michael
AU - Cupo, Robert
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Spectrum awareness is crucial in wireless communications systems for dynamic network environments. It is required for spectrum resource management, adaptive transmissions, and interference detection. Existing spectrum awareness research includes tasks of spectrum sensing, modulation classification, and medium access control protocol (MAC) identification. This paper explores the identification and classification of signals of various cellular networks, including Global System for Mobile (GSM), Universal Mobile Telecommunication Service (UMTS), and Long-Term Evolution (LTE). We utilize deep learning, specifically, convolutional neural networks (CNN), in training and testing wireless fading signals in those cellular networks. Experimentations demonstrate the effectiveness of deep learning in cellular signal identification.
AB - Spectrum awareness is crucial in wireless communications systems for dynamic network environments. It is required for spectrum resource management, adaptive transmissions, and interference detection. Existing spectrum awareness research includes tasks of spectrum sensing, modulation classification, and medium access control protocol (MAC) identification. This paper explores the identification and classification of signals of various cellular networks, including Global System for Mobile (GSM), Universal Mobile Telecommunication Service (UMTS), and Long-Term Evolution (LTE). We utilize deep learning, specifically, convolutional neural networks (CNN), in training and testing wireless fading signals in those cellular networks. Experimentations demonstrate the effectiveness of deep learning in cellular signal identification.
KW - Cellular system
KW - convolutional neural network (CNN)
KW - deep learning
KW - signal classification
KW - spectrum awareness
UR - http://www.scopus.com/inward/record.url?scp=85077975896&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077975896&partnerID=8YFLogxK
U2 - 10.1109/DySPAN.2019.8935857
DO - 10.1109/DySPAN.2019.8935857
M3 - Conference contribution
AN - SCOPUS:85077975896
T3 - 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
BT - 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
Y2 - 11 November 2019 through 14 November 2019
ER -