TY - JOUR
T1 - Radio spectrum awareness using deep learning
T2 - Identification of fading channels, signal distortions, medium access control protocols, and cellular systems
AU - Zhou, Yu
AU - Alhazmi, Hatim
AU - Alhazmi, Mohsen H.
AU - Almarhabi, Alhussain
AU - Alymani, Mofadal
AU - He, Mingju
AU - Peng, Shengliang
AU - Samarkandi, Abdullah
AU - Sheng, Zikang
AU - Wang, Huaxia
AU - Yao, Yu Dong
N1 - Publisher Copyright:
© All articles included in the journal are copyrighted to the ITU and TUP
PY - 2021/3/1
Y1 - 2021/3/1
N2 - Radio spectrum awareness, including understanding radio signal activities, is crucial for improving spectrum utilization, detecting security vulnerabilities, and supporting adaptive transmissions. Related tasks include spectrum sensing, identifying systems and terminals, and understanding various protocol layers. In this paper, we investigate various identification and classification tasks related to fading channel parameters, signal distortions, Medium Access Control (MAC) protocols, radio signal types, and cellular systems. Specifically, we utilize deep learning methods in those identification and classification tasks. Performance evaluations demonstrate the effectiveness of deep learning in those radio spectrum awareness tasks.
AB - Radio spectrum awareness, including understanding radio signal activities, is crucial for improving spectrum utilization, detecting security vulnerabilities, and supporting adaptive transmissions. Related tasks include spectrum sensing, identifying systems and terminals, and understanding various protocol layers. In this paper, we investigate various identification and classification tasks related to fading channel parameters, signal distortions, Medium Access Control (MAC) protocols, radio signal types, and cellular systems. Specifically, we utilize deep learning methods in those identification and classification tasks. Performance evaluations demonstrate the effectiveness of deep learning in those radio spectrum awareness tasks.
UR - http://www.scopus.com/inward/record.url?scp=85123404849&partnerID=8YFLogxK
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U2 - 10.23919/ICN.2021.0004
DO - 10.23919/ICN.2021.0004
M3 - Article
AN - SCOPUS:85123404849
SN - 2708-6240
VL - 2
SP - 16
EP - 29
JO - Intelligent and Converged Networks
JF - Intelligent and Converged Networks
IS - 1
ER -