TY - GEN
T1 - Modulation Classification of QAM Signals with Different Phase Noise Levels Using Deep Learning
AU - Alhazmi, Hatim
AU - Almarhabi, Alhussain
AU - Samarkandi, Abdullah
AU - Yao, Yu Dong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Spectrum awareness gained attention to solve the emerging communication problems, e.g., overcoming spectrum shortage and performing precise interference management. Phase noise and fading are well-known concerns in wireless communication, which could result from the channel or thermal noise that worsens the communication systems. Deep learning showed outstanding results in solving communication system problems compared to traditional methods. Our work focuses on automatic modulation classification with different phase noise levels in the fading channel using constellation diagrams as input. Our neural network demonstrates its capability to capture a different modulation format under different phase noise levels with excellent classification accuracy.
AB - Spectrum awareness gained attention to solve the emerging communication problems, e.g., overcoming spectrum shortage and performing precise interference management. Phase noise and fading are well-known concerns in wireless communication, which could result from the channel or thermal noise that worsens the communication systems. Deep learning showed outstanding results in solving communication system problems compared to traditional methods. Our work focuses on automatic modulation classification with different phase noise levels in the fading channel using constellation diagrams as input. Our neural network demonstrates its capability to capture a different modulation format under different phase noise levels with excellent classification accuracy.
KW - Automatic modulation classification
KW - Phase noise
KW - constellation diagram
KW - deep learning
KW - fading
KW - phase shift keying
KW - quadrature amplitude modulation
UR - http://www.scopus.com/inward/record.url?scp=85139206822&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139206822&partnerID=8YFLogxK
U2 - 10.1109/WOCC55104.2022.9880580
DO - 10.1109/WOCC55104.2022.9880580
M3 - Conference contribution
AN - SCOPUS:85139206822
T3 - 2022 31st Wireless and Optical Communications Conference, WOCC 2022
SP - 57
EP - 61
BT - 2022 31st Wireless and Optical Communications Conference, WOCC 2022
T2 - 31st Wireless and Optical Communications Conference, WOCC 2022
Y2 - 11 August 2022 through 12 August 2022
ER -