TY - GEN
T1 - A Three-State Markov Fading Model for Satellite Communication under Ionospheric Scintillation
AU - Liu, Junliang
AU - Li, Yunyao
AU - Zhang, Cheng
AU - Wang, Huan
AU - Xu, Guanjun
AU - Zhang, Qinyu
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Ionospheric scintillation in satellite communications can significantly impair system performance and occasionally lead to link outages. To characterize satellite channels affected by ionospheric scintillation, this study proposes a three-state Markov channel model that effectively captures the signal fading across varying scintillation intensities. The classification and regression tree algorithm is used to partition the scintillation intensities into three states, from which the state transition probability matrices are subsequently derived. The signal-to-noise ratio data in each state is fitted by α-μ distribution, and the differential evolution algorithm is employed to enhance the fitting efficiency. Dynamic simulation is employed to capture the temporal variations of the signal. The simulated and measured signals show a close match in their probability density functions and cumulative distribution functions curves, demonstrating the accuracy of the model.
AB - Ionospheric scintillation in satellite communications can significantly impair system performance and occasionally lead to link outages. To characterize satellite channels affected by ionospheric scintillation, this study proposes a three-state Markov channel model that effectively captures the signal fading across varying scintillation intensities. The classification and regression tree algorithm is used to partition the scintillation intensities into three states, from which the state transition probability matrices are subsequently derived. The signal-to-noise ratio data in each state is fitted by α-μ distribution, and the differential evolution algorithm is employed to enhance the fitting efficiency. Dynamic simulation is employed to capture the temporal variations of the signal. The simulated and measured signals show a close match in their probability density functions and cumulative distribution functions curves, demonstrating the accuracy of the model.
KW - Ionospheric scintillation
KW - fading characteristic
KW - multiple states
KW - satellite communication
KW - α-μ distribution
UR - https://www.scopus.com/pages/publications/105034110426
U2 - 10.1109/ICCT67417.2025.11374275
DO - 10.1109/ICCT67417.2025.11374275
M3 - 会议稿件
AN - SCOPUS:105034110426
T3 - International Conference on Communication Technology Proceedings, ICCT
SP - 651
EP - 655
BT - 2025 IEEE 25th International Conference on Communication Technology, ICCT 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Communication Technology, ICCT 2025
Y2 - 16 October 2025 through 18 October 2025
ER -