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Performance Analysis Based on MGF Fading Approximation in Hybrid Cooperative Communication

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Artificial Intelligence for Communications and Networks (AICON 2019)

Abstract

Wireless communications and power line communications (PLC) are essential components for smart grid communications. In this study, the performance of dual-hop wireless/power line hybrid fading system is analyzed from two aspects of outage probability and bit error rate (BER). The system adopts a hybrid fading model based on the general Nakagami-m wireless and lognormal (LogN) power line fading based on amplify and forward (AF) relay protocol, and the Bernoulli Gaussian noise model attached to the PLC channel. Since the LogN distribution has a certain similarity with the Gamma, the key parameters of PDF with approximated LogN distribution from Gamma distribution are determined by using the moment generating function (MGF) equation and the approximation of LogN variable sum. Then the exact closed-form expression of the system outage probability and BER are obtained by integral variation. Finally, Monte Carlo simulation is used to verify the correctness of the theory and analyze the influence of different system parameters on the performance.

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Acknowledgments

The research is supported by the National Natural Science Foundation of China (Nos. 61601182 and 61771195), Natural Science Foundation of Hebei Province (F2017502059 and F2018502047), and Fundamental Research Funds for the Central Universities (No. 2019MS088).

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Correspondence to Cong Ye .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ye, C., Chen, Z., Yuan, J., Wang, L. (2019). Performance Analysis Based on MGF Fading Approximation in Hybrid Cooperative Communication. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-030-22971-9_27

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  • DOI: https://doi.org/10.1007/978-3-030-22971-9_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22970-2

  • Online ISBN: 978-3-030-22971-9

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