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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2018-09-27
Outage Prediction During Intense Rainstorm Events Using Queuing Theory and Markov Chains Over Radio Links
By
Mary Nabangala Ahuna,

    Dr. Mary Nabangala Ahuna

    Discipline of Electrical, Electronic and Computer Engineering

    University of KwaZulu-Natal

    South Africa

    Homepage

Thomas Joachim Odhiambo Afullo,

    Prof. Thomas Joachim Odhiambo Afullo

    School of Electrical, Electronic and Computer Engineering

    University of KwaZulu-Natal

    South Africa

    Homepage

Akintunde Ayodeji Alonge

    Dr. Akintunde Ayodeji Alonge

    Department of Computer Systems Engineering

    Tshwane University of Technology

    South Africa

    Homepage

Progress In Electromagnetics Research M, Vol. 73, 183-196, 2018
doi:10.2528/PIERM18060205 | Google Scholar

Abstract
Satellite communication links operating at higher frequency bands suffer from signal outages due to rain attenuation. Site diversity technique is one of the rain fade mitigation techniques that can be employed over earth-satellite links to improve on system availability. In this study, we use 5-year rainfall rate statistics and the queuing theory approach to investigate the attributes and behavior ofintense rain storms along an earth-space link over Durban, South Africa (29˚52'S, 30˚58'E), a sub-tropical climate. Thereafter, a comparison is made with results obtained in a related study in Jimma, Ethiopia (7.6667˚N, 36.8333˚E), which is a tropical climatic region. Verification of the best fit distribution is done through the application of the root mean square error (RMSE) and CHI squared statistics. Results of these analysis tools confirm the suitability of the proposed distributions with RMSE error margin in the range 0.0024 to 0.0128, and a χ2 statistics value of 0.4070. The spike service time for such rain storms is found to follow Erlang-k distribution in both regions of South Africa and Ethiopia as opposed to earlier determined exponential distribution. In addition, the analysis shows that there exists a power law relationship between the rain spike maximum rain rate and its diameter. This relationship is further utilized in the development of the rain cell sizing model that can be used for site diversity fade mitigation. Furthermore, the Markov chain techniqueis employed to determine the occurrence behavior of shower and storm rainfall regimes, and their contributions to rain attenuation over a slant path radio link.
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Citation
Mary Nabangala Ahuna, Thomas Joachim Odhiambo Afullo, and Akintunde Ayodeji Alonge, "Outage Prediction During Intense Rainstorm Events Using Queuing Theory and Markov Chains Over Radio Links," Progress In Electromagnetics Research M, Vol. 73, 183-196, 2018.
doi:10.2528/PIERM18060205
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