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Performance of Dynamic Access Class Barring Method in Cellular M2M Networks

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Abstract

Cellular based machine-to-machine (M2M) systems generate massive number of access requests which create congestion in the cellular network. The contention-based random access procedures are designed for cellular networks which cannot accommodate a large number of M2M traffic. In this paper, a contention-based slotted Aloha random access procedure for M2M network is first analyzed using different performance metrics. The impact of massive M2M traffic over cellular traffic is studied based on different arrival rate, random access opportunity and throughput. Then, an analytical model of selecting a base station (eNB) along with load balancing is developed. Finally, a dynamic access class barring method and RAN level congestion control mechanism by selecting the appropriate eNB is presented and evaluated with M2M traffic. Numerical results show that frame transmission rate influences the selection probability of the base stations. Moreover, the dynamic access class barring parameter along with frame transmission rate improve the overall throughput and access success probability among base stations as well as avoid overload situation in a particular base station.

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Authors and Affiliations

  1. WINCORE Lab, Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada

    Lilatul Ferdouse, Alagan Anpalagan & Mohan Nadarajah

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  1. Lilatul Ferdouse
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  2. Alagan Anpalagan
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  3. Mohan Nadarajah
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Correspondence to Alagan Anpalagan.

Additional information

This was financially supported in part by the NSERC Discovery grant and a part of this work was presented in IEEE PIMRC’15 held in Hong Kong.

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Ferdouse, L., Anpalagan, A. & Nadarajah, M. Performance of Dynamic Access Class Barring Method in Cellular M2M Networks. Wireless Pers Commun 91, 1471–1487 (2016). https://doi.org/10.1007/s11277-016-3540-1

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  • DOI: https://doi.org/10.1007/s11277-016-3540-1

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