Book Section #66103

Chang, Chia-Wei, Lin, Yi-Hao, Ren, Yi and Chen, Jyh-Cheng (2017) UNSPECIFIED In: UNSPECIFIED IEEE Press. ISBN 978-1-5090-1329-6

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    Abstract

    Collecting data from a tremendous amount of Internet-of-Things (IoT) devices for next generation networks is a big challenge. A large number of devices may lead to severe congestion in Radio Access Network (RAN) and Core Network (CN). 3GPP has specified several mechanisms to handle the congestion caused by massive amounts of devices. However, detailed settings and strategies of them are not defined in the standards and are left for operators. In this paper, we propose two congestion control algorithms which efficiently reduce the congestion. Simulation results demonstrate that the proposed algorithms can achieve 20~40% improvement regarding accept ratio, overload degree and waiting time compared with those in LTE-A.

    Item Type: Book Section
    Faculty \ School: Faculty of Science > School of Computing Sciences
    Related URLs:
    Depositing User: Pure Connector
    Date Deposited: 26 Jan 2018 15:30
    Last Modified: 23 Oct 2018 00:35
    URI: https://ueaeprints.uea.ac.uk/id/eprint/66103
    DOI: 10.1109/GLOCOM.2016.7841680

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