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    Dynamic Idle Mode Control in Small Cell Networks


    Partov, Bahar and Leith, Douglas J. and Razavi, Rouzbeh and Claussen, Holger (2015) Dynamic Idle Mode Control in Small Cell Networks. In: IEEE International Conference on Communications (ICC), 2015. IEEE, pp. 185-191. ISBN 9781467364324

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    Abstract

    The deployment of both outdoor and indoor Small Cell Base Stations (SCBSs) has attracted significant interest in the wireless industry. However, a critical concern in a large scale deployment is the efficient control of the small cell’s transmission mode. In this paper we propose a load aware approach for dynamic idle mode selection where the load distribution is estimated by the “RF Fingerprints” of the users. Our approach allows pilot signals and most of the processing power of a SCBS to be completely switched off when no active user is in its vicinity, or when the required Quality of Service (QoS) can be provided by the underlying macro base stations. Such an approach significantly reduces the energy consumption of the small cells as well as reducing the pilot pollution and signalling overhead. We evaluate the efficiency of our approach using field measurements in central Dublin as well as with system-level simulations. We show that the proposed method is capable of identifying idle cells with an average prediction error rate of 1.9%. Moreover we show that it has the potential to achieve an average reduction of 90% in kWh power consumption compared to the concurrent operation of all SCBSs.

    Item Type: Book Section
    Keywords: Small cells; Idle Mode Control; Energy Efficiency;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 6961
    Identification Number: https://doi.org/10.1109/ICC.2015.7248319
    Depositing User: Hamilton Editor
    Date Deposited: 05 Feb 2016 17:03
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

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