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
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.
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