Cloud Empowered Cognitive Inter-Cell Interference Coordination for Small Cellular Networks

Zaidi, S. A. R., McLernon, D. C., Ghogho, M. and Imran, M. A. (2015) Cloud Empowered Cognitive Inter-Cell Interference Coordination for Small Cellular Networks. In: 2015 IEEE International Conference on Communication Workshop (ICCW), London, UK, 08-12 Jun 2015, pp. 2218-2224. ISBN 9781467363051 (doi: 10.1109/ICCW.2015.7247511)

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Abstract

In this article, we present a Cloud empowered Cognitive Inter-Cell Interference Coordination (C2-ICIC) scheme for small cellular networks. The scheme leverages a recently proposed cloud radio access network (C-RAN) architecture for enabling intra-tier coordination and relaxes the need for inter-tier coordination by adopting the phantom cell architecture. Employing tools from stochastic geometry, we characterize the downlink success probability for a Mobile User (MU) scheduled under the proposed coordination scheme. It is shown that, compared to un-coordinated scheduling, significant performance gains can be realized in ultra dense small cell deployment scenarios under the proposed C2-ICIC scheme. This is attributed to the robust interference protection provisioned by the scheme. It is demonstrated that the gains are particularly large for the users experiencing a weak received signal strength. Indeed, for these users, the received signal-to-interference ratio (SIR) can only be improved by reducing the experienced aggregate co-channel interference. The closed-form expression derived for the downlink success probability is employed to quantify the link level throughput under the proposed scheme. Finally, we briefly explore the design space of the C2-ICIC scheme in terms of interference protection cap which determines both the downlink throughput of the MU scheduled in the coordination mode and the transmission opportunity for the co-channel small cells.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Zaidi, S. A. R., McLernon, D. C., Ghogho, M., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering
ISSN:2164-7038
ISBN:9781467363051

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