Self organising cloud cells: a resource efficient network densification strategy

Alsedairy, T., Qi, Y., Imran, A., Imran, M. A. and Evans, B. (2015) Self organising cloud cells: a resource efficient network densification strategy. Transactions on Emerging Telecommunications Technologies, 26(8), pp. 1096-1107. (doi: 10.1002/ett.2824)

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Network densification is envisioned as the key enabler for 2020 vision that requires cellular systems to grow in capacity by hundreds of times to cope with unprecedented traffic growth trends being witnessed since advent of broadband on the move. However, increased energy consumption and complex mobility management associated with network densifications remain as the two main challenges to be addressed before further network densification can be exploited on a wide scale. In the wake of these challenges, this paper proposes and evaluates a novel dense network deployment strategy for increasing the capacity of future cellular systems without sacrificing energy efficiency and compromising mobility performance. Our deployment architecture consists of smart small cells, called cloud nodes, which provide data coverage to individual users on a demand bases while taking into account the spatial and temporal dynamics of user mobility and traffic. The decision to activate the cloud nodes, such that certain performance objectives at system level are targeted, is carried out by the overlaying macrocell based on a fuzzy-logic framework. We also compare the proposed architecture with conventional macrocell only deployment and pure microcell-based dense deployment in terms of blocking probability, handover probability and energy efficiency and discuss and quantify the trade-offs therein.

Item Type:Articles
Additional Information:This work was made possibleby NPRP Grant no. 5-1047-2437 from the Qatar NationalResearch Fund (a member of The Qatar Foundation).
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Alsedairy, T., Qi, Y., Imran, A., Imran, M. A., and Evans, B.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Transactions on Emerging Telecommunications Technologies
ISSN (Online):2161-3915
Published Online:14 April 2014
Copyright Holders:Copyright © 2014 The Authors
First Published:First published in Transactions on Emerging Telecommunications Technologies 26(8): 1096-1107
Publisher Policy:Reproduced under a Creative Commons License

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