Guo, W., Wang, S., Chu, X. et al. (3 more authors) (2013) Automated Small-Cell Deployment for Heterogeneous Cellular Networks. IEEE Communications Magazine, 51 (5). 46 - 53. ISSN 0163-6804
Abstract
Optimizing the cellular network's cell locations is one of the most fundamental problems of network design. The general objective is to provide the desired QoS with the minimum system cost. In order to meet a growing appetite for mobile data services, heterogeneous networks have been proposed as a cost- and energy-efficient method of improving local spectral efficiency. While unarticulated cell deployments can lead to localized improvements, there is a significant risk posed to network-wide performance due to the additional interference. The first part of the article focuses on state-of-the-art modelling and radio planning methods based on stochastic geometry and Monte Carlo simulations, and the emerging automatic deployment prediction technique for low-power nodes, or LPNs, in heterogeneous networks. The technique advises an LPN where it should be deployed, given certain knowledge of the network. The second part of the article focuses on algorithms that utilize interference and physical environment knowledge to assist LPN deployment. The proposed techniques can not only improve network performance, but also reduce radio planning complexity, capital expenditure, and energy consumption of the cellular network. The theoretical work is supported by numerical results from system-level simulations that employ real cellular network data and physical environments.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013 Institute of Electrical and Electronics Engineers. This is an author produced version of a paper subsequently published in IEEE Communications Magazine. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Feb 2014 15:46 |
Last Modified: | 15 Sep 2014 02:30 |
Published Version: | http://dx.doi.org/10.1109/MCOM.2013.6515046 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/MCOM.2013.6515046 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:77275 |