Zheng, W., Zhang, H., Chu, X. et al. (1 more author) (2013) Mobility robustness optimization in self-organizing LTE femtocell networks. EURASIP Journal on Wireless Communications and Networking (EURASIP JWCN), 27. ISSN 1687-1472
Abstract
Femtocell is a promising solution for enhancing the indoor coverage and capacity in wireless networks. However, for the small size of femtocell and potentially frequent power on/off, existing handover schemes may not be reliable enough for femtocell networks. Moreover, improper handover parameters settings may lead to handover failures and unnecessary handovers, which make it necessary to enhance the mobility robustness for femtocells. In this article, we propose a gradient method and cost function-based mobility robustness optimization scheme for long term evolution (LTE) femtocell self-organizing networks. Moreover, signalling overhead of the scheme is analyzed. Simulation results show that the proposed scheme has a better performance than the fixed parameters method in terms of reduced the number of handover failures and unnecessary handovers with limited signalling modifications.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013 Zheng et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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 15:34 |
Last Modified: | 20 Mar 2018 22:23 |
Published Version: | http://dx.doi.org/10.1186/1687-1499-2013-27 |
Status: | Published |
Publisher: | Springer Verlag |
Refereed: | Yes |
Identification Number: | 10.1186/1687-1499-2013-27 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:77285 |