Chu, X., Wu, Y., Benmesbah, L. et al. (1 more author) (2010) Resource allocation in hybrid macro/femto networks. In: 2010 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2010 - Proceedings. Wireless Communications and Networking Conference Workshops (WCNCW), 2010 IEEE , 18 Apr 2010, Sydney, NSW . ISBN 978-1-4244-6405-0
Abstract
Femtocell has been considered by the wireless industry as a promising solution not only to improve indoor coverage, but also to unload traffic from overburdened macrocell networks. In hybrid macro/femto networks, macrocells may have to share the same spectrum with femtocells, due to spectrum availability and network infrastructure considerations, in spite of potentially excessive interference caused by densely deployed femtocells. In this paper, we propose a decentralized resource allocation scheme for the orthogonal frequency division multiple access (OFDMA) downlink of a shared-spectrum macro/femto network, where each femtocell randomly selects a subset of available OFDMA resources for transmission, in order to achieve decentralized inter-cell interference avoidance. The performance of the decentralized resource allocation scheme is evaluated by simulations based on per-cell or network-wide performance metrics. Simulation results provide insights on how the resource allocation in a shared-spectrum hybrid macro/femto network should take into account the spatial density of femtocells and indoor/outdoor radio propagation channel conditions. © 2010 IEEE.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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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: | 17 Jun 2014 11:22 |
Last Modified: | 19 Dec 2022 13:25 |
Published Version: | http://dx.doi.org/10.1109/WCNCW.2010.5487658 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/WCNCW.2010.5487658 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:77305 |
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Filename: WCNC2010.pdf
