Zheng, W., Su, T., Zhang, H. et al. (3 more authors) (2013) Distributed power optimization for spectrum-sharing femtocell networks: A fictitious game approach. Journal of Network and Computer Applications, 37. pp. 315-322. ISSN 1084-8045
Abstract
Power control techniques are becoming increasingly important for a two-tier network, where a central macrocell is underlaid with femtocells, since cross-tier and co-tier interference severely limits network performance. In this paper, we propose a distributed power control scheme for the uplink transmission of spectrum-sharing femtocell networks based on fictitious game. Each user announces a price that reflects its sensitivity to the current interference level, and adjusts its power to maximize its utility. Power and price are updated at terminals and base stations, respectively. The scheme is proved to converge to a unique optimal equilibrium. Furthermore, we propose a simple macrocell link protection scheme, where a macro user can protect itself by increasing its price. Most importantly, we investigate the power optimization scheme proposed in frequency-selective channels based on the Stackelberg game, in which each user prices its limited power allocated to subchannels. Numerical results show that the proposed schemes are effective in resource allocation for spectrum-sharing two-tier networks. Crown Copyright © 2013.
Metadata
Item Type: | Article |
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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 12:53 |
Last Modified: | 17 Jun 2014 12:53 |
Published Version: | http://dx.doi.org/10.1016/j.jnca.2013.03.004 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.jnca.2013.03.004 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:77284 |
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