dc.contributor.authorYuan, Pu
dc.contributor.authorLiang, Ying-Chang
dc.contributor.authorBi, Guoan
dc.identifier.citationYuan, P., Liang, Y.-C., & Bi, G. (2012). Price-based distributed resource allocation for femtocell networks. 2012 IEEE International Conference on Communication Systems (ICCS).en_US
dc.description.abstractIn this paper, we investigate the resource allocation issues in spectrum-sharing-based two-tier networks, which are composed of several underlaid femtocells and a macrocell. The macrocell base station (MBS) partially shares its sub-carriers with femtocell users (FUs) while being protected by per-sub-carrier interference temperature constraint. We formulate this multi-user-multi-channel problem as a non-cooperative game, in which each FU acts individually to maximize its own profits, regardless of the impact on other players. To avoid serious interference to MBS, we introduce a price-based utility function of FUs with a per-channel interference constraint instead of the spectrum mask constraint. We prove the existence and uniqueness of Nash Equilibrium (NE) and introduce fully distributed algorithm based on simultaneous iterative-water-filling (IWF) like algorithm, which adjusts the sub-carrier price iteratively and the maximum transmit power. This approach enables FUs to select suitable sub-carriers and allocate the power in a distributed manner. Meanwhile, it gives sufficient protection to MBS in each sub-carrier. Experimental results have shown that the proposed approach converges fast to the NE while providing sufficient protection to the macrocell users.en_US
dc.rights© 2012 IEEE.en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering
dc.titlePrice-based distributed resource allocation for femtocell networksen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE International Conference on Communication Systems (2012 : Singapore)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US

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