A Radio Resource Management Framework for Multi-User Multi-Cell OFDMA Networks Based on Game Theory

Stiakogiannakis, IN; Kaklamani, DI

dc.contributor.author	Stiakogiannakis, IN	en
dc.contributor.author	Kaklamani, DI	en
dc.date.accessioned	2014-03-01T11:46:38Z
dc.date.available	2014-03-01T11:46:38Z
dc.date.issued	2012	en
dc.identifier.issn	09296212	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37991
dc.subject	Combinatorial auctions	en
dc.subject	Game theory	en
dc.subject	Margin adaptive	en
dc.subject	OFDMA	en
dc.subject	Power control	en
dc.subject	Radio resource management	en
dc.subject	Subcarrier allocation	en
dc.title	A Radio Resource Management Framework for Multi-User Multi-Cell OFDMA Networks Based on Game Theory	en
heal.type	other	en
heal.identifier.primary	10.1007/s11277-012-0610-x	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s11277-012-0610-x	en
heal.publicationDate	2012	en
heal.abstract	This work proposes a radio resource management framework employing game theoretic concepts for orthogonal frequency division multiple access, the most prevalent multiple access technique for the next generation wireless networks. The subcarrier allocation problem is encountered as a combinatorial auction, where the base station auctions the subcarriers and the users bid for and buy bundles of subcarriers, aiming at minimising their required transmit power. Subsequently, each allocated subcarrier is loaded with a number of bits, decided by each user independently, and the power control process is set up as a non-cooperative game. Each user responds to the interference sensed in his environment and, through a best responses process, the game converges to the unique, Pareto optimal, Nash equilibrium. In order to guarantee convergence, a limit is imposed to the maximum modulation level for each subcarrier. Simulation results show that the auction algorithm follows closely the performance of the optimal algorithm, whereas it is of lower computational complexity and requires less feedback information. Similarly, the proposed distributed bit loading and power control scheme achieves lower transmit power per offered bit rate unit. However, the distributed nature of the algorithm results in lower total offered bit rate, because of the partial knowledge and exploitation of channel state information. © 2012 Springer Science+Business Media, LLC.	en
heal.journalName	Wireless Personal Communications	en
dc.identifier.doi	10.1007/s11277-012-0610-x	en
dc.identifier.spage	1	en
dc.identifier.epage	26	en