Adaptive power and subchannel allocation for dual-class OFDMA packet data networks

Gotsis, AG; Koutsokeras, NTh; Constantinou, P

dc.contributor.author	Gotsis, AG	en
dc.contributor.author	Koutsokeras, NTh	en
dc.contributor.author	Constantinou, P	en
dc.date.accessioned	2014-03-01T02:07:35Z
dc.date.available	2014-03-01T02:07:35Z
dc.date.issued	2012	en
dc.identifier.issn	09296212	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29584
dc.subject	Adaptive resource allocation	en
dc.subject	Heuristic algorithm	en
dc.subject	Integer linear programming	en
dc.subject	Multi-class QoS	en
dc.subject	Multi-objective optimization	en
dc.subject	OFDMA	en
dc.subject.other	Adaptive resource allocations	en
dc.subject.other	Integer Linear Programming	en
dc.subject.other	Multi objective optimizations (MOO)	en
dc.subject.other	Multi-class	en
dc.subject.other	OFDMA	en
dc.subject.other	Approximation algorithms	en
dc.subject.other	Heuristic algorithms	en
dc.subject.other	Multiobjective optimization	en
dc.subject.other	Orthogonal frequency division multiplexing	en
dc.subject.other	Resource allocation	en
dc.subject.other	Frequency division multiple access	en
dc.title	Adaptive power and subchannel allocation for dual-class OFDMA packet data networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s11277-010-0212-4	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s11277-010-0212-4	en
heal.publicationDate	2012	en
heal.abstract	Adaptive Radio Resource Allocation exploiting the inherent frequency selectivity of the wireless medium as well as the multi-user diversity effect is expected to play a crucial role in providing high QoS on emerging OFDMA-based wireless networks. Although a plethora of studies concerning exclusively constant bit rate (CBR) or variable bit rate/best effort (BE) traffic has been published to date, limited amount of work has been devoted to the more practical mixed CBR-BE data traffic scenario over OFDM radio access networks. In this paper we attempt to deal with the specific heterogeneous allocation problem, namely the maximization of elastic users' sum-throughput while providing minimum data rate service to a subset of non-elastic users. The contribution of this work is twofold. First, due to the high complexity of the resource allocation problem, we propose a relaxation method based on the prioritization of CBR- over BE-class users during the subchannel allocation procedure. We devise a method for obtaining the exact performance penalty induced by the specific hypothesis when compared to the optimal (unprioritized) decision. Secondly, we develop a polynomial complexity approximation algorithm for allocating power and bandwidth, that employs the CBR-prioritization idea. The scheme is shown to experience a relatively low performance penalty compared to its upper bound and to outperform two representative algorithms from the literature. © Springer Science+Business Media, LLC. 2010.	en
heal.journalName	Wireless Personal Communications	en
dc.identifier.doi	10.1007/s11277-010-0212-4	en
dc.identifier.volume	64	en
dc.identifier.issue	4	en
dc.identifier.spage	681	en
dc.identifier.epage	702	en