Multiaccess multicell distributed resource management framework in heterogeneous wireless networks

Aristomenopoulos, G; Kastrinogiannis, T; Papavassiliou, S

dc.contributor.author	Aristomenopoulos, G	en
dc.contributor.author	Kastrinogiannis, T	en
dc.contributor.author	Papavassiliou, S	en
dc.date.accessioned	2014-03-01T02:11:28Z
dc.date.available	2014-03-01T02:11:28Z
dc.date.issued	2012	en
dc.identifier.issn	00189545	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29911
dc.subject	Dual decomposition	en
dc.subject	integrated heterogeneous wireless network	en
dc.subject	quality-of-service (QoS)-aware resource allocation	en
dc.subject.other	Distributed resource allocation	en
dc.subject.other	Distributed resource management	en
dc.subject.other	Dual decomposition	en
dc.subject.other	Global optimizer	en
dc.subject.other	Heterogeneous wireless network	en
dc.subject.other	Integrated networks	en
dc.subject.other	Low-complexity	en
dc.subject.other	Multiaccess	en
dc.subject.other	Multicell	en
dc.subject.other	Multiple access	en
dc.subject.other	Numerical results	en
dc.subject.other	Operation point	en
dc.subject.other	Performance Gain	en
dc.subject.other	Performance optimizations	en
dc.subject.other	Resource allocation constraints	en
dc.subject.other	Resource allocation schemes	en
dc.subject.other	Service performance	en
dc.subject.other	Service-aware	en
dc.subject.other	Sub-gradient algorithm	en
dc.subject.other	User-centric	en
dc.subject.other	Utility functions	en
dc.subject.other	Wireless environment	en
dc.subject.other	Integration	en
dc.subject.other	Resource allocation	en
dc.subject.other	Wireless networks	en
dc.subject.other	Quality of service	en
dc.title	Multiaccess multicell distributed resource management framework in heterogeneous wireless networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TVT.2012.2198504	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TVT.2012.2198504	en
heal.identifier.secondary	6197749	en
heal.publicationDate	2012	en
heal.abstract	Efficient distributed resource allocation and users to cells assignment over a heterogeneous integrated wireless environment is addressed, where multiple-access technologies coexist and cooperate toward achieving network-wide quality-of-service (QoS)-aware utility-based performance optimization. The integrated network is viewed as a global optimizer under appropriate intracell resource allocation constraints. Multiaccess diversity is addressed by setting a user-centric service-aware goal, thus maximizing users' QoS-aware service performance satisfaction, as expressed through properly assigned utility functions. The integrated network utility maximization problem is treated through a two-level dual-decomposition methodology, leading to a low-complexity distributed iterative subgradient algorithm for attaining a network-wide near-optimal operation point. Extensive numerical results verify the analytical claims, demonstrate the applicability of the proposed framework, and illustrate that significant performance gains can be achieved over popular existing resource allocation schemes. © 2012 IEEE.	en
heal.journalName	IEEE Transactions on Vehicular Technology	en
dc.identifier.doi	10.1109/TVT.2012.2198504	en
dc.identifier.volume	61	en
dc.identifier.issue	6	en
dc.identifier.spage	2636	en
dc.identifier.epage	2650	en