Network-based access selection in composite radio environments

Koundourakis, G; Axiotis, DI; Theologou, M

dc.contributor.author	Koundourakis, G	en
dc.contributor.author	Axiotis, DI	en
dc.contributor.author	Theologou, M	en
dc.date.accessioned	2014-03-01T02:44:51Z
dc.date.available	2014-03-01T02:44:51Z
dc.date.issued	2007	en
dc.identifier.issn	15253511	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31978
dc.subject	Heterogeneous Environment	en
dc.subject	Optimal Solution	en
dc.subject	qos provisioning	en
dc.subject	Resource Utilization	en
dc.subject	System Performance	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer simulation	en
dc.subject.other	Optimization	en
dc.subject.other	Quality of service	en
dc.subject.other	Resource allocation	en
dc.subject.other	Access and interface selection (AIS)	en
dc.subject.other	Multihoming concept	en
dc.subject.other	Network-based access	en
dc.subject.other	Resource management	en
dc.subject.other	Radio systems	en
dc.title	Network-based access selection in composite radio environments	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/WCNC.2007.709	en
heal.identifier.secondary	http://dx.doi.org/10.1109/WCNC.2007.709	en
heal.identifier.secondary	4204885	en
heal.publicationDate	2007	en
heal.abstract	In this paper, we introduce a network-based approach for access and interface selection (AIS) in the context of resource management in heterogeneous wireless environments (UMTS, WLAN and DYB-T). We focus on the optimization of the resource utilization, while ensuring acceptable QoS provision to the end users. Our objective is to optimally manage the overall system resources and minimize the possibility of QoS handovers (non-mobility handovers). The adopted architecture applies to typical heterogeneous environments and network entities (Access Routers) are enhanced with extra functionalities. We propose an AIS algorithm that exploits the multihoming concept and globally manages network resources at both radio access and IP backbone networks. The algorithm can estimate near optimal solutions in real time and we also introduce a novel triggering policy. We present simulation results that demonstrate the advantages of our approach. System performance metrics, derived from the simulations, show minimum degradations in high load and congestion situations. © 2007 IEEE.	en
heal.journalName	IEEE Wireless Communications and Networking Conference, WCNC	en
dc.identifier.doi	10.1109/WCNC.2007.709	en
dc.identifier.spage	3880	en
dc.identifier.epage	3886	en