Enhancing quality of experience in next generation networks through network selection mechanisms

Markaki, O; Charilas, D; Nikitopoulos, D

dc.contributor.author	Markaki, O	en
dc.contributor.author	Charilas, D	en
dc.contributor.author	Nikitopoulos, D	en
dc.date.accessioned	2014-03-01T02:44:36Z
dc.date.available	2014-03-01T02:44:36Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31898
dc.subject	Analytic Hierarchy Process	en
dc.subject	Evaluation Criteria	en
dc.subject	Grey Relational Analysis	en
dc.subject	Heterogeneous Network	en
dc.subject	Network Performance	en
dc.subject	Next Generation Network	en
dc.subject	Packet Switched	en
dc.subject	Quality of Experience	en
dc.subject.other	Hierarchical systems	en
dc.subject.other	Network architecture	en
dc.subject.other	Packet networks	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Telecommunication services	en
dc.subject.other	Analytical Hierarchy Process (AHP)	en
dc.subject.other	Grey Relational Analysis (GRA)	en
dc.subject.other	Heterogeneous networks	en
dc.subject.other	Quality of Experience (QoE)	en
dc.subject.other	Quality of service	en
dc.title	Enhancing quality of experience in next generation networks through network selection mechanisms	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/PIMRC.2007.4394198	en
heal.identifier.secondary	4394198	en
heal.identifier.secondary	http://dx.doi.org/10.1109/PIMRC.2007.4394198	en
heal.publicationDate	2007	en
heal.abstract	The evolution of telecommunications during the last decades has been enormous and as a result, nowadays, people find themselves before the challenge of 4G networks. Consequently, network selection techniques play a vital role in ensuring Quality of Experience (QoE) in heterogeneous networks. The main scope of this paper is the development of a process in order to compare packet-switched networks in terms of QoE offered and finally select the network that offers the highest standard of QoE. For this reason, main QoS parameters are identified and a scheme is proposed to identify each parameter's importance based on network performance. The proposed methodology combines the Analytical Hierarchy Process (AHP) to decide the relative weights of evaluative criteria set according to the network's performance, as well as the Grey Relational Analysis (GRA) to rank the network alternatives. The proposed methodology is then applied for GPRS and WLAN. © 2007 IEEE.	en
heal.journalName	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC	en
dc.identifier.doi	10.1109/PIMRC.2007.4394198	en