Price bargaining integration with dynamic call admission control in wireless multiservice networks

Stratogiannis, DG; Tsiropoulos, GI; Kanellopoulos, JD; Cottis, PG

dc.contributor.author	Stratogiannis, DG	en
dc.contributor.author	Tsiropoulos, GI	en
dc.contributor.author	Kanellopoulos, JD	en
dc.contributor.author	Cottis, PG	en
dc.date.accessioned	2014-03-01T02:46:24Z
dc.date.available	2014-03-01T02:46:24Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32659
dc.subject	Call admission control (CAC)	en
dc.subject	Game theory	en
dc.subject	Price bargaining	en
dc.subject	Quality of service (QoS)	en
dc.subject	Resource allocation	en
dc.subject	Wireless networks	en
dc.subject.other	Bargaining game	en
dc.subject.other	Call admission control	en
dc.subject.other	Call admission control (CAC)	en
dc.subject.other	Call request	en
dc.subject.other	Dynamic operations	en
dc.subject.other	Integrated frameworks	en
dc.subject.other	Multiservice network	en
dc.subject.other	Multiservice wireless networks	en
dc.subject.other	Narrow bands	en
dc.subject.other	Nash Equilibrium	en
dc.subject.other	Network condition	en
dc.subject.other	Price bargaining	en
dc.subject.other	Pricing mechanism	en
dc.subject.other	Quality of service (QoS)	en
dc.subject.other	Revenue maximization	en
dc.subject.other	Wide-band	en
dc.subject.other	Ad hoc networks	en
dc.subject.other	Costs	en
dc.subject.other	Economics	en
dc.subject.other	Quality control	en
dc.subject.other	Quality of service	en
dc.subject.other	Resource allocation	en
dc.subject.other	Wireless telecommunication systems	en
dc.subject.other	Game theory	en
dc.title	Price bargaining integration with dynamic call admission control in wireless multiservice networks	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICUMT.2009.5345344	en
heal.identifier.secondary	5345344	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICUMT.2009.5345344	en
heal.publicationDate	2009	en
heal.abstract	In multiservice wireless networks, Call Admission Control (CAC) is essential to assure the Quality of Service requirements of the supported traffic. Call requests are usually classified into two different types: narrow-band and wide-band calls. In this paper, the probabilistic CAC scheme employed is extended through a game theoretic framework for resource allocation and price bargaining for the required resources providing efficient dynamic operation and capability enhancement. First, a competition game is used to obtain the resource allocation among service types based on their prices. The Nash equilibrium for this game provides the allocation that maximizes users utility. Second, based on obtained resource allocation, a price bargaining game is formulated to obtain the price values for revenue maximization. Third, the probabilistic CAC is optimized through the integrated pricing mechanism by providing the values of the admission probabilities according network conditions and users behavior towards prices. The performance results designate the considerable improvement achieved by the proposed integrated framework compared to traditional schemes. ©2009 IEEE.	en
heal.journalName	2009 International Conference on Ultra Modern Telecommunications and Workshops	en
dc.identifier.doi	10.1109/ICUMT.2009.5345344	en