Adaptive single-cell OFDMA resource allocation for heterogeneous data traffic

Gotsis, AG; Constantinou, P

dc.contributor.author	Gotsis, AG	en
dc.contributor.author	Constantinou, P	en
dc.date.accessioned	2014-03-01T02:45:05Z
dc.date.available	2014-03-01T02:45:05Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32143
dc.subject	Combinatorial Optimization Problem	en
dc.subject	Evolutionary Optimization	en
dc.subject	Heterogeneous Data	en
dc.subject	Large Scale	en
dc.subject	Multi Objective Optimization	en
dc.subject	Optimality Theory	en
dc.subject	Radio Resource Allocation	en
dc.subject	Resource Allocation	en
dc.subject	Single Cell	en
dc.subject	Wireless Network	en
dc.subject	Best Effort	en
dc.subject	Multi User	en
dc.subject	Next Generation	en
dc.subject	Non Real Time	en
dc.subject	Variable Bit Rate	en
dc.subject.other	Combinatorial mathematics	en
dc.subject.other	Combinatorial optimization	en
dc.subject.other	Frequency allocation	en
dc.subject.other	Frequency division multiple access	en
dc.subject.other	Mobile computing	en
dc.subject.other	Optimization	en
dc.subject.other	Planning	en
dc.subject.other	Problem solving	en
dc.subject.other	Resource allocation	en
dc.subject.other	Site selection	en
dc.subject.other	Adaptive radio resources	en
dc.subject.other	Allocation problems	en
dc.subject.other	Bit rates	en
dc.subject.other	Cell networks	en
dc.subject.other	Classical optimizations	en
dc.subject.other	Data traffics	en
dc.subject.other	Down links	en
dc.subject.other	Evolutionary optimizations	en
dc.subject.other	Heterogeneous datums	en
dc.subject.other	Inherent frequencies	en
dc.subject.other	Large-scale combinatorial optimizations	en
dc.subject.other	Mixed traffics	en
dc.subject.other	Resource allocation algorithms	en
dc.subject.other	Simulation results	en
dc.subject.other	Wireless mediums	en
dc.subject.other	Wireless networks	en
dc.title	Adaptive single-cell OFDMA resource allocation for heterogeneous data traffic	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/WiMob.2008.25	en
heal.identifier.secondary	http://dx.doi.org/10.1109/WiMob.2008.25	en
heal.identifier.secondary	4654218	en
heal.publicationDate	2008	en
heal.abstract	Adaptive Radio Resource Allocation mechanisms exploiting the inherent frequency selectivity of the wireless medium as well as the multi-user effect are expected to play a key role in emerging next generation OFDMA-based wireless networks. Although a plethora of studies concerning either constant/guaranteed bit rate (CBR/GBR) or variable bit rate/best effort (VBR/BE) traffic has been published to date, limited amount of work has been devoted to the mixed OFDMA-centric GBR-BE data traffic problem. In this paper we attempt to deal with the specific heterogeneous allocation problem, which mathematically is formulated as a large-scale combinatorial optimization problem, in the context of the downlink of a SISO-OFDMA single-cell network. The contribution of our work is twofold: first, the fundamental trade-off of power and subcarriers utilization regarding the GBR-class users is thoroughly examined through a multi-objective evolutionary optimization framework. Secondly, an approximated yet effective resource allocation algorithm is devised that solves the mixed traffic problem utilizing zeroth-order methods from classical optimization theory. The presented concepts are accompanied by several simulation results. © 2008 IEEE.	en
heal.journalName	Proceedings - 4th IEEE International Conference on Wireless and Mobile Computing, Networking and Communication, WiMob 2008	en
dc.identifier.doi	10.1109/WiMob.2008.25	en
dc.identifier.spage	96	en
dc.identifier.epage	103	en