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dc.contributor.authorZheng, Li
dc.contributor.authorHoang, Doan B.
dc.contributor.authorLi, Ming
dc.date.accessioned2016-11-14T12:53:53Z
dc.date.available2016-11-14T12:53:53Z
dc.date.issued2012-07
dc.identifier.citationWireless Engineering and Technology , 2012, 3, 113-124en_US
dc.identifier.urihttp://dx.doi.org/10.4236/wet.2012.33018
dc.identifier.urihttp://hdl.handle.net/123456789/1233
dc.description.abstractMore subtle and explicit QoS control mechanisms are required at the radio access level, even though the simple and scalable Differentiated Services (DiffServ) QoS control model is acceptable for the core of the network. At the radio access level, available resources are severely limited and the degree of traffic aggregation is not significant, thus rendering the DiffServ principles less effective. In this paper we present a suitable hybrid QoS architecture framework to address the problem. At the wireless access end, the local QoS mechanism is designed in the context of IEEE 802.11 WLAN with 802.11e QoS extensions; so streams of those session-based applications are admitted, established according to the traffic profile they require, and guaranteed. As the core in the Admission Control of the hybrid QoS architecture, the Fair Intelligent Congestion Control (FICC) algorithm is applied to provide fairness among traffic aggregates and control congestion at the bottleneck interface between the wireless link and the network core via mechanisms of packet scheduling, buffer management, feedback and adjustments. It manages effectively the overloading scenario by preventing traffic violation from uncontrolled traffic, and providing guarantee to the priority traffic in terms of guaranteed bandwidth allocation and specified delay.en_US
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subjectHybrid QoS for Wireless Networken_US
dc.subjectTraffic Stream Admission Controlen_US
dc.subjectTraffic Specificationsen_US
dc.subjectFair Intelligent Congestion Controlen_US
dc.titleWireless Hybrid QoS Architecture with an Enhancement of Fair Intelligent Congestion Controlen_US
dc.typeArticleen_US


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