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Evaluation of traffic prediction based access control using different video traffic models in 3G CDMA high speed data networks

Resource type
Thesis type
(Project) M.Eng.
Date created
2006
Authors/Contributors
Abstract
The evolution of 3G Code Division Multiple Access (CDMA) network towards higher data rates is through the introduction of High Speed Downlink Packet Access (HSDPA) enhancement to the existing 31d Generation Partnership Project (3GPP) standards. In this paper, an access control protocol is proposed for an integrated voice, video and non real-time data traffic on the forward link (cell-site to mobile). The protocol involves predicting the residual capacity available for the HSDPA traffic. This paper evaluated the performance of three video traffic models in predicting the number of data packets that could be scheduled at the next time slot. All three video traffic models exploit the frame properties of Motion Picture Experts Group (MPEG) traffic. The traffic models are based on Markovian, Autorcgressive (AR) and two-sided Markov Renewal Model (TSMR) processes. Simulation results are obtained using Network Simulator 2 (ns2) with the Enhanced UMTS Radio Access Network Extensions (EURANE) using real video traces. The performance of the proposed estimation schemes are compared with estimation scheme using static guard margin. Findings of this paper can be used to improve the downlink performance of non-real time data traffic in the presence of MPEG video traffic in 3G CDMA networks.
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Language
English
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