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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/21898
Title: Adaptive Bandwidth Reservation and Scheduling for Efficient Telemedicine Traffic Transmission Over Wireless Cellular Networks
Authors: Qiao, Lu
Advisor: Koutsakis, Polychronis
Department: Electrical and Computer Engineering
Keywords: adaptive bandwidth reservation, scheduling, telemedicine, traffic transmission, wireless cellular networks, multimedia
Publication Date: Aug-2008
Abstract: <p> Telemedicine traffic transmission over wireless cellular networks has gained in importance during the last few years. Most of the current research in the field has focused on software and hardware implementations for telemedicine transmission, without discussing the case of simultaneous transmission of both urgent telemedicine traffic and regular multimedia traffic over the network.</p> <p> Due to the fact that telemedicine traffic carries critical information regarding the patients' condition, it is vitally important that this traffic has highest transmission priority in comparison to all other types of traffic in the cellular network. However, the need for expedited and correct transmission of telemedicine traffic calls for a guaranteed bandwidth to telemedicine users. This creates a tradeoff between the satisfaction of the very strict Quality of Service (QoS) requirements of telemedicine traffic and the loss of the guaranteed bandwidth in the numerous cases when it is left unused, due to the infrequent nature of telemedicine traffic. This waste of the bandwidth may lead to a lack of sufficient bandwidth for regular traffic, hence degrading its QoS.</p> <p> To resolve this complex problem, in this thesis, we propose a) an adaptive bandwidth reservation scheme based on road map information and on users' mobility, and b) a fair scheduling scheme for video traffic transmission over wireless cellular networks. The proposed combination of the two schemes, which is evaluated over a hexagonal cellular structure, is shown to achieve high channel bandwidth utilization while offering full priority to telemedicine traffic.</p>
URI: http://hdl.handle.net/11375/21898
Appears in Collections:Digitized Open Access Dissertations and Theses

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