Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.605149
Title: QoS-aware resource management for fixed-mobile converged networks
Author: Bontozoglou, Andreas
Awarding Body: University of Essex
Current Institution: University of Essex
Date of Award: 2013
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Abstract:
This thesis proposes a new overlay approach to converge fixed-aggregation and mobile-access networks in terms of resource management and Quality of Service (QoS). Convergence, in the context of this work, refers to end-to-end status information exchange between fixed and mobile networks resulting in enhanced resource management and better QoS. The main motive for such an approach was driven from the fast evolution of both wireless and fixed networks, showing the need of a technology independent, scalable and extensible system. Recent literature in this area, on one hand reveals the benefits of converging aggregation and access networks but on the other hand highlights the lack of such an overlay mechanism. At first, a protocol was designed in order to perform the signaling between networks carrying bandwidth request/allocation, queue and service status information. This information is used from the Dynamic Bandwidth Allocation (DBA) and Call Admission Control (CAC) functions in the aggregation and access network respectively. A fairness-based DBA algorithm that is solely based on the signaling information, was designed for use in the aggregation network. Additionally, two CAC schemes were designed to operate in the Base Stations (ESs) of the mobile networks, each one taking into consideration different portions of the available information. For the validation of the proposed system, Ethernet Passive Optical Network (EPON) and Worldwide Interoperability for Microwave Access (WiMAX) networks were employed in OMNet++ simulation environment. Simulations performed using different mobility and traffic parameters, showed that the proposed overlay approach is viable and always beneficiary in terms of network performance. Furthermore, it was shown that the CAC function performs better when more information about the aggregation network is made available to it. The fully converged method achieved to limit the packet drop rate to 10% under constant and heavy network load and even less for periodically congesting networks. In both cases, the overall network throughput was not affected. However, the previous approach was not able to guarantee end-ta-end packet delay. For this reason a scaling parameter was introduced that efficiently controls the major trade-off in converged environments between QoS and network throughput. This proved to be able to bound the packet delay at the expense of less throughput
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.605149  DOI: Not available
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