Ori Gerstel and Patrick Iannone, Editors-in-Chief
Brownson O. Obele, Mohsin Iftikhar, Suparek Manipornsut, and Minho Kang
Brownson O. Obele,1 Mohsin Iftikhar,2 Suparek Manipornsut,3 and Minho Kang1
1B. O. Obele (e-mail: firstname.lastname@example.org) and M. H. Kang (e-mail: email@example.com) are with the School of Information and Communications Engineering of the Korea Advanced Institute of Science and Technology (KAIST), IT Convergence Campus, Daejeon 305-732, South Korea. B. O. Obele is now also serving an internship with the Network R&D Laboratory of Korea Telecom (KT).
2M. Iftikhar (e-mail: firstname.lastname@example.org) is with the National Information, Communication and Technology Association, Australia (NICTA), University of New South Wales, Locked Bag 6016, Sydney NSW 1466, Australia.
3S. Manitpornsut (e-mail: suparerḵman@utcc.ac.th) is with the Department of Computer Engineering of the University of the Thai Chamber of Commerce, Bangkok 10400, Thailand.
The access network has remained the bottleneck in efforts to deliver bandwidth-intensive new-generation applications and services to subscribers. In the wired access network, the gigabit Ethernet passive optical network (GEPON) is a promising technology for relieving this bottleneck, while its counterpart in the wireless access network is worldwide interoperability for microwave access (WiMAX). A converged quadruplet-service-enabled (video, voice, data, and mobility) network, which takes full advantage of the strengths and weaknesses of each of these promising technologies, has been proposed. Besides, research and Internet measurements have revealed that actual Ethernet and wireless data traffic are self-similar and long-range dependent. Therefore, we review the quality of service (QoS) architecture for integrating WiMAX and GEPON access networks that we proposed in previous work. Then, we present an analysis of the queuing behavior of the QoS architecture under self-similar and long-range-dependent data traffic conditions and derive closed-form expressions of the expected waiting time in queue (queuing delay) and the packet loss rate per QoS traffic class. This work brings novelty in terms of presenting performance analysis of the proposed QoS-aware integrated architecture under realistic load conditions and facilitates the provisioning of tightly bound QoS parameters to end users of the converged access network.
© 2009 Optical Society of America
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WiMAX–GEPON convergence architecture.
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Converged ONU-BS architecture.
(a) Inbound queuing delay versus Hurst parameter; (b) outbound queuing delay versus Hurst parameter
Numerical and simulation results for (a) inbound queuing delay and (b) outbound queuing delay.
(a) Inbound queue size versus Hurst parameter; (b) outbound queue size versus Hurst parameter.
(a) Inbound packet loss rate versus Hurst parameter; (b) outbound packet loss rate versus Hurst parameter.
(a) Inbound packet loss rate versus Hurst parameter (closer view of I-UGS and I-rtPS queues); (b) outbound packet loss rate versus Hurst parameter (closer view of O-UGS and O-rtPS queues).
Numerical and simulation results for (a) inbound packet loss rate, (b) outbound packet loss rate.
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