Channel-and delay-aware scheduling algorithms for wimax

IEEE 802.16 introduces scheduling algorithm to manage and allocate network resource in order to achieve Quality of Service (QoS) of different services. Scheduling algorithms can be categorized into two main types: channel-unaware and channel-aware. Channel-unaware schedulers assume the wireless chan...

Full description

Saved in:
Bibliographic Details
Main Author: You, Sin Yong
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/77466/1/FK%202013%209%20ir.pdf
http://psasir.upm.edu.my/id/eprint/77466/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.77466
record_format eprints
spelling my.upm.eprints.774662022-01-27T07:10:29Z http://psasir.upm.edu.my/id/eprint/77466/ Channel-and delay-aware scheduling algorithms for wimax You, Sin Yong IEEE 802.16 introduces scheduling algorithm to manage and allocate network resource in order to achieve Quality of Service (QoS) of different services. Scheduling algorithms can be categorized into two main types: channel-unaware and channel-aware. Channel-unaware schedulers assume the wireless channel condition is always perfect and error-free. This assumption is impractical due to the nature of the wireless medium. Meanwhile channel-aware schedulers exploit the variation of the wireless channel by taking the wireless link quality into scheduler's decision making mechanism. Thus it can handle the variation of wireless medium in the better manner to achieve optimum network performance. In this thesis, the proposed channel-aware Weighted Fair Queuing (CWFQ) and Queue Duration Awareness (QDA) algorithm have been developed and investigated. CWFQ improves the goodput performance of WFQ through exploitation of wireless medium to achieve better spectral efficiency. Packet with better link quality is given higher service priority. Meanwhile QDA algorithm improves the delay performance of the CWFQ scheduling algorithm by giving higher service priority to packet that has longer queue duration. This helps to reduce packet waiting time for service. Extensive simulations have been done using QualNet simulator to investigate the performance of CWFQ and QDA algorithms. The results show that CWFQ has achieved better goodput and packet delivery ratio (PDR) for real time polling service (rtPS) flow compare to WFQ, with improvement of 19.4% and 21.5% in static scenario, 12.4% and 13.5% in mobile scenario. This shows that CWFQ is able to exploit wireless channel and improve spectral utilization. For QDA algorithm, the results show that CWFQ+QDA has outperformed the existing Garroppo- WFQ (GWFQ) by 36.3% and 79.4% in static and mobile scenario. This is because QDA algorithm awards higher priority to packet that has long queued to avoid starvation of service. This shows that QDA is able to improve CWFQ's delay performance. 2013-02 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/77466/1/FK%202013%209%20ir.pdf You, Sin Yong (2013) Channel-and delay-aware scheduling algorithms for wimax. Masters thesis, Universiti Putra Malaysia. Scheduling Network performance
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
topic Scheduling
Network performance
spellingShingle Scheduling
Network performance
You, Sin Yong
Channel-and delay-aware scheduling algorithms for wimax
description IEEE 802.16 introduces scheduling algorithm to manage and allocate network resource in order to achieve Quality of Service (QoS) of different services. Scheduling algorithms can be categorized into two main types: channel-unaware and channel-aware. Channel-unaware schedulers assume the wireless channel condition is always perfect and error-free. This assumption is impractical due to the nature of the wireless medium. Meanwhile channel-aware schedulers exploit the variation of the wireless channel by taking the wireless link quality into scheduler's decision making mechanism. Thus it can handle the variation of wireless medium in the better manner to achieve optimum network performance. In this thesis, the proposed channel-aware Weighted Fair Queuing (CWFQ) and Queue Duration Awareness (QDA) algorithm have been developed and investigated. CWFQ improves the goodput performance of WFQ through exploitation of wireless medium to achieve better spectral efficiency. Packet with better link quality is given higher service priority. Meanwhile QDA algorithm improves the delay performance of the CWFQ scheduling algorithm by giving higher service priority to packet that has longer queue duration. This helps to reduce packet waiting time for service. Extensive simulations have been done using QualNet simulator to investigate the performance of CWFQ and QDA algorithms. The results show that CWFQ has achieved better goodput and packet delivery ratio (PDR) for real time polling service (rtPS) flow compare to WFQ, with improvement of 19.4% and 21.5% in static scenario, 12.4% and 13.5% in mobile scenario. This shows that CWFQ is able to exploit wireless channel and improve spectral utilization. For QDA algorithm, the results show that CWFQ+QDA has outperformed the existing Garroppo- WFQ (GWFQ) by 36.3% and 79.4% in static and mobile scenario. This is because QDA algorithm awards higher priority to packet that has long queued to avoid starvation of service. This shows that QDA is able to improve CWFQ's delay performance.
format Thesis
author You, Sin Yong
author_facet You, Sin Yong
author_sort You, Sin Yong
title Channel-and delay-aware scheduling algorithms for wimax
title_short Channel-and delay-aware scheduling algorithms for wimax
title_full Channel-and delay-aware scheduling algorithms for wimax
title_fullStr Channel-and delay-aware scheduling algorithms for wimax
title_full_unstemmed Channel-and delay-aware scheduling algorithms for wimax
title_sort channel-and delay-aware scheduling algorithms for wimax
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/77466/1/FK%202013%209%20ir.pdf
http://psasir.upm.edu.my/id/eprint/77466/
_version_ 1724075574708666368
score 13.160551