DocumentCode
1873225
Title
DRR adaptive quantum scheduling algorithm for WiMAX multihop relay networks
Author
Santos, Einar C. ; Guardieiro, Paulo R.
Author_Institution
Fed. Univ. of Goias, Catalao, Brazil
fYear
2015
fDate
14-17 June 2015
Firstpage
1
Lastpage
7
Abstract
IEEE 802.16j networks provide considerable improvements related to previous WiMAX specifications in terms of increased coverage area, deployment cost reduction and overall system throughput increase using Relay Stations (RSs). Its main purpose is to meet demands for wireless broadband access in remote areas or require large signal coverage at reduced cost. Efficient resource allocation is a challenge to be faced in IEEE 802.16 standard and requires total commitment of several mechanisms, including the scheduling algorithm. A good part of proposed scheduling rules developed for IEEE 802.16j networks disregards an optimal use of basic resources available. In this work we propose the application of a Deficit Round Robin (DRR) scheduling algorithm with adaptive quantum, operating jointly with a queue management scheme and congestion control in RS output buffer. The simulation results demonstrate a good performance for Unsolicited Grant Service (UGS) and Real-Time Polling Service (rtPS) traffic classes compared to a conventional DRR scheduling algorithm without queue management.
Keywords
WiMax; queueing theory; relay networks (telecommunication); telecommunication congestion control; telecommunication scheduling; DRR adaptive quantum scheduling algorithm; IEEE 802.16j networks; WiMax multihop relay networks; congestion control; deficit round robin scheduling algorithm; queue management; real-time polling service; unsolicited grant service; Adaptive systems; Delays; IEEE 802.16 Standard; Proposals; Scheduling; Scheduling algorithms; Transform coding; Adaptive quantum; DRR; WiMAX; scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications (IWT), 2015 International Workshop on
Conference_Location
Santa Rita do Sapucai
Type
conf
DOI
10.1109/IWT.2015.7224572
Filename
7224572
Link To Document