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EURASIP Journal on Wireless Communications and Networking
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  • Research Article
  • Open Access

Adaptive Rate-Scheduling with Reactive Delay Control for Next Generation CDMA Wireless Mobile Systems

EURASIP Journal on Wireless Communications and Networking20062006:043759

https://doi.org/10.1155/WCN/2006/43759

©  Oliver Yu et al. 2006

  • Received: 1 October 2005
  • Accepted: 26 May 2006
  • Published:

Abstract

To minimize QoS degradations during nonstationary packet loadings, predictive rate schedulers adapt the operation according to anticipated packet arrival rates deduced via specified estimation algorithm. Existing predictive rate schedulers are developed under the assumption of perfect estimation, which may not be possible in future CDMA-based cellular networks characterized with highly nonstationary and bursty traffic. Additional shortcoming of existing rate schedulers is the coupling of delay and bandwidth, that is, close interdependence of delay and bandwidth (rate), whereby controlling one is accomplished solely by changing the other. In order to mitigate for the arrival rate estimation errors and delay-bandwidth coupling, this paper presents the feedback-enhanced target-tracking weighted fair queuing (FT-WFQ) rate scheduler. It is an adaptive rate scheduler over multiclass CDMA systems with predictive adaptation control to adapt to nonstationary loadings; and feedback-enhanced reactive adaptation control to counteract arrival rate estimation errors. When the predictive adaptation control is not able to maintain long-term delay targets, feedback information will trigger reactive adaptation control. The objective of FT-WFQ scheduler is to minimize deviations from delay targets subject to maximum throughput utilization. Analytical and simulation results indicate that FT-WFQ is able to substantially reduce degradations caused by arrival rate estimation errors and to minimize delay degradations during nonstationary loading conditions.

Keywords

  • Packet Arrival
  • Adaptation Control
  • CDMA System
  • Packet Arrival Rate
  • Adaptive Rate

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Authors’ Affiliations

(1)
Department of ECE, University of Illinois at Chicago, 851 S. Morgan Street, 1020 SEO, Chicago, IL 60607, USA

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Copyright

© Oliver Yu et al. 2006

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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