Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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An Efficient Scheduling Scheme based on Fuzzy Prediction for IEEE 802.11e WLAN

IEEE 802.11e WLAN을 위한 효율적인 퍼지 예측 기반 스케줄링 방법

  • Heo, Jong-Man (School of Electrical Engineering and Computer Science Seoul National University) ;
  • Lee, Kam-Rok (School of Electrical Engineering and Computer Science Seoul National University) ;
  • Kim, Nam-Hun (School of Electrical Engineering and Computer Science Seoul National University) ;
  • Kwon, Wook-Hyun (School of Electrical Engineering and Computer Science Seoul National University)
  • 허종만 (서울대학교 공과대학 전기컴퓨터공학부) ;
  • 이감록 (서울대학교 공과대학 전기컴퓨터공학부) ;
  • 김남훈 (서울대학교 공과대학 전기컴퓨터공학부) ;
  • 권욱현 (서울대학교 공과대학 전기컴퓨터공학부)
  • Published : 2006.06.21
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Abstract

The IEEE 802.11e medium access control (MAC) is an emerging standard to support Quality of Service (QoS). A HCCA (HCF controlled channel access) scheduler of the standard IEEE 802.11e is only efficient for flows with strict constant bit rate (CBR) characteristics. In this paper, we propose a new HCCA scheduling scheme that aims to be efficient for both CBR and VBR flows. The proposed scheme uses fuzzy queue length predictions to tune its time allocation to stations. We present a set of simulations and provide performance comparisons with the reference HCCA scheduler.

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