Scheduling of QoS guaranteed services in DS-CDMA uplink networks: modified weighted g-fair algorithm

Young Min Ki, Eun Sun Kirn, Dong Ku Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this paper, the modified weighted g-fair (MWGF) scheduling scheme with rise over thermal (RoT) filling is proposed for QoS guaranteed services in DS-CDMA uplink networks, in which RoT is directly related to the loading factor of a wireless network. The proposed scheme computes priorities of QoS guaranteed traffic for each slot based upon the weighted values of the QoS factor, channel factor, and fairness factor. Once priorities are assigned, power and rate used for each user are computed within a limited RoT by using RoT filling, which adjusts the transmit rate of the traffic assigned least priority. The proposed algorithm increases more throughput by 6 to 10 % compared to that of the current autonomous rate control (ARC) scheme. It also lowers transmission delays and ensures more fairness in delay outages than the round robin scheduler and ARC scheme.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsIgnas Niemegeers, Sonia Heemstra de Groot
PublisherSpringer Verlag
Pages272-285
Number of pages14
ISBN (Print)3540231625, 9783540231622
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3260
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Ki, Y. M., Kirn, E. S., & Kim, D. K. (2004). Scheduling of QoS guaranteed services in DS-CDMA uplink networks: modified weighted g-fair algorithm. In I. Niemegeers, & S. H. de Groot (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 272-285). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3260). Springer Verlag. https://doi.org/10.1007/978-3-540-30199-8_23