Performance analysis the adaptive EXP/PF channel scheduler in an AMC/TDM system

Jong Hun Rhee, Jack M. Holtzman, Dong Ku Kim

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)


The adaptive EXP/PF AU; PL. DEFINE "EXP" ALSO channel scheduler proposed in [1] is an enhancement to the proportional fairness (PF) channel scheduler in that it guarantees delay sensitive services having the desired service delay outage probability as well as best-effort services in the forward link of an adaptive modulation and coding when used with time-division multiplexing (AMC/TDM) system. In this letter, assuming that there are many best-effort service users and one streaming service user requiring maximum delay constraints of 3 s, the system throughput of the adaptive EXP/PF scheduler is evaluated for different channel conditions of the streaming service user and is also compared with PF scheduler and its upper bound of throughput. The results show that the adaptive EXP/PF algorithm offers high system throughput as well as fairness among best-effort service users and guarantees streaming services of a desired delay constraint and outage probability.

Original languageEnglish
Pages (from-to)497-499
Number of pages3
JournalIEEE Communications Letters
Issue number8
Publication statusPublished - 2004 Aug

Bibliographical note

Funding Information:
Manuscript received December 6, 2003. The associate editor coordinating the review of this letter and approving it for publication was Prof. P. Demestichas. This work was supported by Qualcomm Inc., through Qualcomm Yonsei CDMA Research Laboratory. J.-H. Rhee was with Yonsei University, Seoul, Korea. He is now with Sam-sung Electronics Company, Ltd., East-Suwon 105, Kyungkido, Korea. J. M. Holtzman is with Qualcomm Inc., San Diego, CA 92121-1714 USA (e-mail: D. K. Kim is with Yonsei University, Shinchondong 134, Seoul, Korea (e-mail: Digital Object Identifier 10.1109/LCOMM.2004.833786

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


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