CLC number: TN92
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2009-07-30
Cited: 2
Clicked: 6383
Cheng KUAN, Kaharudin DIMYATI. Finite time-horizon Markov model for IEEE 802.11e[J]. Journal of Zhejiang University Science A, 2009, 10(10): 1383-1388.
@article{title="Finite time-horizon Markov model for IEEE 802.11e",
author="Cheng KUAN, Kaharudin DIMYATI",
journal="Journal of Zhejiang University Science A",
volume="10",
number="10",
pages="1383-1388",
year="2009",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0920170"
}
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%T Finite time-horizon Markov model for IEEE 802.11e
%A Cheng KUAN
%A Kaharudin DIMYATI
%J Journal of Zhejiang University SCIENCE A
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%P 1383-1388
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%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0920170
TY - JOUR
T1 - Finite time-horizon Markov model for IEEE 802.11e
A1 - Cheng KUAN
A1 - Kaharudin DIMYATI
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 10
SP - 1383
EP - 1388
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0920170
Abstract: We model wireless local area network channel utilization over a finite interval through a finite time-horizon markov (FTHM) model. By accurately capturing time-varying utilization, the FTHM model allows for generally distributed transmission-opportunity (TXOP) duration, which most existing models do not account for. An absorbing state is introduced to limit the lifetime of the counting process, resulting in a non-ergodic markov chain that is solved via transient analysis. The model predictions for time-varying utilization are validated by simulation with errors of no more than 0.1% after eight beacon intervals. Moreover, we show that the FTHM model prediction error is below 4% for Poisson distributed and uniformly distributed TXOP durations.
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