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 dis...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 transmis-sion-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 predic-tions 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.展开更多
文摘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 transmis-sion-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 predic-tions 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.
