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Aggregated Renewal Markov Processes With Applications in Simulating Mobile Broadcast Systems

Jussi Poikonen, Jarkko Paavola, Valery Ipatov, Aggregated Renewal Markov Processes With Applications in Simulating Mobile Broadcast Systems. IEEE Transactions on Vehicular Technology 58(1), 21–31, 2009.

Abstract:

For purposes of simulating contemporary communication
systems, it is, in many cases, useful to apply error models
for specific levels of abstraction. Such models should approximate
the packet error behavior of a given system at a specific protocol
layer, thus incorporating the possible detrimental effects of lower
protocol layers. Packet error models can efficiently be realized
using finite-state models; for example, there exists a wide range
of studies on using Markov models to simulate communication
channels. In this paper, we consider aggregated Markov processes,
which are a subclass of hiddenMarkov models (HMMs). Artificial
limitations are set on the state transition probabilities of the models
to find efficient methods of parameter estimation. We apply
these models to the simulation of the performance of Digital Video
Broadcasting-Handheld (DVB-H). The parameters of the packet
error models are approximated as functions of the time-variant
received signal strength and speed of a mobile vehicular DVB-H
receiver, and it is shown that useful results may be achieved with
the described packet error models, particularly when simulating
mobile reception in field conditions.

BibTeX entry:

@ARTICLE{jPoPaIp09a,
  title = {Aggregated Renewal Markov Processes With Applications in Simulating Mobile Broadcast Systems},
  author = {Poikonen, Jussi and Paavola, Jarkko and Ipatov, Valery},
  journal = { IEEE Transactions on Vehicular Technology},
  volume = {58},
  number = {1},
  pages = {21–31},
  year = {2009},
  keywords = {Broadcasting, communication channels, Markov processes, mobile communication, simulation},
}

Belongs to TUCS Research Unit(s): Microelectronics

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