A Low Computation Cost Algorithm to Solve Cellular Systems with Retrials Accurately
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- Doménech-Benlloch M.J., Giménez-Guzmán J.M., Martínez-Bauset J., Casares-Giner V. (2006) A Low Computation Cost Algorithm to Solve Cellular Systems with Retrials Accurately. In: Cesana M., Fratta L. (eds) Wireless Systems and Network Architectures in Next Generation Internet. EuroNGI 2005. Lecture Notes in Computer Science, vol 3883. Springer, Berlin, Heidelberg
This paper proposes an approximate methodology for solving Markov models that compete for limited resources and retry when access fails, like those arising in mobile cellular networks. We limit the number of levels that define the system by aggregating all levels beyond a given one in order to manage curse of dimensionality issue. The developed methodology allows to balance accuracy and computational cost. We determine the relative error of different typical performance parameters when using the approximate model as well as the computational savings. Results show that high accuracy and cost savings can be obtained by deploying the proposed methodology.
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