Analytical survivability model for fault tolerant cellular networks supporting multiple services

Survivability analysis measure the degree of functionality remaining in a system after failures. It consists of evaluating metrics which quantify the system performance during failure scenarios as well as in normal operation. Existing research work in this area discusses fault tolerant architecture of cellular networks and analyze impact of failures on the network performance through simulation models. In order to quantitatively assess the effect of failures on cellular networks, we develop analytical model to determine performance oriented survivability metrics in terms of call blocking probabilities. Assuming Markovian property for the networks, these measures are obtained on solving the proposed Markov model. Numerical results are provided for illustration of the proposed model and determination of survivability attributes as mentioned in definition of network survivability performance group.