A novel analytical model for dynamic waveband switching

We present a novel framework to analytically model dynamic waveband switching in a multi-granular optical network. The scalable solution consists in modeling each potential carrier of waveband tunnels independently by a Markov chain while modulating the rate of critical transitions, i.e. reserving a new waveband tunnel, by the waveband setup availability computed from the solution of other potential carriers. An iterative procedure is repeated to obtain a consistent numerical solution all over the network. To get an accurate solution we present a novel method to solve the problem of link load correlation in the analysis of circuit-switched networks. Analytical and simulation results are presented to show the effectiveness of the proposed model. The model is also applied to evaluate the performance of waveband cross-connects when introducing waveband conversion.