In this paper, we study the dynamic wavelength assignment problem in waveband-switched (WBS) networks composed of wavelength-convertible multi-granular OXCs (MGOXCs). With the aim to minimize the extra port consumption and utilize wavelength converters in an efficient manner, we propose a heuristic wavelength assignment algorithm named Least Weighted Configuration Cost (LWCC). WAPG, an algorithm proposed in previous literature, is compared with LWCC in both blocking performance and converter utilization. Numerical results show that LWCC offers more benefit in waveband grouping, which results in significant improvement in terms of blocking probability.

In the paper, we study the wavelength assignment problem in waveband switching (WBS) networks, which is composed of multi-granular optical cross-connect (MG-OXCs) interconnected by fiber links. WBS networks with MG-OXCs can route traffic at multiple granularities at the same time; therefore, the complexity of switching fabrics can be efficiently reduced. Moreover, in order to relax the wavelength continuity constraint on lightpath establishments, each MG-OXC node is equipped with certain number of wavelength converters. Focusing on minimizing the extra port consumption and utilizing wavelength converters in an efficient manner, we propose a heuristic algorithm, named Least-Configuration with Bounded Conversion (LCBC), under the dynamic traffic environment. Simulation results show that our algorithm can achieve a considerable port saving and significant performance gain by a well-design cost function.