CLEAR: A Non-Linear Impairment-Aware Resource Allocation Algorithm for MultiBand Elastic Optical Networks

Optical networks, characterized by high speed, substantial capacity, and dependable communication, constitute the foundation of 6G Internet of Things (IoT) networks. 6G IoT devices and next-generation applications are expected to generate vast amounts of data that require substantial processing capacity as well as data transport resources, which optical networks are uniquely able to satisfy.However, the existing fiber infrastructure may be unable to accommodate the future bandwidth demands due to 6G networks. MultiBand Elastic Optical Networks (MB-EONs) are one of the possible solutions to solve the capacity crunch problem due to the intensive increase in Internet traffic demand. MB-EONs utilize the unused spectrum of the already deployed optical fiber by extending the bands used from conventional C-band to other optical bands such as L band. However, the increase in capacity comes at the cost of degradation of the quality of transmission of the signal due to the Interband Stimulated Raman Scattering effect. In this paper, we propose Comprehensive Link Evaluation and Allocation for Routing (CLEAR), a Routing, Modulation, Band, and Spectrum allocation algorithm that considers different types of weights of links, i.e., capacity, length, ratio of capacity to length, weighted sum of the normalized link length and capacity, and different fragmentation metrics to find the route that has the most availability of resources among different paths. The results show that reduced blocking performance is observed along with better computational speed when we use the average scoring mechanism and capacity as link weight.