A novel channel-based model for the problem of routing, space, and spectrum assignment

Abstract Space-division multiplexing (SDM) is regarded as one of the most promising technologies to satisfy the explosively growing internet traffic. Elastic optical networks with SDM is one of the newest network architectures for network planning in the future. However, the resource allocation problem in these networks becomes more complicated due to the expansion of spatial dimensions. In this paper, we propose a novel channel-based integer linear programming (ILP) model for the problem of routing, space, and spectrum assignment (RSSA) in consideration of space lane change in SDM-EON. To evaluate our model, we make a comparison with the slot-based model [15] via simulation experiments. Different spatial switching granularities are considered in our performance evaluation because they will greatly change the detailed results of allocation. By the numerical results, we find that our novel model has an overwhelming advantage over the previous slot-based one in computing time for the optimization process.