Enhanced Tridental Resource Assignment Algorithm for Space Division Multiplexed Elastic Optical Networks

The Tridental Resource Assignment algorithm (TRA) has proven to optimally assign the resources in multicore fiber networks in the presence of intercore crosstalk (XT). It balances the trade-off between spectrum utilization and XT with the help of the tridental coefficient (TC). The TC is calculated for all the resource choices which makes it computationally expensive. In this paper, we show that we can achieve the acceptable performance of TRA while decreasing the computational overhead. We also show that by using tuned weights in TC, we can further improve the performance of TRA. We observe that acceptable performance of TRA can be achieved with 50% of the total computations and tuning minimizes the bandwidth blocking of already better performing TRA up to$\approx$2 orders of magnitude.