WDM/OCDM Energy-Efficient Networks Based on Heuristic Ant Colony Optimization

The ant colony optimization for continuous domains (ACO R ) approach is deployed in order to solve two resource allocation (RA) optimization problems associated to the signalto-noise plus interference ratio metric with quality-of-service constraints in the context of hybrid wavelength-division multiplexing/ optical code-division multiplexing networks. The ACO R -based RA optimization strategy allows optimally regulating the transmitted optical powers, as well as maximizing the overall energy efficiency (sum EE) of the optical network. In this context, a suitable model for heuristic optimization approach is developed, with emphasis on the network performance under optimized ACO R input parameters. Extensive simulation results for both power allocation and EE optimization problems are discussed taking into account realistic networks operation scenarios. Computational complexity analysis is performed in order to obtain a suitable, yet sturdy, algorithm regarding the robustness versus complexity tradeoff. The performance and complexity of the proposed heuristic approach are compared with a disciplined convex optimization approach based on CvX tools.