Optimization/simulation-based risk mitigation in resilient green communication networks

Abstract

This paper proposes a solution to the trade-off between energy-efficiency and resilience in communication networks, where the energy profiles express the decreasing return to scale effect. Risk engineering is used as a basis to provide the risk mitigation framework defining various trade-off strategies (risk minimization, total benefit coverage, cost balance, and profit maximization). As obtaining the exact solution to the assumed trade-off strategy with an analytical or purely optimization approach is impossible in practice, an original method combining iterative optimization procedures with simulations providing updated values to feed the optimization model is proposed to find a satisfactory risk mitigation option. A numerical example is presented to show the performance of the proposed method.