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We propose a two-stage algorithm for energy-efficient resource allocationconstrained to QoS and physical requirements in OFDM-based EONs. The firststage deals with routing, grooming and traffic ordering and aims at minimizingamplifier power consumption and number of active transponders. We provide aheuristic procedure which yields an acceptable solution for the complex ILPformulation of the routing and grooming. In the second stage, we optimizetransponder configuration including spectrum and transmit power parameters tominimize transponder power consumption. We show how QoS and transponder powerconsumption are represented by convex expressions and use the results toformulate a convex problem for configuring transponders in which transmitoptical power is an optimization variable. Simulation results demonstrate thatthe power consumption is reduced by 9% when the proposed routing and groomingalgorithm is applied to European Cost239 network with aggregate traffic 60Tbps. It is shown that our convex formulation for transponder parameterassignment is considerably faster than its MINLP counterpart and its ability tooptimize transmit optical power improves transponder power consumption by 8%for aggregate traffic 60 Tbps. Furthermore, we investigate the effect ofadaptive modulation assignment and transponder capacity on inherent tradeoffbetween network CAPEX and OPEX.

Energy-Efficient Resource Allocation for Elastic Optical Networks using Convex Optimization