• S.Y.M. Bandiri
  • T.C. Pimenta
  • D.H. Spadoti



Adaptive FEC, Adaptive Modulation, Blocking Probability, Energy Consumption


In this paper, the novel Adaptive Modulation and Code (AMC) algorithm aims to reduce energy consumption in elastic optical network is developed. The proposed AMC algorithm adaptively allocates both, the appropriate modulation and the forward error correction (FEC), according to the actual physical distance and the optical signal to noise ratio (OSNR) of the lightpath, respectively. The algorithm compares the previous energy consumption with the actual aiming to select the lowest. The obtained results have been compared with the case when shortest path (SP) and minimum hops (MH) algorithms are employed. Simulations outcomes highlight that energy consumption decreases when AMC algorithm is adopted in comparison with SP or MH ones. The energy consumption increases proportionally with the physical lightpath distance. Finally, the blocking probability decreases whereas AMC is utilized.


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How to Cite

S.Y.M. Bandiri, T.C. Pimenta, & D.H. Spadoti. (2018). ADAPTIVE MODULATION AND CODE STRATEGY TO REDUCE ENERGY CONSUMPTION IN ELASTIC OPTICAL NETWORK. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 17(1), 65–84.



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