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.
This paper introduces a new way to allocate the modulation format and improves the energy efficiency in elastic optical networks. For every connection request, both the quality of transmission and quality of service requirements are investigated. The allocation of modulation formats is based on both the physical distance and the required number of frequency slots. To improve the energy efficiency, Yen's algorithm is executed for every connection requested, and the lightpath with the lowest power consumption is selected. Numerical results were compared with adaptive modulation algorithms presented in the existing literature. The energy efficiency was improved by up to 27%, the used bandwidth available was reduced by up to 60%, and the blocking probability was decreased by 30% using our proposed adaptive algorithm.
I. INTRODUCTION The rapid growth in the use of information networks, increasing the data rates, led to the necessity to implement novel technique aiming to improve wireless networks communication performance. In conventional communication systems, transmission characteristics are adjusted for the worst channel setting behavior in order to provide a lower limit to a specific error rate [1]. Adaptive Modulation and Coding (AMC), which includes both adaptive modulation (AdM) and adaptive Forward Error Correction (AdFEC) operating together, have been developed to face fading and enhance the wireless systems performance. They maximize bandwidth efficiency through selecting an optimal combination from the modulation and coding scheme (MCS), where the resolution depends on the channel state information. Consequently, every modulation and code scheme will be linked to a constellation size and coding rate respectively [2]. AMC allows spectrally efficient transmission in function of time-
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