Fiber impairments mitigation in OFDM based cognitive optical networks
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Fiber impairments mitigation in OFDM based cognitive optical networks Ilavarasan Tamilarasan1 · Brindha Saminathan2 · Meenakshi Murugappan3 Received: 4 August 2019 / Accepted: 17 April 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract An adaptive impairments assessment is necessary to evaluate the impact of various linear and nonlinear effects in future generation cognitive optical transport links. In this paper, an Adaptive Fiber Impairment Mitigation (AFIM) algorithm is proposed to identify a suitable mitigation scheme for the cognitive environment. The AFIM algorithm will assess fiber impairments and adaptively select a suitable mitigation scheme with minimum complexity based on the present network conditions and user performance target. The performance of AFIM algorithm is compared with Fixed Fiber Impairment Mitigation approach in terms of outage probability and outage capacity analysis. An Orthogonal Frequency Division Multiplexing based Mode Division Multiplexing system with Few Mode Fiber (FMF) is suggested as a solution to increase the nonlinearity threshold limit of the system. The L2by-3 nonlinear transform based Peak to Average Power Ratio reduction technique is implemented to mitigate fiber nonlinear effects in FMF based backbone and backhaul links. The performance analysis of the FMF system has been evaluated and compared with that of Single Mode Fiber system. The proposed analytical model and mitigation schemes are integrated with the AFIM algorithm to realize the cognitive optical network. Further, the result shows that AFIM algorithm enhances the system capacity by more than 6-folds at an outage probability of 0.5 and reduces the outage probability to 0.6 at the capacity range of 20 Gbps. Keywords Fiber nonlinearity · PAPR · Cognitive optical networks · FMF · MDM · MIMO
1 Introduction A Cognitive Optical Network (CON) is a new paradigm to address the increasing complexity of optical networks and provide an efficient autonomic as well as user-controlled network (Zervas and Simeonidou 2010). The use of cognition becomes necessary to * Ilavarasan Tamilarasan [email protected] 1
School of Electronics Engineering, Vellore Institute of Technology, Vellore, India
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Department of ECE, Sri Sairam Engineering College, Chennai, India
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Department of ECE, Anna University, Chennai, India
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realize an efficient next generation optical communication networks. The complexity of current optical networks are increasing exponentially due to the varied system requirements such as of multiple data rates, modulation formats, laser power levels and fiber transmission lengths. But unfortunately present networks are not flexible to adapt with these dynamic requirements and relies on the human knowledge and intervention to maintain them. To overcome these limitations networks need to be more dynamic, proactive and should have cognition capabilities. The basic concept is to make the network more intelligent in order
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