Parametric optimization and FWM mitigations in 64-channel DWDM system

K Venkatesan, A Chandrasekar… - … and Network Technologies …, 2022 - Springer
K Venkatesan, A Chandrasekar, PGV Ramesh
Futuristic Communication and Network Technologies: Select Proceedings of …, 2022Springer
Growth made over the decades in dense wavelength division multiplexing (DWDM) systems
has been providing an opportunity to enhance channel capacity, wider bandwidth, and
higher data rates in high-speed optical communication. This causes nonlinear effects, which
include FWM leading to increase signal distortion and more cross talk, thereby degrading
the performance of the DWDM system. The quality of data transmission can be improved by
investigating optimal parameters of DWDM system. This paper proposes an influential …
Abstract
Growth made over the decades in dense wavelength division multiplexing (DWDM) systems has been providing an opportunity to enhance channel capacity, wider bandwidth, and higher data rates in high-speed optical communication. This causes nonlinear effects, which include FWM leading to increase signal distortion and more cross talk, thereby degrading the performance of the DWDM system. The quality of data transmission can be improved by investigating optimal parameters of DWDM system. This paper proposes an influential parametric analysis to suppress FWM in DWDM system. Here simulations are performed to analyze and understand the influence of system parameters such as data rate, input power, modulation format, and channel spacing. The performance of the proposed 64-channel DWDM is evaluated by analyzing FWM mitigating factors such as Q-factor, minimum BER, eye-opening, and OSNR. The proposed system provides better performance under low input power (-10dBm), narrow channel spacing (50 GHz), and higher data rate (10Gbps/channel). Furthermore, this paper also presents the real trade-offs and estimates of bit rate, OSNR, signal power, and duty cycle in the presence of amplified spontaneous emission (ASE) noise to achieve min. BER and high Q-factor, which is required in a practical implementation of a DWDM transmission model.
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