DWDM reconstruction using supervised and unsupervised learning approaches
K Venkatesan, A Chandrasekar… - … and Advanced Materials …, 2021 - oam-rc.inoe.ro
This paper attempts to reconstruct and optimize a DWDM system by avoiding distortions
such as Four-Wave Mixing (FWM) and high signal distortion due Inter-Channel Interference
(ICI) using supervised and unsupervised learning approaches. FWM in high channel DWDM
system reduces the network flexibility, transmission capacity and increases computational
difficulties. The ICI and Signal distortion that affects spectral efficiency, increases network
latency, leading to undesirable data re-transmission. To solve these above stated issues, the …
such as Four-Wave Mixing (FWM) and high signal distortion due Inter-Channel Interference
(ICI) using supervised and unsupervised learning approaches. FWM in high channel DWDM
system reduces the network flexibility, transmission capacity and increases computational
difficulties. The ICI and Signal distortion that affects spectral efficiency, increases network
latency, leading to undesirable data re-transmission. To solve these above stated issues, the …
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