We have analyzed the impact of digital and optical signal processing algorithms, that is, Volterra equalization (VE), digital backpropagation (BP), and optical phase conjugation with nonlinearity module (OPC-NM), in next generation 10 Gbit/s (also referred to as XG) DP-QPSK long haul WDM (fixed-grid) passive optical network (PON) without midspan repeaters over 120 km standard single mode fiber (SMF) link for downstream signals. Due to the compensation of optical Kerr effects, the sensitivity penalty is improved by 2 dB by implementing BP algorithm, 1.5 dB by VE algorithm, and 2.69 dB by OPC-NM. Moreover, with the implementation of NL equalization technique, we are able to get the transmission distance of 126.6 km SMF for the 1 : 1024 split ratio at 5 GHz channel spacing in the nonlinear region.
By means of numerical simulations, we demonstrated that all-optical signal processing methods (XPMsuppressor module and in-line nonlinear equalization) significantly increase the system performance of digital nonlinear compensation (digital backward propagation) and improve the system performance in five-channel 112 Gbit/s DP-16QAM and DP-QDB transmission over 2400 km largeeffective-area pure-silica-core fiber (LA eff -PSCF). The system performance is quantified with the help of Q-factor (dB) for both dispersion-managed and nondispersion-managed fiber links.
Abstract-The concept of reconfigurable manufacturing system has emerged drastically as it reduces the product lead time and meets with the market demand efficiently. The performance of a manufacturing system lies on a set of planning and scheduling data incorporated with the machining capabilities keeping in view the market demands. The proposed work focuses on the formulation of an optimal framework for production over part families. Machine's kinematic configurations are generated considering tool's degree of freedom. The application of non-dominating sorting genetic algorithms over machine configurations makes this approach more reliable. A case study has been presented to illustrate the application of proposed model based on the technological constraints.
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