Design Passive Optical Network Using Multiclass Classification Neural Network

To require the order of last mile and the increasing demands of high quality of internet, the network architecture of FTTH (Fiber to the Home) has been chosen by numerous ISP (Internet Service Provider). Poor planning does not only increase the infrastructure costs, but it also increases maintenance costs. In this study, the authors focus on the design of passive optical network by using multiclass classification [9] in backpropagation neural network to shorten the FTTH network planning based on passive optical network design to determine final splitter type which refers to the feasibility of QoS (Quality of Service) and Cost Efficiency. Dataset in this study utilizes GIS (Geographic Information System) report with 33 sub-districts in Malang Regency in 2019 data layer. As a result, after 7300 epoch, the accuracy training was 99.99% and the splitter classification accuracy was 98.76%.

Spectrum Utilization with Increasing Traffic, Based on ILP Model in Elastic Optical Networks

The traffic volume due to bandwidth hungry multimedia and internet applications is growing exponentially and demands a significant change in communication networks. Due to the high speed communication requirements present researchers are giving interest in efficient, adaptive and cost effective optical network design. Recent works in optical networking using optical fiber communication focusing on the efficient utilization of resources by flexibly utilizing the spectrum and adaptive networking to support a better quality of service (QoS). The flexible grid in optical spectrum and adaptive optical networking save spectrum with improvement in energy and spectral efficiency. Simple modulation of a signal can support lower bit rate transmissions, which are more sophisticated for higher bit rates. Recent advances on hardware such as optical transponders and switches make it more feasible to develop a new elastic-optical networking (EON) paradigm. Current research efforts are on new innovations of optical transponders and optical switches to support EON functionalities. The measure of spectrum utilization factor with respect to the value of traffic requirement increases the flexibility of the networks. The Integer Linear Programming (ILP) is used to extract the optimal solution for analysis of utilized frequency slots with available slots and increased traffic in the network. This framework also calculates the spectrum utilization for different traffic in order to choose required frequency slot for the EON to provide uninterrupted network service.