University of Khartoum

Performance Evaluation Of Gigabit Passive Optical Network (Gpon) Access Technology

Performance Evaluation Of Gigabit Passive Optical Network (Gpon) Access Technology

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Title: Performance Evaluation Of Gigabit Passive Optical Network (Gpon) Access Technology
Author: Ali, Abrar Amir Elmubarak
Abstract: With the advancement in the communication systems, there is need for large bandwidth to send more data at higher speed. Passive Optical Network (PON) is a point-to-multipoint network architecture which is one of the most important fiber optics communication technologies. Compared to other PONs, Gigabit Passive Optical Network (GPON) is superior due to its efficiency, higher bandwidth, low cost passive connection and reduced complexity of the deployment and maintenance of the network. GPON is a Time Division multiplexing PON. It consists of Optical Line Terminal (OLT) located at the service provider’s central office, Optical Network Units (ONUs) in the end user’s side and an Optical Distribution Unit (ODN) that connects OLT with ONUs. This project provides characterization of GPON architecture and evaluate the performance of bidirectional transmission; downstream from OLT to 32 ONUs and upstream from 32 ONUs to OLT. The performance was evaluated using multiple scenarios with multiple parameters by using OptiSystem-Optiwave version7.0 software. The analysis of simulation results is based on the bit error rate (BER), Quality Factor (Q Factor) and eye pattern obtained for various scenarios. The system has been analyzed using different power source values, different length of fiber and different operating wavelength for both downstream and upstream directions. It has been found that, the more effective scenario in the performance was by increasing the power source of OLT in both downstream and upstream scenarios. The project objectives have been successfully met but some limitation has occurred. Future suggested work for the project also stated.
URI: http://khartoumspace.uofk.edu/123456789/25786
Date: 2017


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