Abstract
New era of world needed fast communication network for that optical fiber communication is promising solution. Optical networks are used in closed systems to open systems for various application like video on demand, voice over internet, video conference and real time broadcast. So fast performance criteria prediction of optical fiber network is time and cost saving solution. The aim of this paper is to determine the performance characteristic of Gigabit point to multipoint (GBP2MP) optical fiber network using artificial neural network. In artificial neural model (ANN), the input is frequency and fiber length in kilometres. Performance of optical network checked in term of minimum bit error rate (BER) parameters and results are discussed the performance of optical fiber network (OFN) when varying the length of fiber and frequency respectively.
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Acknowledgements
We would like to thanks Department of Electronics and Communication, Amity School of Engineering & Technology-Amity University Uttar Pradesh, for providing us resources and facilities for implementation this research.
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Verma, S., Thakur, A. (2017). Exploration of GBP2MP Network Performance for Next Generation Using Artificial Neural Network (ANN). In: Singh, M., Gupta, P., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds) Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore. https://doi.org/10.1007/978-981-10-5427-3_13
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DOI: https://doi.org/10.1007/978-981-10-5427-3_13
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