Exploration of GBP2MP Network Performance for Next Generation Using Artificial Neural Network (ANN)

被引：0

作者：

Verma, Sanjeev ^{[1
]}

Thakur, Anita ^{[1
]}

机构：

[1] Amity Univ, Amity Sch Engn & Technol, Noida, India

来源：

ADVANCES IN COMPUTING AND DATA SCIENCES, ICACDS 2016 | 2017年 / 721卷

关键词：

Optical passive network; Bit error rate; Artificial neural network; LINKS; GPON;

D O I：

10.1007/978-981-10-5427-3_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：123 / 131

页数：9

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