By Topic

Case-Based Reasoning (CBR) to estimate the Q-factor in optical networks: An initial approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

11 Author(s)
Jimenez, T. ; Univ. of Valladolid (UVa), Valladolid, Spain ; de Miguel, I. ; Aguado, J.C. ; Duran, R.J.
more authors

We discuss the potential of Case-Based Reasoning (CBR) to estimate the Q-factor in optical networks. CBR is an artificial intelligence technique which solves new problems based on the solutions of similar past problems. In this paper, as a first step, we consider a very simple scenario and develop a CBR method to estimate the Q-factor in optical links with cascades of amplifiers. While this is a toy problem, the results obtained are promising, as the CBR system performs a successful classification into good quality or low quality of transmission links in 94% of cases.

Published in:

Networks and Optical Communications (NOC), 2011 16th European Conference on

Date of Conference:

20-22 July 2011