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Computationally Efficient Monitoring of PON Fiber Link Quality Using Periodic Coding

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4 Author(s)
Rad, M.M. ; Electr. & Comput. Eng. Dept., Univ. of Waterloo, Waterloo, ON, Canada ; Fathallah, H.A. ; LaRochelle, S. ; Rusch, L.A.

We investigate experimentally and via simulation, the monitoring of fiber link quality in a PON using optical coding technology. We discuss design issues for periodic coding and the optimal detection criteria. We develop a reduced-complexity maximum-likelihood sequence estimation (RC-MLSE) algorithm. We conduct experiments to validate our detection algorithm using four periodic encoders that we designed and fabricated. Error-free detection is confirmed for encoders with separation as small as 1 m. Using the experimental data for the encoder impulse responses, we conduct Monte Carlo simulations for realistic PON geographical distributions with randomly located customers, again with error-free detection. We investigate the effect of coverage area and network size (number of subscribers) on the computational efficiency of our algorithm. We provide a bound on the probability that any given network will cause the algorithm to take exorbitant time to monitor the network, i.e., the time-out probability. Finally, we highlight the importance of averaging to remedy the power/loss budget limitations in our monitoring system to support higher network sizes and longer fiber reaches.

Published in:

Optical Communications and Networking, IEEE/OSA Journal of  (Volume:3 ,  Issue: 1 )