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The authors plan green-field PON networks to minimize their total deployment costs. They propose an efficient heuristic called the Recursive Association and Relocation Algorithm (RARA) to solve the optimization problem. Their algorithm can significantly reduce PON network deployment costs compared to an intuitive random-cut sectoring approach. To further tune down the costs, they also exploit the opportunity of cable conduit sharing by proposing an extension to RARA. Their case studies show that there are saturating trends for the PON deployment costs with the increase of the three system parameters, including maximal optical split ratio, maximal transmission distance, and maximal differential distance.
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