Abstract
Translucent networks utilize sparse placements of optical–electronic–optical
(O/E/O) 3R (reamplification, reshaping, and retiming) regenerators to improve
the cost effectiveness and energy efficiency of wavelength-routed optical
transport networks. In this paper, we show that the energy cost of a translucent
network can be further reduced by leveraging the energy efficiency of all-optical
2R (reamplification and reshaping) regenerators. We propose a translucent
network infrastructure that uses all-optical 2R regenerators to partially
replace O/E/O 3R regenerators and implements mixed regenerator placements
(MRP).We first consider the problem of MRP along a single given
path, and propose three path-based impairment-aware MRP algorithms, based
on periodic placement, genetic algorithm (GA), and ant colony optimization
(ACO). We then address the offline network planning problem and develop a
heuristic algorithm. By incorporating with one of the proposed MRP algorithms,
the heuristic can achieve joint optimization of MRP and routing and wavelength
assignment for high energy efficiency. We design simulations to compare the
performance of different offline network planning scenarios and to see which
one can provide the best balance between quality of transmission and energy
cost. Simulation results show that the algorithm achieves 58.91–73.62%
saving on regeneration energy, compared to the traditional scheme without
all-optical 2R regenerators. The results also indicate that the joint optimization
using the MRP-GA obtains the best network planning in terms of energy efficiency.
Finally, we address the problem of online provisioning, and propose several
algorithms to serve dynamic lightpath requests in translucent networks with
MRP, and implement them in simulations to compare their performance in terms
of blocking probability. Simulation results indicate that the online provisioning
algorithm that utilizes the combination of the MRP-GA and a multiple MRP scheme
achieves the lowest blocking probability.
© 2012 IEEE
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