1 research outputs found
Impact of Wavelength and Modulation Conversion on Transluscent Elastic Optical Networks Using MILP
Compared to legacy wavelength division multiplexing networks, elastic optical
networks (EON) have added flexibility to network deployment and management.
EONs can include previously available technology, such as signal regeneration
and wavelength conversion, as well as new features such as finer-granularity
spectrum assignment and modulation conversion. Yet each added feature adds to
the cost of the network. In order to quantify the potential benefit of each
technology, we present a link-based mixed-integer linear programming (MILP)
formulation to solve the optimal resource allocation problem. We then propose a
recursive model in order to either augment existing network deployments or
speed up the resource allocation computation time for larger networks with
higher traffic demand requirements than can be solved using an MILP. We show
through simulation that systems equipped with signal regenerators or wavelength
converters require a notably smaller total bandwidth, depending on the topology
of the network. We also show that the suboptimal recursive solution speeds up
the calculation and makes the running-time more predictable, compared to the
optimal MILP