The ILP based on source formulation is newly proposed in recent literatures. This paper firstly applies the ILP based on source formulation into the current popular Waveband switching (WBS) network. Our research shows that the ILP based on source formulation can effectively improve the network performance. Two optimized WBS network scenarios are discussed in this paper, including the networks constructed with multi-granular OXCs (MG-OXC) and the networks which is not limited to MG-OXCs but constrained by the condition that all wavebands only contain lightpaths to the same destination. Numeric results show that source-formulation ILP can require less computational effort compared to flow-formulation ILP.
The foreseeable lightpath demands (FLD) include scheduled lightpath demands (SLD) and predictable lightpath demands (PLD, lightpath demands that can be approximatively forecasted through the history traffic record). Since the time disjointness each FLD, the network planner can design the capacity of the network more compactly. We formulate the routing and wavelength assignment (RWA) problem when network dimensioning is coupled as the Integer linear programming (ILP) which includes the link formulation and path formulation. To reduce the computing complexity, a new routing algorithm based on the consideration of backup path is proposed. The software experiment is run and shows that the gain is about 20% when the backup path needs to be setup. At last we propose a new RWA algorithm to adapt the FLDs and dynamic traffic into the wavelength routing network.
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