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Resource allocations during the simulation can be done manually or automatically by a scheduling algorithm.
The actual operation time allowed by the higher level for processing an operation at the lower level is subsequently determined by a scheduling algorithm at the higher level.
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This architecture is derived by replacing the filtering units by our previously published throughput-optimized ones and by developing a scheduling algorithm suited to the special features of our filtering units.
To resolve packet contention in the involved optical switches, Fibre Delay Lines (for delay assignment) and wavelength converters (for wavelength conversion) are used to reschedule the contending packets, by means of a scheduling algorithm.
These architectures must be controlled by a packet scheduling algorithm, which solves contentions in the transfer of data units to switch outputs.
We suppose that a certain group of N-subcarriers has been selected for coordinated transmission by an arbitrary scheduling algorithm.
Currently, two algorithms are implemented: (i the simple edge scheduler follows the scheduling order given by the task list provided by the list scheduling algorithm; (ii the switching edge scheduler reuses the task switcher algorithm discussed in Section 4.2.1 for edge scheduling.
Therefore, supposing a certain K subcarriers has been selected by arbitrary scheduling algorithm.
This also demonstrates the advantage of our proposed scheduling algorithm over the one-by-one scheduling algorithms that have been proposed in literature.
Note that the sample completion time of each task is determined during the calculation of SET j (line 1 in Algorithm 1) as follows: {SCT}_t={s}_t+{e}_t where s t is the scheduled start time of task t (determined by the scheduling algorithm) and e t is the execution time of task t.
A suboptimal scheduling algorithm by using Gram-Schmidt Orthogonalization (GSO) in MU-MISO system was proposed [3].
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