Abstract
In modern satellite communication systems the Quality of Service (QoS)
management has became a crucial topic due to the increasing interest
in multimedia traffic. The actual trends is to consider the satellite
networks as an integrated part of the terrestrial data networks.
In IP networks, the Differentiated Service (DiffServ) approach seems
to be the best to satisfy the QoS constraints, due to its end-to-end
philosophy. Actual trend is to consider satellite on-board switching
capabilities for managing multibeam inputs and outputs. In particular
this paper deals with a the proposal of a new Cellular Neural Network
(CNN) for the on-board switching problem in order to reduce the computational
complexity; several traffic classes, according to the DiffServ approach,
have been considered and the switch takes into account their priority,
queue length and time spent inside queues. Numerical results show
performance similar to the optimal switching solution, but with a
cellular neural network that is a more flexible structure. Simulation
results have been driven with memoryless distribution and heavy-tailed
distribution for several input buffer size and switch dimension.
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