Inproceedings,
An Efficient DiffServ Switch for Satellite Communication Systems based on Cellular Neural Networks
Proceedings of VTC 2003 fall, (October 2003)
DOI: doi:10.1109/VETECF.2003.1286063
Abstract
Quality of Service (QoS) has become an important topic in modern telecommunication
network in order to guarantee multimedia traffic. In IP networks,
DiffServ seems to be the best approach to satisfy QoS constraints,
due to its end-toend philosophy. Actual trend is to consider satellite
on-board switching capabilities for managing multibeam input and
output. In this paper, for reducing computational complexity, a Cellular
Neural Network (CNN) has been proposed for the on-board switching
problem; several traffic classes have been considered and switching
algorithm has been implemented within a CNN taking into account their
priority, queue length and time spent inside queues. Numerical results
shows performance similar to optimal switching solution, but with
a higher flexibility due to neural techniques. Simulation results
have been driven with memoryless distribution and heavy-tailed distribution
for several input buffer size and switch dimension.
