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Neural network based cell scheduling in ATM node

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1 Author(s)
Reljin, I.S. ; PTT Coll., Belgrade, Yugoslavia

This letter deals with the queueing discipline for the superposition of arrival processes in the asynchronous transfer mode (ATM) case, particularly for the bursty traffic. A competitive algorithm, based on neural networks, for the cell scheduling is suggested. Computer simulations demonstrate that the new algorithm may be very useful in the bursty traffic case: the cell loss rate is at least one order of magnitude lower than in case of the classical round-robin discipline.

Published in:

Communications Letters, IEEE  (Volume:2 ,  Issue: 3 )