  Recent years have seen an increasing interest in the design of AQM (Active
Queue Management) controllers. The purpose of these controllers is to manage
the network congestion under varying loads, link delays and bandwidth. In this
paper, a new AQM controller is proposed which is trained by using the SVM
(Support Vector Machine) with the RBF (Radial Basis Function) kernal. The
proposed controller is called the support vector based AQM (SAM) controller.
The performance of the proposed controller has been compared with three
conventional AQM controllers, namely the Random Early Detection, Blue and
Proportional Plus Integral Controller. The preliminary simulation studies show
that the performance of the proposed controller is comparable to the
conventional controllers. However, the proposed controller is more efficient in
controlling the queue size than the conventional controllers.
