A cellular neural network for packet selection in a fast packet switching fabric with input buffers

We propose an implementation in terms of a cellular neural network (CNN) of the packet selection discipline in an input queueing fast packet switching (FPS) fabric. A neural network is designed which is devoid of spurious (suboptimal) responses and is guaranteed to take optimal decisions for switching packets. Such a neural network permits to lower the buffer memory requirements and to achieve throughput-mean switching delay performance close to the optimum (output) queueing alternative.