The importance of DiffServ technique, based on cellular neural network (CNN), for satellite communication systems is discussed. In satellite communication systems, DiffServ policy computational capabilities are placed at the edge points. A CNN has been designed to maximize a cost functional, related to the on-board switch throughput and QoS constraints. The CNN make feasible to take the best decision for the packet to be delivered to each output satellite beam, in order to meet specific QoS constraints. The system is based on the Internet Engineering Task Force (IETE) recommendations.
Fantacci R., Gubellini R., Pecorella T., Tarchi D. (2003). A cellular neural networks based DiffServ switch for satellite communication systems.
A cellular neural networks based DiffServ switch for satellite communication systems
Tarchi D.
2003
Abstract
The importance of DiffServ technique, based on cellular neural network (CNN), for satellite communication systems is discussed. In satellite communication systems, DiffServ policy computational capabilities are placed at the edge points. A CNN has been designed to maximize a cost functional, related to the on-board switch throughput and QoS constraints. The CNN make feasible to take the best decision for the packet to be delivered to each output satellite beam, in order to meet specific QoS constraints. The system is based on the Internet Engineering Task Force (IETE) recommendations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
