Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence

—In response to the new challenges in the design and operation of communication networks, and taking inspiration from how living beings deal with complexity and scalability, in this position paper we introduce an innovative system concept called COgnition-BAsed NETworkS (COBANETS). The proposed approach develops around the systematic application of advanced machine learning techniques and, in particular, unsupervised deep learning and probabilistic generative models for system-wide learning, modeling, optimization, and data representation. Moreover, in COBANETS we propose to combine this learning architecture with the emerging network virtualization paradigms, which make it possible to actuate automatic optimization and reconfiguration strategies at the system level, thus fully unleashing the potential of the learning approach. Compared to past and current research efforts in this area, the technical approach outlined in this paper is deeply interdisciplinary and more comprehensive,...

• Type: Journal
• Year: 2015
• Where: ACCESS
• Authors: Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
• Keywords: ACCESS 2015