On a synergetic architecture for cognitive adaptive behavior of future communication systems

Abstract

The future area of communication systems is considered as a representative example of a complex adaptive organization, where several elements, with various computational capabilities and network resources, are interconnected. This evolution renders imperative the need for adaptable and scalable systems that operate in unpredictable environments, having self-management features and the ability to handle complexity. The scope of this paper is to describe a coherent architectural framework in order to support adaptive and cognitive behavior of future communication systems, forming synergies from the most microscopic up to the most macroscopic level. Cognitive mechanisms embedded at all scales of a communication system will enable its autonomous hypostasis, facilitating also its self-organization. The synergetic architecture is modeled using autonomic element, dynamical hierarchies, and self-similarity concepts.