Enhanced Multi-Parameter Cognitive Architecture for Future Wireless Communications

TL;DR

This paper proposes a new multi-parameter cognitive architecture for future wireless networks, advancing beyond spectrum sensing to enable comprehensive environment awareness, supporting more intelligent and self-organized network functionalities.

Contribution

It introduces a novel cognitive architecture capable of sensing multiple parameters, representing a significant step towards full cognition in wireless communication systems.

Findings

Feasibility demonstrated through three research examples.

Supports more intelligent, self-organized network functionalities.

Advances beyond traditional spectrum sensing cognitive radio.

Abstract

The very original concept of cognitive radio (CR) raised by Mitola targets at all the environment parameters, including those in physical layer, MAC layer, application layer as well as the information extracted from reasoning. Hence the first CR is also referred to as "full cognitive radio". However, due to its difficult implementation, FCC and Simon Haykin separately proposed a much more simplified definition, in which CR mainly detects one single parameter, i.e., spectrum occupancy, and is also called as "spectrum sensing cognitive radio". With the rapid development of wireless communication, the infrastructure of a wireless system becomes much more complicated while the functionality at every node is desired to be as intelligent as possible, say the self-organized capability in the approaching 5G cellular networks. It is then interesting to re-look into Mitola's definition and think whether one could, besides obtaining the "on/off" status of the licensed user only, achieve more parameters in a cognitive way. In this article, we propose a new cognitive architecture targeting at multiple parameters in future cellular networks, which is a one step further towards the "full cognition" compared to the most existing CR research. The new architecture is elaborated in detailed stages, and three representative examples are provided based on the recent research progress to illustrate the feasibility as well as the validity of the proposed architecture.