Cognitive networks with trainable adaptive radio systems

This paper explains cognitive networks and applications of them with trainable adaptive radio systems to enable the intelligent connections amongst various nodes. Cognitive networks are used for wireless communication with the help of a node changing its transmission or sensing parameters to communicate efficiently by avoiding interference with authorized or unauthorized users. The change of parameters is based on the active monitoring of various factors in both external and internal radio environment, including radio frequency spectrum. Cognitive networks work as two-layer architecture, the second layer transmit the signals on the frequency band assigned to the first layer by sensing the radio frequency band in order to avoid the interference toward the first layer. Cognitive networks enable users to focus on the content and context rather than configuration and management of the networks. In this study, a new method is proposed for establishing and managing cognitive wireless networks with the help of trainable and adaptive radio systems