The 13 articles in this special section focus on artificial intelligence and cognitive wireless
communications. With the rapid development of wireless communication and networking …

The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …

Worldwide regulatory agencies have observed that most of the radio frequency spectrum is
inefficiently utilized. For example, cellular network frequency bands are over-loaded and …

Cognitive radio networks challenge the traditional wireless networking paradigm by
introducing concepts firmly stemmed into the Artificial Intelligence (AI) field, ie, learning and …

This cutting-edge resource offers practical overview of cognitive radio, a paradigm for
wireless communications in which a network or a wireless node changes its transmission or …

Future radio communication networks will be heterogeneous in nature and will need to
dynamically adapt to changing needs. This will require networks, sub-systems and devices …

Cognitive radios are expected to play a major role towards meeting the exploding traffic
demand over wireless systems. A cognitive radio node senses the environment, analyzes …

The ability to intelligently utilize resources to meet the need of growing diversity in services
and user behavior marks the future of wireless communication systems. Intelligent wireless …

A Brief Journey through “Cognitive Wireless Communication Networks” Ekram Hossain,
University of Manitoba, Winnipeg, Canada Vijay Bhargava, University of British Columbia …

COGNITIVE WIRELESS NETWORKS Page 1 IEEE Wireless Communications• August 2007 4
he paradigm of cognitive radios was introduced by Joseph Mitola III less than a decade ago in …