'Cognitive’ Green Radio – How can Intelligence Save Energy?

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• Dr. David Grace, University of York
• Wednesday 26 February 2014, 14:00-15:00
• EEE Department, Room 1109A (Control & Power Group's seminar room).

If you have a question about this talk, please contact Kin K Leung.

5G wireless communication networks promise to support significant increases in data rates and capacity density. In order to achieve this will require a revolution in the way such systems are designed, as device and network energy consumption will become an ever more important constraint, from both the technical and regulatory perspectives. This talk will explore the critical parameters, including energy models, and also show how the application of distributed artificial intelligence and self-awareness through cognition can be used to significantly improve the energy efficiency of these future networks. The talk will specifically examine the application of reinforcement learning and transfer learning on spectrum assignment and topology control. It will also briefly consider issues limiting the effectiveness and reliability of such approaches, including the impact of potential security threats. Finally, it will introduce future directions for research in this area.

Biography David Grace received his PhD from University of York in 1999. Since 1994 he has been a member of the Department of Electronics at York, where he is Head of Communications and Signal Processing Research Group. He is also a Co-Director of the York – Zhejiang Lab on Cognitive Radio and Green Communications, and a Guest Professor at Zhejiang University. Current research interests include cognitive green radio, particularly applying distributed artificial intelligence to resource and topology management to improve overall energy efficiency; 5G small cell architectures; dynamic spectrum access and interference management. He is a one of the lead investigators on FP7 ABSOLUTE which is dealing with extending LTE -A for emergency/temporary events through application of cognitive techniques, and recently a co-investigator of the FP7 BuNGee project dealing with broadband next generation access. He is an author of over 180 papers, and author/editor of 2 books. He currently chairs IEEE Technical Committee on Cognitive Networks and the Worldwide Universities Network Cognitive Communications Consortium (WUN CogCom). He is a founding member of the IEEE Technical Committee on Green Communications and Computing. In 2000, he jointly founded SkyLARC Technologies Ltd, and was one of its directors.

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