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Antenna Design for Cognitive Radio

Christos ChristodoulouChristos Christodoulou received his Ph.D. degree in Electrical Engineering from North Carolina State University in 1985. He is currently the Dean of the School of Engineering at the University of New Mexico. He is an IEEE Fellow, a member of URSI, Commission B, and a Distinguished Professor at UNM. He is the recipient of the 2010 IEEE John Krauss Antenna Award for his work on reconfigurable fractal antennas using MEMS switches, the Lawton-Ellis Award, and the Gardner Zemke Professorship at the University of New Mexico, the IEEE Outstanding Engineering Educator in 2012 (Albuquerque Section), and has been inducted in the Alumni Hall of Fame for the Electrical and Computer Engineering Department, at North Carolina State University, in 2016.

He was appointed as an IEEE AP-S Distinguished Lecturer (2007-2010) and served as an associate editor for the IEEE Transactions on Antennas and Propagation for six years. He served as a co-editor for a special issue on “Reconfigurable Systems” in the IEEE Proceedings (March 2015), a co-editor of the IEEE Antennas and Propagation Special issue on “Synthesis and Optimization Techniques in Electromagnetics and Antenna System Design” (March 2007), and for the Special issue on “Antenna Systems and Propagation for Cognitive Radio” in 2014. Since 2013 he has been serving as the series editor for Artech House Publishing company for the area of Antennas and Propagation. He has published over 500 papers in journals and conferences, written 17 book chapters, co-authored 8 books, and has several patents. Over his acadenic career he has served as the major advisor for 29 Ph.D and 72 M.S. Students. His research interests are in the areas of modeling of electromagnetic systems, machine learning in electromagnetics, high power microwave antennas, reconfigurable antennas for cognitive radio, and RF/Photonics.

 

Youssef TawkYoussef Tawk is an Assistant Professor in the Electrical and Computer Engineering Department at Notre Dame University (NDU), Louaize.

Prior to joining NDU, Dr. Tawk was a research professor at the University of New Mexico.

He received the bachelor’s degree in computer and communication engineering (highest distinction) from Notre Dame University, Louaize, in 2006, where he was the valedictorian of his graduating year. Dr. Tawk received the Master’s degree in electrical and computer engineering from the American University of Beirut, in 2008, and the Ph.D. degree from the University of New Mexico, Albuquerque, NM, USA, in 2011, where he also completed a postdoctoral fellowship.

He has authored several journal and conference papers many of which received finalist positions and honorable mentions in several paper contests. Dr. Tawk is the co-author of two books and one book chapter as well as several patents.

His research interests include cognitive radio, reconfigurable RF systems, deployable antennas, microwave engineering and mm-wave technology.

Dr. Tawk is the recipient of many awards and honors throughout his career and studies.

 

Joseph CostantineJoseph Costantine is an Associate Professor in the Electrical and Computer Engineering at the American University of Beirut (AUB). Prior to joining AUB, Dr. Costantine was an Assistant Professor at California State University, Fullerton. He received the bachelor’s degree in electrical, electronics, computer and communications engineering from the second branch of the Faculty of Engineering, Lebanese University, Beirut, Lebanon, in 2004, the Master’s degree in computer and communications engineering from the American University of Beirut, in 2006, and the Ph.D. degree from the University of New Mexico, Albuquerque, NM, USA, in 2009, where he also completed a postdoctoral fellowship in July 2010.

He has authored many research papers, two books and one book chapter as well as several patents. His major research interests reside in reconfigurable antennas for IoT and compact devices, cognitive radio, RF systems for biomedical applications, RF energy harvesting and deployable antennas for small satellites. Dr. Costantine is the recipient of many awards including the summer faculty fellowship from the space vehicles directorate in Albuquerque, NM, USA, for three consecutive years.

 

Abstract

This short course discusses the design of antennas for cognitive radio. A Cognitive Radio (CR) system, built on a Software Defined Radio (SDR) platform, aims to improve spectral and power utilization by dynamically interacting with any RF environment. The two main objectives of cognitive radios are to ensure highly reliable communication links whenever and wherever needed (in space and terrestrial applications), and to efficiently utilize the radio spectrum. In order to meet these requirements, cognitive radio systems are expected to use “machine learning” techniques to software-control not only the antenna structure but the entire radio system to sense the channel activity over a wide range of frequencies, tune the radiation and communication characteristics accordingly, and self-learn from past experience. The aim of this short course

is to introduce the subject of cognitive radio, the role that antennas can play now and in the future and how to design such antenna systems.

 

Course Outline

  1. Introduction to Cognitive Radio
  2. A System Overview of Cognitive Radio and Software Defined Radio
  3. Antenna Design Requirements for Cognitive Radio
  4. Wideband sensing antennas
  5. Communicating Reconfigurable Antennas for Cognitive Radio
  6. Software Control of Reconfigurable Antennas
  7. Implementation of MIMO Antennas on Cognitive Radio
  8. Machine Learning Implementation in Cognitive Radio
  9. Cognitive Radio for Radar and Space Applications
  10. The Future of Cognitive Radio
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12 February 2018
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