Colloquia, Seminars and Conference News
Title : Agile Wireless Communications and Networking Employing Cognitive Radio Systems
Date : March 27, 2009. (11:00 am) Tea starts half an hour before each seminar
Location: ITEB 336
Speaker : Alexander M. Wyglinski
Abstract:
Modern society depends on telecommunications in order to enable a diverse range of activities, such as financial transactions, public safety, education, and social networking. To achieve ubiquitous and robust last-mile access, many applications require some form of wireless transmission to connect the end-users with the rest of the network. However, several serious issues are beginning to emerge given society’s growing dependence on wireless access. For instance, although the demand for wireless access based on the number of users and applications is rising steadily, the amount of freely-available electromagnetic spectrum is rather limited and may not satisfy this need. Furthermore, new complex wireless networking architectures are becoming increasingly difficult to realize using conventional radio technology. Consequently, cognitive radio has been proposed as a viable solution to these issues.
A cognitive radio is a type of wireless networking system that combines autonomous device operating parameter reconfigurability, real-time situational awareness of the radio/network/system environment, and artificial intelligence-driven decision-making for achieving the “best possible” parameter selection. This is all made possible by employing microprocessor technology at the core of a cognitive radio system in order to perform baseband digital signal processing and digital communication operations.
Given the breadth of research topics actively being pursued in cognitive radio systems, this presentation will specifically focus on: (1) digital transmission and digital signal processing techniques for enabling high-speed wireless data access across several non-contiguous frequency bands, and (2) distributed cross-layer optimization techniques based on simultaneously solving multiple objective functions. Several state-of-the-art implementations devised by the presenter and his research team will be described, and the latest research findings in these areas will be presented.
Bio:Alexander M. Wyglinski is an Assistant Professor of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI), Co-Director of the WPI Limerick Project Center, and Director of the Wireless Innovation Laboratory (WI Lab). He received his Ph.D. degree from McGill University in 2005, his M.S. degree from Queens University at Kingston in 2000, and his B.Eng. degree from McGill University in 1999, all in electrical engineering.
Professor Wyglinski is very actively involved in the wireless communications research community, especially in the fields of cognitive radio systems and dynamic spectrum access networks. He currently serves on the editorial boards of both IEEE Communications Magazine and IEEE Communications Surveys and Tutorials, he is a tutorial co-chair for the 2008 IEEE Symposia on New Frontiers in Dynamic Spectrum Access Networks (IEEE DySPAN 2008), he is the student travel grants chair for the 2010 IEEE Symposia on New Frontiers in Dynamic Spectrum Access Networks (IEEE DySPAN 2010), he is the Communications Techniques and Technologies track co-chair of the 2009 IEEE Military Communications Conference, he is the Wireless Mobile Communications track chair of the 2008 IEEE Military Communications Conference, he has been a guest co-editor for the IEEE Communications Magazine with respect to two feature topics on cognitive radio (May 2007, April 2008), he was a technical program committee co-chair of the Second International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2007), he was a track chair for both the 64th and 66th IEEE Vehicular Technology Conference (VTC), and he is currently a technical program committee member on numerous IEEE and other international conferences in wireless communications and networks.
Professor Wyglinski is a member of the IEEE, IEEE Communications Society, IEEE Signal Processing Society, IEEE Vehicular Technology Society, and IEEE Women in Engineering. Professor Wyglinski's current research interests are in the areas of wireless communications, wireless networks, cognitive radios, software-defined radios, transceiver optimization algorithms, dynamic spectrum access networks, spectrum sensing techniques, machine learning techniques for communication systems, signal processing techniques for digital communications, hybrid fiber-wireless networking, and both multi-hop and ad hoc networks.
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