Chintha Tellambura | University of Alberta (original) (raw)

Chintha Tellambura

Chintha Tellambura (F’11) received BSc in Electronics and Telecommunications from University of Moratuwa, Sri Lanka, MSc in electronics from the King’s College, University of London and PhD in electrical engineering from the University of Victoria, Canada. He was with Monash University, Australia (1997-2002). Since 2002, he has been with the Department of Electrical and Computer Engineering, University of Alberta, where he is full Professor. His current research interests include cognitive radio, heterogeneous cellular networks, fifth-generation wireless networks, and machine learning algorithms.He has authored or co-authored over 560 journal and conference papers, with an h-index of 77 (Google Scholar). He has supervised or co-supervised over 60 MSc, PhD and PDF trainees. He is a Fellow of IEEE (2011) and Fellow of The Canadian Academy of Engineering (2017). He received the Best Paper Awards IEEE International Conference on Communications (ICC) in 2012 and 2017. He is the winner of the prestigious McCalla Professorship and the Killam Annual Professorship from the University of Alberta.

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Papers by Chintha Tellambura

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, 2010

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011

2007 IEEE Wireless Communications and Networking Conference, 2007

IEEE Transactions on Communications, Mar 1, 2019

IEEE Transactions on Wireless Communications, 2019

IEEE Transactions on Wireless Communications, Feb 1, 2018

2017 IEEE Wireless Communications and Networking Conference (WCNC), 2017

Journal of Science and Technology: Issue on Information and Communications Technology, 2017

We characterize the performance of energy detector (ED) over square-law, square-law selection, an... more We characterize the performance of energy detector (ED) over square-law, square-law selection, and switch-and-stay diversity combining schemes. The exact average probabilities of a miss (Pm), and a false alarm (Pf) are derived in closed-form. To derive Pm for versatile Nakagami-m and Rician fading channels, a twofold approach, using the probability density function (PDF) and the moment generating function (MGF), is applied. Using the PDF method, the achievable diversity order over the Nakagami-m channel is derived. However, this method becomes intractable when analyzing Pm of the aforementioned combiners in Rician channels, but the MGF method can handle this case. Our analysis helps to quantify the performance gains of ED due to diversity reception. Theoretical derivations are verified through numerical Monte-Carlo simulation results.