Fundamental Limits of Non-Gaussian/Non-Linear Channels

Dr. Nghi Tran - Associate Professor Department of Electrical and Computer Engineering The University of Akron, Akron, OH, USA
Communication systems

Date: July 16th 2019
Location: Eurecom - Eurecom

Title: Fundamental Limits of Non-Gaussian/Non-Linear Channels Abstract: In many communication channels, the additive white Gaussian noise (AWGN) has been widely used to model the receiver thermal noise. Over the last few decades, many state-of-the-art techniques have been developed to address the problem of reliable transmissions over AWGN channel links in digital communications. These developments include both information-theoretic studies and explicit source and channel coding/modulation schemes for practical purposes. As a result, effective solutions have been devised and the results can serve as the fundamental theory and practice behind many modern communication systems. While AWGN model is useful in providing an insight into the underlying behavior of communication systems, it ignores some other impairments which are prevalent in various communication environments. For instance, non-Gaussian impulsive interference caused undesirable impulse triggers in the form of random bursts that occur over short durations severely affect the throughput and reliability of many modern communication systems, including power line communications, digital subscriber lines, cognitive radio, urban and indoor wireless communications, underwater acoustic communications and so on. Non-Gaussian interference is also observed in audio, video, and imaging systems. Other examples of non-traditional communication channels include channels with ultra-low and low resolution (1 to 3 bits) analog-to-digital converters (ADCs). The use of lowresolution ADCs has been considered as a promising approach to save power and to reduce cost in wireless systems using high bandwidth and/or having multiple RF chains. The use of low-resolution ADCs also significantly reduces quality requirements of key elements in RF circuitry, such as low-noise amplifiers and oscillators. Unfortunately, despite many advancements, these communication channels are not fully understood, from both an informationtheoretic and a practical point of view. This talk shall provide an introduction on the well-established area of information theory and coding for AWGN channels, as well as emerging research directions in information theory and coding for non-Gaussian channels. The talk is divided in two parts. In the first part, I will introduce some introductory materials on information theory and coding designs in AWGN channels. The main focus is on the Shannon capacity and evolution of error control coding from the simplest block codes such as Hamming codes to near-Shannon limit coding schemes that have recently been invented. I also discuss the improvements of error control coding over AWGN channels during the last few decades, with respect to both the error performance and the complexity issue. In the second part of the tutorial, I will provide an overview of current research on information theory for non-Gaussian channels and channels under non-linear quantization functions, with attention paid to impulsive interference channels and channels with low-resolution output quantization. I will also discuss major open research issues and directions for future research on these channels. Biography: Dr. Tran received the B.Eng. degree from Hanoi University of Technology, Vietnam in 2002, the M.Sc. degree (with Graduate Thesis Award) and the Ph.D. degree from the University of Saskatchewan, Canada in 2004 and 2008, respectively, all in Electrical and Computer Engineering. From May 2008 to July 2010, he was at McGill University as a Postdoctoral Scholar under the prestigious Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowship. From August 2010 to July 2011, Dr. Tran was at McGill University as a Research Associate. He also worked as a Consultant in the satellite industry. Since August 2011, Dr. Tran has been with the Department of Electrical and Computer Engineering, University of Akron, OH, USA. Dr. Tran’s research interests span the areas of signal processing and communication and information theories for wireless systems and networks, and network security. His work has been supported by US National Science Foundation and Office of Naval Research/Department of Defense. Dr. Tran is currently an Editor for IEEE Transactions on Communications, an Editor for IEEE Communications Letters, an Editor for Elsevier Physical Communication, and a Lead Guest Editor for EURASIP Journal on Wireless Communications and Networking, Special Issue on Full-Duplex Radio: Theory, Design, and Applications. Dr. Tran has been serving as a TPC member for a number of flagship IEEE conferences. He was a TPC co-Chair of the Workshop on Trusted Communications with Physical Layer Security for IEEE GLOBECOM 2014, a Publicity Chair of the Workshop on Full-Duplex Communications for Future Wireless Networks for IEEE ICC 2017, a Publicity Chair of the Second Workshop on Full-Duplex Communications for Future Wireless Networks for IEEE GLOBECOM 2017, a Publicity Chair of the Third Workshop on Full-Duplex Communications for Future Wireless Networks for IEEE ICC 2018, a Tutorial Chair of the 26th International Conference on Telecommunications 2019.

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