19 May

IEEE VT Society Distinguished Lecture (hybrid) by Prof. Rui Dinis on Nonlinear effects in digital communications

On behalf of the IEEE joint VT/COM/IT Sweden Chapter Board, we are delighted to invite you to an IEEE Vehicular Technology Society Virtual Distinguished Lecture (VDL) by Prof. Rui Dinis, Technical University of Lisbon, Portugal.

Title: Nonlinear effects in digital communications: analytical evaluation of their effects and how to use them to improve the performance

Time and date: May 11, 2022, 10:15-11:30 CET


It is widely accepted that nonlinear effects is something that should be avoided in digital communications. There are two main reasons for this. The first one is that the theoretical analysis of the impact of a given nonlinear device is not simple. The second, and more important, is the nonlinear devices can lead to significant spectral widening effects and/or performance degradation. Since the signals associated to widely employed techniques like OFDM (Orthogonal Frequency Division Multiplexing) and/or MIMO (Multi-Input, Multi-Output) schemes can have very large envelope fluctuations and PAPR (Peak-to-Average Power Rate), they are prone to nonlinear distortion effects like the ones associated to quantizers and power amplifiers. For these reasons, there has been a huge effort in the design of quasi-linear amplifiers, as well as techniques to reduce the PAPR of digital signals.
It was recently shown that strong nonlinear distortion effects do not necessarily mean performance degradation. This is due to the fact that the nonlinear distortion component has some information on the transmitted signals, which can be employed to improve the performance. In fact, the optimum maximum likelihood (ML) performance of nonlinear OFDM schemes can even be better than the performance of the corresponding linear. However, the complexity of optimum ML receivers is prohibitively high, even for a moderate number of subcarriers, which lead to the development of practical, sub-optimum receivers able to achieve the optimum performance of nonlinear OFDM.
In this talk we start by making an overview on the common nonlinear characteristics that arise in digital communications, as well as techniques for studying analytically the impact of nonlinear effects on given signals, with emphasis on the signals associated OFDM techniques and MIMO schemes. Then we present some key results on the impact of nonlinear operations in the spectral occupation and performance. Next, we study the optimum performance of nonlinear OFDM and MIMO schemes, showing the remarkable result that nonlinear techniques can have much better performance than the corresponding linear ones. In fact, a nonlinear device at the transmitter can be regarded as a kind of channel coding scheme if it is properly designed. Finally, we present some practical receivers able to harvest these potential nonlinear performance gains.

09 Dec

IEEE Virtual Distinguished Lecture (VDL) by Prof. Lara Dolecek

On behalf of the IEEE joint VT/COM/IT Sweden Chapter Board, we are delighted to invite you to an IEEE Information Theory Society Virtual Distinguished Lecture (VDL) by Prof. Lara Dolecek, UCLA, USA.

Title: Overcoming Data Availability Attacks in Blockchain Systems: A Graph-Coding Perspective

Time and date: December 14, 2021, 17:00-18:00 CET

Registration: https://events.vtools.ieee.org/m/293670

Abstract: Blockchain systems are already gaining popularity in a variety of applications due to their decentralized design that is favorable in many settings. To overcome excessive storage and latency burden, light nodes and side blockchains have been proposed to, respectively, enhance the basic blockchain architecture. However, both light nodes and side chains are vulnerable to data availability (DA) attacks by malicious nodes.  Recently, a technique based on erasure codes called Coded Merkle Tree (CMT) was proposed by Yu et al. that enables light nodes to detect a DA attack with high probability. CMT method relies on the use of random LDPC codes. We build on the previous work and demonstrate that graph codes specifically designed for the target applications in blockchain systems perform better than randomly constructed codes; intriguingly, the new finite-length code optimization framework unveils code properties beyond the established metrics.

Biography: Lara Dolecek is a Full Professor with the Electrical and Computer Engineering Department and Mathematics Department (courtesy) at the University of California, Los Angeles (UCLA). She holds a B.S. (with honors), M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences, as well as an M.A. degree in Statistics, all from the University of California, Berkeley.She received several awards for her research and teaching including the David J. Sakrison Memorial Prize from UC Berkeley, NSF CAREER Award, IBM Faculty Award, Okawa Research Grant and the Northrop Grumman Excellence in Teaching Award from UCLA. With her research group and collaborators, she received numerous best paper awards. She currently serves as an Associate Editor for IEEE Transactions on Information Theory and as the Secretary of the IEEE Information Theory Society. Prof. Dolecek is a 2021-2022 Distinguished Lecturer of the IEEE Information Theory Society. Prof. Dolecek has served as a consultant for a number of companies specializing in data communications and storage. In her current research, she is especially excited to explore the role of channel coding methods in blockchain systems, quantum information systems, and distributed storage and computing.