Distinguished Keynote Speaker at 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022) on 25-26 August, 2022 through Virtual Mode at Amity University, Noida, UP, India
International Conference on Signal Processing and Integrated Networks aims to bring together scientists, academicians, and industrialists working in the field of Signal Processing and Integrated Networks to discuss new ideas and promote research work. The conference will be devoted to all advancements in Signal Processing and Integrated Networks. Researchers from all over the country and abroad will gather in order to introduce their recent advances in the field and thereby promote the exchange of new ideas, results, and techniques. The conference will be a successive catalyst in promoting research work, sharing views, and getting innovative ideas in this field.
Prof. Muriel Médard will be the Keynote Speaker with an address titled “Guessing Random Additive Noise Decoding (GRAND) or how to stop worrying about error-correcting code design.”
Abstract: To maintain data integrity in the face of network unreliability, systems rely on error-correcting codes. System standardization, such as has been occurring for 5G, is predicated on co-designing these error-correcting codes and, most importantly, their generally complex decoders, into efficient, dedicated and customized chips. In this talk, we show that this assumption is not necessary and is has been leading to significant performance loss. We describe “Guessing Random Additive Noise Decoding,” or GRAND, by Duffy, Médard and their research groups, which renders universal, optimal, code-agnostic decoding possible for low to moderate redundancy settings.
Moreover, recent work with Yazicigil and her group has demonstrated that such decoding can be implemented with extremely low latency in silicon. GRAND enables a new exploration of codes, in and of themselves, independently of tailored decoders, over a rich family of code designs, including random ones. Surprisingly, even the simplest code constructions, such as those used merely for error checking, match or markedly outperform state of the art codes when optimally decoded with GRAND. Without the need for highly tailored codes and bespoke decoders, we can envisage using GRAND to avoid the issue of limited and sub-optimal code choices that 5G encountered, and instead have an open platform for coding and decoding.
Date: 25-08-2022, Time: 11:30 am to 12:15 pm (IST, New Delhi, India) Zoom Registration Link: https://amityuni.live/82810564055