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An EPIC Leap: Revolutionizing Channel Coding to Support 6G Communications

An EPIC Leap: Revolutionizing Channel Coding to Support 6G Communications

Terahertz (THz) bands, including 100 GHz and above spectrum bands, are vital to support 6G’s higher data rates and the recently- completed EPIC project made groundbreaking leaps in establishing the backbone for future communication systems.

The Enabling Practical Wireless Tb/s Communications with Next Generation Channel Coding (EPIC) project has successfully demonstrated high-throughput wireless baseband encoder and decoder technology topping 200 Gbps data rates with real-time FPGA demonstrator and 1 Tbps with ASIC designs, showcasing the significant progress made in delivering THz communications. Comprised of eight partners, this Horizon 2020 project specifically tackled the development of forward-error-correction (FEC) algorithms – critical but computationally complex blocks in the baseband chain – which detect and correct errors in transmitted data to improve throughput rates when encoding and decoding data.

Join a selection of EPIC project leaders on Wednesday, April 28th as they detail the importance of FEC algorithms for future Terahertz communication and engage in discussion around the implementation challenges and eventual use cases enabled by this project.

SPEAKERS & MODERATOR

Onur Sahin

Onur Sahin

Member Of Technical Staff / Senior Manager at InterDigital Read Bio
Onur Sahin

Onur Sahin

Member Of Technical Staff / Senior Manager at InterDigital

Dr. Onur Sahin received his B.S. degree in electrical and electronics engineering from Middle East Technical University, Ankara, Turkey, in 2003 and Ph.D. degree in electrical engineering from New York University, USA in 2009. He is currently a Member of Technical Staff at Innovation Labs, InterDigital Europe. His primary research and development interests are on the next generation telecommunication and wireless systems, with current emphasis on beyond 5G technologies. Dr. Sahin has held technical lead positions at multiple projects on next generation cellular and Wi-Fi systems including 5G NR, LTE-A and IEEE 802.11 standards. Dr. Sahin is the co-author of over 40 peer-reviewed scientific articles (h-index: 22) and co-inventor of above 30 patents and patent applications. He is co-recipient of the 2018 IEEE Signal Processing Society Best Paper Award, 2016 Journal of Communication Networks Best Paper Award, and InterDigital Innovation Awards in 2012 and 2015.

Erdal Arıkan

Erdal Arıkan

Professor, Bilkent University/Founder, Polaran Inc. Read Bio
Erdal Arıkan

Erdal Arıkan

Professor, Bilkent University/Founder, Polaran Inc.

Erdal Arıkan has been a member of the facuty at the Electrical-Electronics Engineering Department, Bilkent University, Ankara, Turkey since 1987. He received his Ph.D. degree from the Massachusetts Institute of Technology, Cambridge, MA, in 1985. His main research interests are in error correction coding. For his work on polar coding, he was awarded the 2010 IEEE Information Theory Society Best Paper Award, the 2013 IEEE W. R. G. Baker Award, the 2018 IEEE Hamming Medal, and the 2019 Shannon Speaker award. He is an IEEE Fellow and a member of the Turkish Academy of Sciences.

Stefan Weithoffer

Stefan Weithoffer

Associate Professor, IMT Atlantique Read Bio
Stefan Weithoffer

Stefan Weithoffer

Associate Professor, IMT Atlantique

Dr. Stefan Weithoffer received his Ph.D. in 2018 from the University of Kaiserslautern, Germany, where he worked with his doctoral advisor Prof. Norbert Wehn on implementation issues of high-throughput Turbo decoding and designed several TurboDecoder IP in the course of collaborations with academia as well as industry. Several of his designs have been successfully integrated and manufactured in Systems-on-Chip (SoC) on 28nm. Since September 2019, he is an associate professor with the department MEE at IMT Atlantique.

In 2020, he received a prestigious JCJC grant from the french ANR agency for his project TurboLEAP, which started in March 2021.

His research focus is centered around the joint consideration of algorithms and hardware implementation targeting area- and energy-efficient ASIC solutions for baseband signal processing.

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