IEEE/CIC International Conference on Communications in China
11–13 August 2022 // Foshan City, China

Wen Tong

Biography: Dr. Wen Tong is the CTO, Huawei Wireless. He is the head of Huawei wireless research. In 2011, Dr. Tong was appointed the Head of Communications Technologies Labs of Huawei, currently, he is the Huawei 5G chief scientist and led Huawei’s 10-year-long 5G wireless technologies research and development. Prior to joining Huawei in 2009, Dr. Tong was the Nortel Fellow and head of the Network Technology Labs at Nortel. He joined the Wireless Technology Labs at Bell Northern Research in 1995 in Canada. Dr. Tong is the industry recognized leader in invention of advanced wireless technologies, Dr. Tong was elected as a Huawei Fellow and an IEEE Fellow. He was the recipient of IEEE Communications Society Industry Innovation Award in 2014, and IEEE Communications Society Distinguished Industry Leader Award for “pioneering technical contributions and leadership in the mobile communications industry and innovation in 5G mobile communications technology” in 2018. He is also the recipient of R.A. Fessenden Medal. For the past three decades, he had pioneered fundamental technologies from 1G to 5G wireless and Wi-Fi with more than 510 awarded US patents. Dr. Tong is a Fellow of Canadian Academy of Engineering, and he serves as Board of Director of Wi-Fi Alliance.

Title: New Channel Coding for Extreme Data Rate Applications

Abstract: As wireless technology is evolving into supporting the extreme high data rate, as a result of the emerging service such as mobile metaverse and mobile hologram, we encounter the new requirement of channel coding, in this case, the conventional channel coding technologies, although can perform to approach the Shannon capacity limit, will not be practically feasible, with respect to the decoding complexity and power consumption. Therefore, the theme of this talk, is to study the new design of the channel coding, to support the extreme high data rate usages for 6G. We discuss the code construction and associated ultra-fast decoding algorithms with a very high energy efficiency. We investigate and compare the new channel schemes and silicon architecture that can reach the decoding power consumption at 1 pico-Joelle per bit or less.