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Talk “Adaptive Recoding for Batched Network Coding”

On 5 July 2019 at 10 a.m., the following talk will be given in room no. 11.2.21:

 

Adaptive Recoding for Batched Network Coding

Abstract
Batched network coding is a variation of random linear network coding which has low computational and storage costs. In order to adapt random fluctuations in the number of erasures in individual batches, it is not optimal to recode and transmit the same number of packets for all batches. In this talk, we first give a brief introduction to batched network coding and adaptive recoding. Next, we present the adaptive recoding framework and its robust solution which can tolerate errors of the input knowledge due to inaccurate measurements or limited precision of the machine. Finally, we discuss an application of adaptive recoding in wireless relay network with overhearing.

Biography
Mr. Yin received his B.Sc. degree in Mathematics and B.Eng. degree in Information Engineering from The Chinese University of Hong Kong in 2013 and 2014 respectively. He joined the Institute of Network Coding (CUHK) as a research assistant during 2014-2015. He is now a Ph.D. student under the supervision of Prof. Raymond W. Yeung in the Department of Information Engineering at The Chinese University of Hong Kong. His research interests include batched network coding and network systems.