报告题目：极化码在5G NR与未来通信系统中的应用
报告时间：2019年4月23日上午10：30
报告地点：校本部计算机楼308会议室
报告人：戴金晟博士
摘要：Arikan于2009年提出的极化码是近年来信道编码理论方面最重大的突破，为编码设计提供了全新的思路。极化码可用构造性的方法证明信道容量渐进可达，是目前已知的唯一一种信道容量可达的编码方式。采用串行抵消列表译码算法的极化码可以展现出比Turbo码与LDPC码更优异的性能，因此在2016年，极化码被接纳为5G eMBB场景下控制信道的编码方案。本次报告在简要介绍极化码与信道极化的基本原理之后，将会重点介绍5G极化编码背后的核心技术，以及我们课题组在其中的贡献。接下来，我们将极化码的设计思想推广到通信信号的极化传输，称为广义极化变换。本次报告将介绍如何以广义极化变换为指导理论，构建多流极化信号传输的理论框架和技术方案，并推动这个新方向在未来通信系统(如B5G、6G等)中的应用研究。最后，本次报告将对信道编码与无线信号处理未来的发展方向做出预测与展望。
Report title: Polar Coding for 5G NR and Future Communication Systems
Report time: 10:30 am, April 23, 2019
Location: conference room 308, computer building, the campus
By: Jincheng Dai doctor
Abstract: The discovery of the channel polarization phenomenon made by Arikan in 2009 has introduced a new paradigm in channel coding. Polar codes allow a transmission approaching Shannon's bound for large block sizes and are the first capacity-achieving codes that can be successively decoded. Successive cancellation list decoding of Polar codes exhibits good performance compared to turbo codes and LDPC codes under iterative decoding. Initially seen as a research topic, Polar codes broke out of academia into the communication industry, to such an extent that, along with LDPC codes, in late 2016 they were accepted within the 5G standardization for the eMBB channel. This tutorial, after a brief revision on the theoretic principles of channel polarization, will provide a practical approach of the design and decoding of polar codes, paving the way for the comprehension of the ideas behind the 5G polar coding technique. After that, this tutorial will extend the design idea of binary polar coding to the polarization transmission of communication signal, and we call this as "generalized polarization transform". We establish the theoretical framework of multi-stream signal polarization transmission based on the generalized polarization transform. By this way, it promotes this new research direction for future communication systems, e.g. B5G, 6G, etc. Finally, this tutorial will give some forward looking ideas about channel coding and wireless signal processing.
