Channel Coding for 6 G Extreme Connectivity - Requirements, Capabilities and Fundamental Tradeoffs

Huazi Zhang, Wen Tong
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Abstract

Information theory has driven the information and communication technology (ICT) industry for over seventy years. Great successes have been achieved in both academia and industry. In theory, polar codes and spatially-coupled LDPC codes have achieved the theoretical bound. In practice, capacity-approaching coding schemes such as turbo, polar and LDPC codes are adopted by global wireless standards and implemented with reasonable complexity. However, this by no means suggests a halt in future information theoretic research. For channel coding, coding gain has been the main key performance indicator (KPI). From the practical viewpoint, there is a long list of unfulfilled target KPIs that deserves rigorous and deeper understanding. The inability to fulfil these target KPIs will become the major limitations of future communication systems such as 6 G and beyond. Moreover, a diverse set of new 6 G services will require new capabilities beyond data transmissions. New opportunities will be created for information theory and channel coding. Above all, we hope that the readers of this survey find the discussion of motivational background and preliminary results from an industry perspective helpful.
6g极端连接的信道编码——需求、能力和基本权衡
70多年来,信息理论一直推动着信息通信技术(ICT)产业的发展。学术界和工业界都取得了巨大的成功。理论上,极性码和空间耦合LDPC码都达到了理论边界。在实际应用中,全球无线标准采用了turbo码、极码和LDPC码等容量逼近编码方案,并以合理的复杂度实现。然而,这并不意味着未来信息论研究的停顿。对于信道编码,编码增益一直是主要的关键性能指标(KPI)。从实践的角度来看,有一长串未完成的目标kpi,值得严格和深入地理解。无法实现这些目标kpi将成为未来通信系统(如6g及以后)的主要限制。此外,多样化的新6g服务将需要数据传输之外的新功能。这将为信息论和信道编码创造新的机遇。最重要的是,我们希望本次调查的读者从行业角度对动机背景和初步结果的讨论有所帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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