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Next-Generation Channel Coding Towards Terabit/S Wireless Communications

Authors: Wehn, Norbert; Sahin, Onur;

Next-Generation Channel Coding Towards Terabit/S Wireless Communications

Abstract

The continuous demands on increased spectral efficiency, higher throughput, lower latency and lower energy in communication systems impose large challenges on the baseband processing in wireless communication. This applies in particular to channel coding (Forward Error Correction) that is a core technology component in any digital baseband. Future Beyond- 5G use cases are expected to require wireless data rates in the Terabit/s range in a power envelope in the order of 1-10 Watts. In the past, progress in microelectronic silicon technology driven by Moore’s law was an enabler of large leaps in throughput, lower latency, lower power etc. However, we have reached a point where microelectronics can no more keep pace with the increased requirements from communication systems. In addition, advanced technology nodes imply new challenges such as reliability, power density, cost etc. Thus, channel coding for Beyond-5G systems requires a real cross layer approach, covering information theory, algorithm development, parallel hardware architectures and semiconductor technology. The EPIC project addresses these challenges and aims to develop new Forward Error Correction (FEC) schemes for future Beyond-5G use cases targeting a throughput in the Tb/s range. Focus will be on the most advanced FEC schemes, i.e. Turbo codes, Low Density Parity Check (LDPC) codes and Polar codes

Keywords

Terabit/s throughput, Forward Error Correction, Beyond-5G systems

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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