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High-Throughput Polar Code Decoders with Information Bottleneck Quantization.

Claus Kestel1, Lucas Johannsen1, Norbert Wehn1

  • 1Microelectronic Systems Design Research Group, RPTU Kaiserslautern-Landau, 67663 Kaiserslautern, Germany.

Entropy (Basel, Switzerland)
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Summary
This summary is machine-generated.

Efficient forward error correction (FEC) decoder implementation is key for mobile broadband. This study uses Information Bottleneck (IB) based quantization to optimize polar code decoders, achieving significant area and energy gains.

Keywords:
12 nmASICforward error correctionimplementationinformation bottleneckpolar code

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Area of Science:

  • Digital communications
  • Error correction coding
  • VLSI design

Background:

  • Forward Error Correction (FEC) units are computationally intensive in digital baseband processing.
  • Efficient FEC decoder implementation is critical for next-generation mobile broadband standards.
  • Quantization significantly impacts decoder area, power consumption, and throughput, with lower bit widths degrading error correction capability.

Purpose of the Study:

  • To propose a non-uniform quantization method based on the Information Bottleneck (IB) for efficient polar code decoder implementations.
  • To address the trade-off between low bit width for efficiency and maintaining essential information for error correction.
  • To present optimized Fast Simplified Successive-Cancellation (Fast-SSC) polar code decoder implementations using IB-based quantization.

Main Methods:

  • Utilized the Information Bottleneck (IB) method for non-uniform quantization.
  • Developed optimized Fast Simplified Successive-Cancellation (Fast-SSC) polar code decoder implementations.
  • Performed placement and routing using advanced 12 nm FinFET technology for synthesis and energy estimation.

Main Results:

  • Achieved area gains of up to 16% using IB-based quantization.
  • Demonstrated energy efficiency improvements of up to 13% with IB-based quantization.
  • Results were validated at a Frame Error Rate (FER) of 10-7 for a polar code of N=1024, R=0.5.

Conclusions:

  • IB-based quantization offers significant advantages for implementing Fast-SSC polar code decoders.
  • The proposed method enables reduced area and improved energy efficiency without compromising error correction performance.
  • This approach is crucial for advancing mobile broadband standards requiring efficient digital baseband processing.