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CSOC 2019: Cybernetics and Automation Control Theory Methods in Intelligent Algorithms pp 147–155Cite as

The Optimisation of LDPC Decoding Algorithm Parameters for 5G Access Network Empirical Models

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 986)

Abstract

This article is focused on the optimisation of LDPC codes in order to achieve high efficiency in encoding and decoding messages that also respect Transmission Channel Properties: this issue is related to the frequency band of the assumed transmission, and on models of - faults that affect individual symbols - or groups of symbols, according to their Transmission Environment Properties.

Keywords

  • Shannon inequality
  • Regular and irregular LDPC codes
  • Tanner Graph
  • MAP
  • LLR
  • Differential Evolution
  • Approximation of tanhx
  • FPGA + ARM
  • SoC
  • SystemC

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Author information

Authors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlín, Czech Republic

    Tomas Knot & Karel Vlcek

Authors
  1. Tomas Knot
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  2. Karel Vlcek
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Corresponding author

Correspondence to Tomas Knot .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Knot, T., Vlcek, K. (2019). The Optimisation of LDPC Decoding Algorithm Parameters for 5G Access Network Empirical Models. In: Silhavy, R. (eds) Cybernetics and Automation Control Theory Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 986. Springer, Cham. https://doi.org/10.1007/978-3-030-19813-8_16

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