Dynamic Injection and Permutation Coding for Enhanced Data Transmission

Kehinde Ogunyanda, Opeyemi O. Ogunyanda, Thokozani Shongwe

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a novel approach to enhance spectral efficiency in communication systems by dynamically adjusting the mapping between cyclic permutation coding (CPC) and its injected form. By monitoring channel conditions such as interference levels and impulsive noise strength, the system optimises the coding scheme to maximise data transmission reliability and efficiency. The CPC method employed in this work maps information bits onto non-binary symbols in a cyclic manner, aiming to improve the Hamming distance between mapped symbols. To address challenges such as low data rates inherent in permutation coding, injection techniques are introduced by removing (Formula presented.) column(s) from the CPC codebook. Comparative analyses demonstrate that the proposed dynamic adaptation scheme outperforms conventional permutation coding and injection schemes. Additionally, we present a generalised mathematical expression to describe the relationship between the spectral efficiencies of both coding schemes. This dynamic approach ensures efficient and reliable communication in environments with varying levels of interference and impulsive noise, highlighting its potential applicability to systems like power line communications.

Original languageEnglish
Article number685
JournalEntropy
Volume26
Issue number8
DOIs
Publication statusPublished - Aug 2024

Keywords

  • adaptive coding
  • coding with injections
  • permutation coding
  • power line communications
  • spectral efficiency

ASJC Scopus subject areas

  • Information Systems
  • Mathematical Physics
  • Physics and Astronomy (miscellaneous)
  • General Physics and Astronomy
  • Electrical and Electronic Engineering

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