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Index Coded Automatic Repeat Request (ARQ).

Sang Won Choi1

  • 1Train Control & Communication Research Team, Korea Railroad Research Institute (KRRI), Uiwang-si 16105, Korea.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces index-coded Automatic Repeat Request (ARQ) to improve transmission efficiency and reduce memory overhead in wireless networks. The proposed scheme offers a near-optimal trade-off between these key performance metrics.

Keywords:
Automatic Repeat Request (ARQ)index codingrandom linear network coding

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Area of Science:

  • Information Theory
  • Wireless Communications
  • Network Coding

Background:

  • Traditional Automatic Repeat Request (ARQ) schemes face limitations in transmission efficiency and memory usage.
  • Random linear network coding, while optimal, suffers from high computational complexity.
  • A need exists for efficient broadcasting schemes balancing performance and resource utilization.

Purpose of the Study:

  • To propose and analyze an index-coded Automatic Repeat Request (ARQ) scheme.
  • To enhance transmission efficiency and reduce memory overhead compared to existing methods.
  • To investigate the trade-offs between these performance metrics.

Main Methods:

  • Developed a near-to-optimal broadcasting scheme utilizing index coding.
  • Focused on the dominant packet error pattern across receivers.
  • Employed coded side information from successfully decoded packets.

Main Results:

  • The proposed index-coded ARQ scheme achieves asymptotically optimal transmission efficiency.
  • Memory overhead is shown to be asymptotically close to conventional ARQ schemes.
  • Demonstrated a reasonable trade-off between transmission efficiency and memory cache size.

Conclusions:

  • Index-coded ARQ provides a practical and efficient solution for wireless broadcasting.
  • The scheme effectively mitigates the computational complexity of random linear network coding.
  • Numerical results validate the superior performance in terms of memory and efficiency.