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Distributed Joint Source-Channel Coding Using Quasi-Uniform Systematic Polar Codes.

Liqiang Jin1, Hongwen Yang1

  • 1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Entropy (Basel, Switzerland)
|December 3, 2020
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Summary
This summary is machine-generated.

This study introduces a distributed joint source-channel coding (DJSCC) scheme using polar-like codes. The novel approach enhances data compression and error protection, outperforming existing methods in simulations.

Keywords:
correlated sourcesdistributed joint source-channel codingnoisy independent channelsquasi-uniform systematic polar codes

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Area of Science:

  • Information Theory
  • Coding Theory
  • Wireless Communications

Background:

  • Distributed source and channel coding are crucial for efficient and reliable data transmission over independent channels.
  • Existing methods like distributed separate source-channel coding (DSSCC) and traditional DJSCC face limitations in performance.
  • Polar codes have shown promise in achieving channel capacity, but their application in distributed joint source-channel coding requires further investigation.

Purpose of the Study:

  • To propose a novel distributed joint source-channel coding (DJSCC) scheme utilizing polar-like codes.
  • To demonstrate the effectiveness of the proposed scheme in achieving both source compression and error protection simultaneously.
  • To analyze the performance of the proposed scheme in both infinite and finite code-length scenarios and compare it with existing methods.

Main Methods:

  • The proposed scheme employs quasi-uniform systematic polar codes (QSPC) or punctured QSPC for distributed source encoding.
  • Each source transmits only parity bits over its independent channel, integrating source compression and error protection.
  • Theoretical analysis using joint source-channel polarization with side information is performed for infinite code-length.
  • Extensive simulations are conducted to evaluate performance for finite code-length.

Main Results:

  • The proposed DJSCC scheme with polar-like codes approaches the information-theoretical limit for infinite code-length.
  • Simulation results demonstrate superior performance compared to DSSCC schemes using polar codes.
  • The proposed scheme significantly outperforms DJSCC schemes based on classic systematic polar codes in finite code-length scenarios.

Conclusions:

  • The developed distributed joint source-channel coding scheme using polar-like codes offers a significant advancement in data transmission efficiency and reliability.
  • The integration of source compression and error protection through systematic polar codes proves highly effective.
  • The proposed scheme represents a promising direction for future research in distributed communication systems.