Next Article in Journal
The Role of Data in Model Building and Prediction: A Survey Through Examples
Next Article in Special Issue
Robust Signaling for Bursty Interference
Previous Article in Journal
Stock Net Entropy: Evidence from the Chinese Growth Enterprise Market
Previous Article in Special Issue
Multilevel Diversity Coding with Secure Regeneration: Separate Coding Achieves the MBR Point
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle

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

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(10), 806; https://doi.org/10.3390/e20100806
Received: 25 September 2018 / Revised: 11 October 2018 / Accepted: 20 October 2018 / Published: 22 October 2018
(This article belongs to the Special Issue Multiuser Information Theory II)
  |  
PDF [1307 KB, uploaded 22 October 2018]
  |  

Abstract

This paper proposes a distributed joint source-channel coding (DJSCC) scheme using polar-like codes. In the proposed scheme, each distributed source encodes source message with a quasi-uniform systematic polar code (QSPC) or a punctured QSPC, and only transmits parity bits over its independent channel. These systematic codes play the role of both source compression and error protection. For the infinite code-length, we show that the proposed scheme approaches the information-theoretical limit by the technique of joint source-channel polarization with side information. For the finite code-length, the simulation results verify that the proposed scheme outperforms the distributed separate source-channel coding (DSSCC) scheme using polar codes and the DJSCC scheme using classic systematic polar codes. View Full-Text
Keywords: correlated sources; noisy independent channels; distributed joint source-channel coding; quasi-uniform systematic polar codes correlated sources; noisy independent channels; distributed joint source-channel coding; quasi-uniform systematic polar codes
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Jin, L.; Yang, H. Distributed Joint Source-Channel Coding Using Quasi-Uniform Systematic Polar Codes. Entropy 2018, 20, 806.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top