LDPC Coded Compressive Sensing for Joint Source-Channel Coding in Wireless Sensor Networks

Jue Chen, Shuai Shao, Tsang Yi Wang, Jwo Yuh Wu, Chih Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo

Research output: Contribution to journalArticlepeer-review

Abstract

The novel concept of joint Compressive Sensing (CS) and Low Density Parity Check (LDPC) coding is conceived for Joint Source-Channel Coding (JSCC) in Wireless Sensor Networks (WSNs) supporting a massive number of signals. More explicitly, we demonstrate this concept for a specific scheme, which supports a massive number of signals simultaneously, using a small number of Internet of Things Nodes (IoTNs) based on the concept of CS. The compressed signals are LDPC coded in order to protect them from poor transmission channels. We also propose the new iterative joint source-channel decoding philosophy for exchanging soft <italic>extrinsic</italic> information, which combines CS decoding and LDPC decoding by merging their respective factor graphs. We then characterize this scheme using Extrinsic Information Transfer (EXIT) chart analysis. Our BLock Error Rate (BLER) results show that the proposed iterative joint LDPC-CS decoding scheme attains about 1.5&#x00A0;dB gain at a BLER of <inline-formula><tex-math notation="LaTeX">$10^{-3}$</tex-math></inline-formula> compared to a benchmarker, which employs separate CS and LDPC decoding. Naturally, this gain is achieved at the cost of approximately doubling the complexity of the proposed iterative joint LDPC-CS decoding scheme.

Original languageEnglish
Pages (from-to)1-16
Number of pages16
JournalIEEE Transactions on Vehicular Technology
DOIs
StateAccepted/In press - 2022

Keywords

  • <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">extrinsic</italic> information transfer charts
  • Channel coding
  • Complexity theory
  • compressive sensing
  • Decoding
  • factor graphs
  • Iterative decoding
  • Iterative methods
  • Joint source-channel coding
  • LDPC codes
  • Sensors
  • Wireless sensor networks
  • wireless sensor networks

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