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Optimized Design of Distributed Quasi-Cyclic LDPC Coded Spatial Modulation.

Chunli Zhao1, Fengfan Yang1, Daniel Kariuki Waweru1

  • 1College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

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|April 13, 2023
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Summary
This summary is machine-generated.

We introduce a distributed quasi-cyclic low-density parity-check (QC-LDPC) coded spatial modulation (D-QC-LDPCC-SM) scheme. This advanced system optimizes information bit selection for improved performance over existing methods.

Keywords:
coded cooperationquasi-cyclic low-density parity-check codesspatial modulation

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Area of Science:

  • Wireless Communications
  • Information Theory
  • Coding Theory

Background:

  • Spatial modulation (SM) enhances wireless communication spectral efficiency.
  • Cooperative communication systems improve reliability and coverage.
  • Low-density parity-check (LDPC) codes offer powerful error correction capabilities.

Purpose of the Study:

  • To propose a novel distributed QC-LDPC coded spatial modulation (D-QC-LDPCC-SM) scheme.
  • To develop efficient algorithms for information bit selection at the relay node.
  • To enhance cooperative spatial modulation by optimizing encoding strategies.

Main Methods:

  • Utilizing two distinct QC-LDPC codes at source and relay nodes.
  • Implementing an optimal information bit selection algorithm via exhaustive search.
  • Developing a low-complexity partial search algorithm for information bit selection.
  • Proposing a three-layer Tanner graph for iterative joint decoding at the destination.

Main Results:

  • The exhaustive-based search algorithm improves performance by 1 dB over random selection.
  • The low-complexity partial search algorithm yields a 1.2 dB gain over random selection.
  • The proposed D-QC-LDPCC-SM scheme outperforms the polar-coded cooperative SM (PCC-SM) by 3.1 dB.
  • Simulations validate the effectiveness of the developed algorithms and the overall scheme.

Conclusions:

  • The D-QC-LDPCC-SM scheme with optimized information bit selection offers significant performance gains.
  • The proposed low-complexity algorithm provides a practical approach for implementing advanced coding schemes.
  • This work advances cooperative spatial modulation techniques through optimized distributed coding.