The Design of the MaximumLikelihood Decoding Algorithm of LDPC Codes over BEC - PowerPoint PPT Presentation

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The Design of the MaximumLikelihood Decoding Algorithm of LDPC Codes over BEC

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Computational Complexities. Simulation Results. Conclusion ... 4. Computational Complexity. Number of symbol additions by the post-decoding ... – PowerPoint PPT presentation

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Title: The Design of the MaximumLikelihood Decoding Algorithm of LDPC Codes over BEC


1
The Design of the Maximum-Likelihood Decoding
Algorithm of LDPC Codes over BEC
  • KiMoon Lee, Hayder Radha

2
Contents
  • Decoding of LDPC Codes over BEC
  • The Maximum-Likelihood Decoding Algorithms (MLDA)
  • Separated MLDA
  • Computational Complexities
  • Simulation Results
  • Conclusion

3
1. Linear Systems and Decoding of LDPC Codes over
BEC
4
2. Maximum-Likelihood Decoding Algorithms
The original MLDA by Burshtein and Miller
  • Equivalent to Gaussian Elimination (GE) on M
  • Natural Extension of the Message Passing
    Algorithm (MPA)

5
2. Maximum-Likelihood Decoding Algorithms
6
2. Maximum-Likelihood Decoding Algorithms
7
2. Maximum-Likelihood Decoding Algorithms
Advantages
8
2. Maximum-Likelihood Decoding Algorithms
Disadvantages??
9
3. Separated MLDA
10
3. Separated MLDA
11
4. Computational Complexity
12
5. Simulation Results
13
5. Simulation Results
2. The MPA vs the MLDA in Performances
  • derr percentage of decoding failures in 100
    trials
  • Red performances by the MPA
  • Blue performances by the MLDA
  • By the MLDA, for all (n, plt0.492),
  • derr 0.
  • By the MPA, for all (n, pgt0.45),
  • derr gt 0.

14
5. Simulation Results
3. Number of Symbol Additions by the Post-Decoding
  • By the separated MLDA, for any (n,p) , ns lt 20
  • By the original MLDA, ns increases rapidly as p
    -gt 0.5
  • The ns by the original MLDA is dominated by the
    ns from the FFS as p -gt 0.5

Note The ns from the GE is not considere??
15
5. Simulation Results
4. Number of References by the MLDA
  • rf ( of references) /n.
  • For any (n,p),
  • rf lt 0.032, or r lt (0.032)n.

16
5. Simulation Results
5. Rank Deficient Case Number of Free Variables
  • For any (n,p),
  • Nf lt 43.
  • 2. X can be recovered by retransmission of less
    than 43 symbols of free variables.
  • 3. This feature is not possible by the MPA alone.

17
5. Simulation Results
6. An Exemplary Application from Simulation
Results.
18
5. Simulation Results
6. continued.
19
Conclusion
  • The MPA is (Not) optimal for short block lengths
    ??
  • The MLDA is very efficient compared to the
    conventional GE.
  • The performance of codes by the MLDA is close to
    m/n.
  • The GE may not be a major drawback to the
    efficiency of the MLDA??

20
Thank You
  • Questions?
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