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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2017 / Cilt: 17 - Sayı: 2

Performance of Bit-Level Decoding Algorithms for Binary LTE Turbo Codes with Early Stopping

Yogesh BEEHARRY
Tulsi Pawan FOWDUR
Krishnaraj M. S. SOYJAUDAH
Pages
3399–3415
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results show that the different methods perform differently in the waterfall and error-floor regions with different modulation schemes.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Turbo codes apply an iterative message passing mechanism between two concatenated decoders.
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Key Findings & Data:Their astounding performance has led to their widespread adoption in several communication standards such as Long Term Evolution, and Code Division for Multiple Access 2000.
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Conclusion & Impact:Results show that the different methods perform differently in the waterfall and error-floor regions with different modulation schemes.
🔬Design:Research Article
📍Scope:2000 Verileri
⚙️Variables:Domain Parameters

Abstract

Turbo codes apply an iterative message passing mechanism between two concatenated decoders. Their astounding performance has led to their widespread adoption in several communication standards such as Long Term Evolution, and Code Division for Multiple Access 2000. This paper gives an overview of three bit-level decoding MaxLog-MAP algorithms with Sign Difference Ratio-based early stopping that can be used with Long Term Evolution Turbo Codes. A detailed computational complexity analysis is given for the three methods. It is observed that the complexity of the decoding methods decrease significantly as the Eb/N0 increases when Sign Difference Ratio is used. Moreover, the Bit Error Rate performance of the methods was also assessed and compared for different modulation schemes. Results show that the different methods perform differently in the waterfall and error-floor regions with different modulation schemes. Moreover, the computational complexity analysis show that Method 2 requires fewer overall number of computations compared to Methods 1 and 3.

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Cite This Article

BEEHARRY, Y., FOWDUR, T. P., SOYJAUDAH, K. M. S. (2022). Performance of Bit-Level Decoding Algorithms for Binary LTE Turbo Codes with Early Stopping. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 17 - Sayı: 2, 3399–3415. https://ajindex.com/articles/543588

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