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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM39486

Optimized 32-Bit Multirate Fully Parallel LDPC Encoder for Advanced Applications

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM39486

Volume:

8 |

12 |

Dec 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM39486

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KM

Kishan M

KBA

Kruthika B A

MSR

Mythreye S R

ARP

Abhishek R Palanker

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Abstract

This paper presents a 32-bit multirate fully parallel Low-Density Parity-Check (LDPC) encoder tailored for advanced communication systems. The proposed design focuses on optimizing the architecture to achieve high throughput, low latency, and efficient resource utilization. By incorporating an enhanced parallel processing framework, the encoder supports multiple rates while maintaining robust error-correction capabilities. Its scalable structure and efficient implementation make it suitable for high-performance applications, including modern wireless communication standards. Simulation results validate the encoder’s efficiency, demonstrating superior performance compared to traditional methods. Low-Density Parity-Check (LDPC) codes are pivotal in modern communication systems due to their exceptional error-correcting capabilities. This paper presents an optimized 32-bit fully parallel LDPC encoder designed for multirate applications. The architecture efficiently supports multiple code rates and achieves high throughput while minimizing resource utilization. By leveraging parallelism and advanced optimization techniques, the proposed encoder ensures scalability for advanced applications, including high-speed data transmission and next-generation communication systems. Detailed performance evaluations demonstrate significant improvements in encoding speed and energy efficiency, making it an ideal candidate for integration into resource-constrained environments. . The design focuses on addressing key challenges, such as dynamic reconfiguration for multirate operations and balancing performance with hardware efficiency. The encoder’s adaptability to varying code rates enhances its flexibility, making it suitable for a wide range of standards and technologies. Experimental evaluations demonstrate that the encoder achieves significant improvements in speed, power efficiency, and resource usage compared to conventional designs. These features make the proposed encoder a robust and reliable solution for future-proof communication infrastructures, ensuring seamless data transmission in diverse and demanding environments. To validate the effectiveness of the proposed design, extensive simulations and hardware implementations were carried out. Results show that the encoder outperforms existing designs in terms of throughput, power efficiency, and resource usage, offering a practical solution for high-speed data transmission applications. Additionally, the encoder’s adaptability makes it well-suited for multirate operations in environments with fluctuating data demands, such as wireless networks, satellite systems, and autonomous communication technologies. By addressing the challenges of resource limitations and providing high-speed error correction, the proposed encoder contributes to the ongoing evolution of communication systems. As the demand for faster, more efficient data transmission continues to grow, this work provides a foundation for the development of scalable, energy-efficient LDPC encoders that can meet the needs of next-generation communication technologies.

KEYWORDS

Low latency High-throughput error correction efficient resource utilization and wireless communication code rates.

Cite This Article

Kishan M, Kruthika B A, Mythreye S R, Abhishek R Palanker, "Optimized 32-Bit Multirate Fully Parallel LDPC Encoder for Advanced Applications," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 12, Dec 2024. https://doi.org/10.55041/IJSREM39486

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5/11/2024

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Double-Blind Peer Review

Review Rounds: 2

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