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FPGA Implementation of 5G NR QC-LDPC Codes

  • Susan G. Varghese*
  • , Rishika Prabeed Kumar
  • , Inshal Hamidi
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The rapid development of 5 G communications technology has triggered higher demands for efficient error correction techniques to meet the needs of ultra-reliable, low-latency, and high-throughput data transmission. Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) codes have been chosen as the 5 G New Radio (NR) standard because they can overcome conventional error correction techniques. These codes are crucial to enable enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communication (URLLC) applications by providing strong data integrity with low processing requirements. Nevertheless, hardware implementation of QC-LDPC encoding is extremely challenging because of its high computational complexity and need for adaptability to enable a wide range of code rates and block sizes. This paper is focused on designing and implementing a low-latency, high-throughput QC-LDPC encoder based on FPGA technology that overcomes these issues through optimized algorithms and architectural advancements. The approach encompasses the study of 5 G NR encoding needs, the development of an extremely parallel QC-LDPC encoding algorithm, and implementation on a programmable hardware platform. The encoder features pipeline optimization and parallel cyclic shift networks for enhancing efficiency. The design is synthesized in Verilog HDL and implemented on Nexys 4 DDR FPGA board to support various base graph configurations and lift sizes needed by 5G NR requirements. FPGA testing shows significant improvements in encoding latency, throughput, and resource utilization. With the realization of a fully functional and adaptive encoding chain, this research offers a high-performance and scalable solution for 5G applications and facilitates the development of next-generation wireless communication systems.

Original languageEnglish
Title of host publication2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331553494
DOIs
Publication statusPublished - 2025
Event2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2025 - Gwalior, India
Duration: 07-11-202508-11-2025

Publication series

Name2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2025

Conference

Conference2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2025
Country/TerritoryIndia
CityGwalior
Period07-11-2508-11-25

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Instrumentation

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