TY - GEN
T1 - FPGA Implementation of 5G NR QC-LDPC Codes
AU - Varghese, Susan G.
AU - Kumar, Rishika Prabeed
AU - Hamidi, Inshal
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105034360381
UR - https://www.scopus.com/pages/publications/105034360381#tab=citedBy
U2 - 10.1109/INSPECT67393.2025.11350474
DO - 10.1109/INSPECT67393.2025.11350474
M3 - Conference contribution
AN - SCOPUS:105034360381
T3 - 2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2025
BT - 2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2025
Y2 - 7 November 2025 through 8 November 2025
ER -