An FPGA Design with High Memory Efficiency and Decoding Performance for 5G LDPC Decoder

A hardware-efficient implementation of a Low-Density Parity-Check (LDPC) decoder is presented in this paper. The proposed decoder design is based on the Hybrid Offset Min-Sum (HOMS) algorithm. In the check node processing of this decoder, only the first minimum is computed instead of the first two m...

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Veröffentlicht in:Electronics (Basel) Jg. 12; H. 17; S. 3667
Hauptverfasser: Tran-Thi, Bich Ngoc, Nguyen-Ly, Thien Truong, Hoang, Trang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.09.2023
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Abstract A hardware-efficient implementation of a Low-Density Parity-Check (LDPC) decoder is presented in this paper. The proposed decoder design is based on the Hybrid Offset Min-Sum (HOMS) algorithm. In the check node processing of this decoder, only the first minimum is computed instead of the first two minimum values among all the variable-to-check message inputs as in the conventional approach. Additionally, taking advantage of the unique structure of 5G LDPC codes, layered scheduling and partially parallel structures are employed to minimize hardware costs. Implementation results on the Xilinx Kintex UltraScale+ FPGA platform show that the proposed decoder can achieve a throughput of 2.82 Gbps for 10 decoding iterations with a 5G LDPC codelength of 8832 bits and a code rate of 1/2. Moreover, it yields a check node memory reduction of 10% with respect to the baseline and provides a hardware usage efficiency of 4.96 hardware resources/layer/Mbps, while providing a decoding performance of 0.15 dB better than some of the existing decoders.
AbstractList A hardware-efficient implementation of a Low-Density Parity-Check (LDPC) decoder is presented in this paper. The proposed decoder design is based on the Hybrid Offset Min-Sum (HOMS) algorithm. In the check node processing of this decoder, only the first minimum is computed instead of the first two minimum values among all the variable-to-check message inputs as in the conventional approach. Additionally, taking advantage of the unique structure of 5G LDPC codes, layered scheduling and partially parallel structures are employed to minimize hardware costs. Implementation results on the Xilinx Kintex UltraScale+ FPGA platform show that the proposed decoder can achieve a throughput of 2.82 Gbps for 10 decoding iterations with a 5G LDPC codelength of 8832 bits and a code rate of 1/2. Moreover, it yields a check node memory reduction of 10% with respect to the baseline and provides a hardware usage efficiency of 4.96 hardware resources/layer/Mbps, while providing a decoding performance of 0.15 dB better than some of the existing decoders.
Audience Academic
Author Tran-Thi, Bich Ngoc
Nguyen-Ly, Thien Truong
Hoang, Trang
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Snippet A hardware-efficient implementation of a Low-Density Parity-Check (LDPC) decoder is presented in this paper. The proposed decoder design is based on the Hybrid...
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StartPage 3667
SubjectTerms Algorithms
Architecture
Circuit design
Codes
Coding theory
Decoders
Decoding
Design
Design and construction
Digital integrated circuits
Efficiency
Error correcting codes
Error correction & detection
Field programmable gate arrays
Hardware
Low density parity check codes
Methods
Parity
Random variables
Scheduling
Title An FPGA Design with High Memory Efficiency and Decoding Performance for 5G LDPC Decoder
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