Improving the Performance of Layered Iterative minsum Approximation Message Passing Decoding Algorithm for 5G NR LDPC Codes
In order to cater to the needs of the 5G standard, one of the prominent solutions in terms of high coding gain, high throughput and low power dissipation is the 5G NR LDPC (New Radio Low Density Parity Check) codes which have been adopted by 5G Standard. LDPC codes are the successful Third Generatio...
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| Published in: | Journal of physics. Conference series Vol. 1917; no. 1; pp. 12017 - 12025 |
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01.06.2021
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| Abstract | In order to cater to the needs of the 5G standard, one of the prominent solutions in terms of high coding gain, high throughput and low power dissipation is the 5G NR LDPC (New Radio Low Density Parity Check) codes which have been adopted by 5G Standard. LDPC codes are the successful Third Generation Forward Error Correcting codes. An Efficient decoder is the key to the success of any Error Correcting Code. LDPC codes are one whose parity check matrix have a very few non zero entries. 5G NR LDPC codes are constructed by Protographs or base graphs and are block structured. This paper improves the performance of Layered Iterative minsum Approximation Message Passing decoding Algorithm using Rate Matching, Fixed Point Quantization and Offset minsum techniques. Rate Matching is to maintain the exact number of encoded blocks with in the TTI. Simulation of this algorithm with BPSK encoding over AWGN channel shows that BER of 10
-3
gives E
b
/N
o
of~2 dB for the block length of 10
5
. |
|---|---|
| AbstractList | In order to cater to the needs of the 5G standard, one of the prominent solutions in terms of high coding gain, high throughput and low power dissipation is the 5G NR LDPC (New Radio Low Density Parity Check) codes which have been adopted by 5G Standard. LDPC codes are the successful Third Generation Forward Error Correcting codes. An Efficient decoder is the key to the success of any Error Correcting Code. LDPC codes are one whose parity check matrix have a very few non zero entries. 5G NR LDPC codes are constructed by Protographs or base graphs and are block structured. This paper improves the performance of Layered Iterative minsum Approximation Message Passing decoding Algorithm using Rate Matching, Fixed Point Quantization and Offset minsum techniques. Rate Matching is to maintain the exact number of encoded blocks with in the TTI. Simulation of this algorithm with BPSK encoding over AWGN channel shows that BER of 10-3 gives Eb/No of~2 dB for the block length of 105. In order to cater to the needs of the 5G standard, one of the prominent solutions in terms of high coding gain, high throughput and low power dissipation is the 5G NR LDPC (New Radio Low Density Parity Check) codes which have been adopted by 5G Standard. LDPC codes are the successful Third Generation Forward Error Correcting codes. An Efficient decoder is the key to the success of any Error Correcting Code. LDPC codes are one whose parity check matrix have a very few non zero entries. 5G NR LDPC codes are constructed by Protographs or base graphs and are block structured. This paper improves the performance of Layered Iterative minsum Approximation Message Passing decoding Algorithm using Rate Matching, Fixed Point Quantization and Offset minsum techniques. Rate Matching is to maintain the exact number of encoded blocks with in the TTI. Simulation of this algorithm with BPSK encoding over AWGN channel shows that BER of 10 -3 gives E b /N o of~2 dB for the block length of 10 5 . |
| Author | Vigneswari, P. Sivakumari, S. |
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| Cites_doi | 10.1109/26.768759 10.1109/49.661110 10.1109/TIT.1981.1056404 10.1049/el:19970362 10.1002/j.1538-7305.1948.tb00917.x 10.1109/TIT.1962.1057683 10.1002/j.1538-7305.1950.tb00463.x 10.1109/18.959255 10.1109/TIT.2004.831841 10.1109/26.990903 10.1109/ICIS.2013.6607890 |
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| References_xml | – volume: 47 start-page: 673 year: 1999 ident: JPCS_1917_1_012017bib11 article-title: Reduced complexity iterative decoding of low density parity check codes based on belief propagation publication-title: IEEE Transactions on Communications doi: 10.1109/26.768759 – ident: JPCS_1917_1_012017bib16 article-title: Multiplexing and channel coding – volume: 16 start-page: 219 year: 1998 ident: JPCS_1917_1_012017bib7 article-title: Iterative decoding of compound codes by probability propagation in graphical models publication-title: IEEE J. Select. Areas Communication doi: 10.1109/49.661110 – ident: JPCS_1917_1_012017bib18 – ident: JPCS_1917_1_012017bib19 – volume: IT-27 start-page: 533 year: 1981 ident: JPCS_1917_1_012017bib5 article-title: A recursive approach to low complexity codes publication-title: IEEE Transactions on Information Theory doi: 10.1109/TIT.1981.1056404 – year: 2010 ident: JPCS_1917_1_012017bib22 – volume: 33 start-page: 457 year: 1997 ident: JPCS_1917_1_012017bib4 article-title: Near Shannon limit performance of low density parity check codes publication-title: Electronic Letters doi: 10.1049/el:19970362 – year: 2011 ident: JPCS_1917_1_012017bib21 – ident: JPCS_1917_1_012017bib15 – year: 2017 ident: JPCS_1917_1_012017bib12 – start-page: 764 year: 2021 ident: JPCS_1917_1_012017bib13 – ident: JPCS_1917_1_012017bib14 – year: 2019 ident: JPCS_1917_1_012017bib20 – volume: 15 year: 2018 ident: JPCS_1917_1_012017bib17 article-title: Physical Layer Procedures for data publication-title: Release – volume: 27 start-page: 623 year: 1948 ident: JPCS_1917_1_012017bib1 article-title: A mathematical theory of communication publication-title: Bell SYstem Tech. J. doi: 10.1002/j.1538-7305.1948.tb00917.x – volume: 8 start-page: 21 year: 1962 ident: JPCS_1917_1_012017bib3 article-title: Low-density parity check codes publication-title: IRE Transactions on information Theory doi: 10.1109/TIT.1962.1057683 – volume: 29 start-page: 147 year: 1950 ident: JPCS_1917_1_012017bib2 article-title: Error detecting and error correcting codes publication-title: Bell Syst. Tech. J. doi: 10.1002/j.1538-7305.1950.tb00463.x – volume: 47 start-page: 2711 year: 2001 ident: JPCS_1917_1_012017bib8 article-title: Low-density parity check codes based on finite geometries: a rediscovery and more publication-title: IEEE Transactions on Information Theory doi: 10.1109/18.959255 – volume: 50 start-page: 1788 year: 2004 ident: JPCS_1917_1_012017bib6 article-title: Quasi-cyclic low - density parity check codes from circulant permutation matrices publication-title: IEEE Transactions on Information Theory doi: 10.1109/TIT.2004.831841 – volume: 50 start-page: 406 year: 2002 ident: JPCS_1917_1_012017bib9 article-title: Near optimum universal belief propagation based decoding of low density parity check codes publication-title: IEEE Transactions on Communications doi: 10.1109/26.990903 – start-page: 509 year: 2013 ident: JPCS_1917_1_012017bib10 doi: 10.1109/ICIS.2013.6607890 |
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| SubjectTerms | Algorithms Approximation Binary system Codes Decoding Error correcting codes Error correction Error correction & detection Low density parity check codes Matching Mathematical analysis Message passing Parity Performance enhancement Physics |
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| Title | Improving the Performance of Layered Iterative minsum Approximation Message Passing Decoding Algorithm for 5G NR LDPC Codes |
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