DocumentCode
511792
Title
A general decoding framework for high-rate LDPC codes
Author
Hosseiniy, S. M Ehsan ; Goh, Wang Ling ; Chan, Kheong Sann
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2009
fDate
14-16 Dec. 2009
Firstpage
695
Lastpage
698
Abstract
This paper presents a hardware solution to the design of general low-density parity-check (LDPC) decoders, which simplifies the delivery network required by the message passing algorithm. While many designs of LDPC decoders for specific classes of codes exist in the literature, the design of a general LDPC decoder capable of supporting random LDPC codes is still challenging. The method proposed in this paper tries to pack different check node (CN) and variable node (VN) messages in the Tanner graph representation of the LDPC code, and is therefore called message packing. This method takes advantage of the fact that for high-rate LDPC´s the CN´s degree is much larger than the VN´s, and two distinct methods for delivering the messages to the CNs and VNs are proposed. Using the proposed interconnection network (IN) results in lower complexity decoding of LDPC codes when compared to other designs.
Keywords
communication complexity; message passing; parity check codes; Tanner graph representation; check node messages; complexity decoding; error-correction codes; general decoding framework; high-rate LDPC codes; interconnection network; low-density parity-check decoders; message packing; message passing algorithm; variable node messages; Decoding; Hardware; Intelligent networks; Iterative algorithms; Message passing; Multiprocessor interconnection networks; Paper technology; Parity check codes; Sparse matrices; Throughput; VLSI architectures; decoder; interconnection networks; low-density parity-check (LDPC);
fLanguage
English
Publisher
ieee
Conference_Titel
Integrated Circuits, ISIC '09. Proceedings of the 2009 12th International Symposium on
Conference_Location
Singapore
Print_ISBN
978-9-8108-2468-6
Type
conf
Filename
5403795
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