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A survey of FPGA-based LDPC decoders

Hailes, Peter, Xu, Lei, Maunder, Robert G., Al-Hashimi, Bashir M. and Hanzo, Lajos (2015) A survey of FPGA-based LDPC decoders IEEE Communications Surveys & Tutorials, pp. 1-26. (doi:10.1109/COMST.2015.2510381).

Record type: Article


Low-Density Parity Check (LDPC) error correction decoders have become popular in communications systems, as a benefit of their strong error correction performance and their suitability to parallel hardware implementation. A great deal of research effort has been invested into LDPC decoder designs that exploit the flexibility, the high processing speed and the parallelism of Field-Programmable Gate Array (FPGA) devices. FPGAs are ideal for design prototyping and for the manufacturing of small-production-run devices, where their in-system programmability makes them far more cost-effective than Application-Specific Integrated Circuits (ASICs). However, the FPGA-based LDPC decoder designs published in the open literature vary greatly in terms of design choices and performance criteria, making them a challenge to compare. This paper explores the key factors involved in FPGA-based LDPC decoder design and presents an extensive review of the current literature. In-depth comparisons are drawn amongst 140 published designs (both academic and industrial) and the associated performance trade-offs are characterised, discussed and illustrated. Seven key performance characteristics are described, namely their processing throughput, latency, hardware resource requirements, error correction capability, processing energy efficiency, bandwidth efficiency and flexibility. We offer recommendations that will facilitate fairer comparisons of future designs, as well as opportunities for improving the design of FPGA-based LDPC decoders

PDF LDPCFPGASurvey.pdf - Accepted Manuscript
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Submitted date: 3 March 2015
Accepted/In Press date: 9 December 2015
Published date: 18 December 2015


Local EPrints ID: 374857
PURE UUID: fbe6c631-2d4d-4d05-92b7-90ec7cc1264d
ORCID for Peter Hailes: ORCID iD
ORCID for Robert G. Maunder: ORCID iD

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Date deposited: 06 Mar 2015 08:49
Last modified: 24 Jul 2017 16:39

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Author: Peter Hailes ORCID iD
Author: Lei Xu
Author: Robert G. Maunder ORCID iD
Author: Lajos Hanzo

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