LDPC Decoders for the WiMAX (IEEE 802.16e) Based on Multicore Architectures

Falcão, Gabriel; Silva, Vítor; Marinho, José; Sousa, Leonel

doi:10.5772/8265

Cited by 5 publications

(14 citation statements)

References 9 publications

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“…3 shows the error-correction performance of these codes. It can be seen that the (2048, 1707) polar code was about 0.05 dB away from the longest rate-5/6 code of [13]. The error-correction performance of the (2048, 1024) polar code was 0.2 dB worse than that of the (2304, 1152) LDPC code when decoded with 10 iterations, but better than the LDPC decoder using only 5 iterations.…”

Section: Comparison With Software Ldpc Decodersmentioning

confidence: 94%

“…The error-correction performance of the (2048, 1024) polar code was 0.2 dB worse than that of the (2304, 1152) LDPC code when decoded with 10 iterations, but better than the LDPC decoder using only 5 iterations. Table 2 shows the information throughput and latency corresponding to the proposed polar decoders in comparison with that of 10 decoding iterations of the software LDPC decoders of [13][14][15]17]. The LDPC decoder of [16] is also shown but only uses 5 iterations.…”

Section: Comparison With Software Ldpc Decodersmentioning

confidence: 99%

“…However in typical SDR applications the remaining cores are used for other tasks such as demodulation. We focus on the moderate length LDPC codes, with rates 1/2 and 5/6, from the WiMAX standard, which are used in [13][14][15][16][17]. We compare software LDPC and polar decoders at a similar error-correction performance for a given rate.…”

Section: Comparison With Software Ldpc Decodersmentioning

confidence: 99%

“…It should be noted that the implementations of [13][14][15][16][17] trade error-correction performance for throughput and that these LDPC codes can perform better when more iterations are used. For example, the use of 5 decoding iterations in [16] instead of 10 leads to an error-correction performance degradation of 0.5 dB, as shown in Fig.…”

Section: Comparison With Software Ldpc Decodersmentioning

confidence: 99%

“…The decoders of [14,15] target the Cell/BE multicore processor, an NVIDIA 8800 GTX GPU and an Intel x86 CPU, respectively. In [13], Falcão et al cover more WiMAX LDPC codes with their implementation for the Cell/BE processor. Lastly, [16] and [17] are aimed at delivering very high throughput using modern GPUs.…”

Section: Comparison With Software Ldpc Decodersmentioning

confidence: 99%

See 4 more Smart Citations

Fast software polar decoders

Giard

Sarkis

Thibeault

et al. 2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Among error-correcting codes, polar codes are the first to provably achieve channel capacity with an explicit construction. In this work, we present software implementations of a polar decoder that leverage the capabilities of modern general-purpose processors to achieve an information throughput in excess of 200 Mbps, a throughput well suited for software-defined-radio applications. We also show that, for a similar error-correction performance, the throughput of polar decoders both surpasses that of LDPC decoders targeting general-purpose processors and is competitive with that of state-of-the-art software LDPC decoders running on graphic processing units.

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Section: Comparison With Software Ldpc Decodersmentioning

confidence: 94%

Section: Comparison With Software Ldpc Decodersmentioning

confidence: 99%

Section: Comparison With Software Ldpc Decodersmentioning

confidence: 99%

Section: Comparison With Software Ldpc Decodersmentioning

confidence: 99%

Section: Comparison With Software Ldpc Decodersmentioning

confidence: 99%

See 3 more Smart Citations

Fast software polar decoders

Giard

Sarkis

Thibeault

et al. 2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Selective max‐min algorithm for low‐density parity‐check decoding

Hareedy

Khairy

2013

IET Communications

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With the growing importance of error correction in different communication systems, using an efficient and easily implementable code is always appreciated. One of the most important codes is the low-density parity-check (LDPC) code. Two main iterative decoding algorithms are usually used, namely the sum-product (SP) algorithm (also referred to as belief propagation) and the min-sum (MS). The SP algorithm is more accurate but suffers from very high complexity. On the other hand, the MS algorithm has a much lower complexity at the expense of some performance degradation. To handle this performance degradation, many algorithms were presented in the literature as improvements for the MS, like the scaled MS and the offset MS. However, all those improved algorithms are more complex than the traditional MS. In this study, an efficient and low complexity LDPC decoding algorithm, called selective max-min (SMM), is proposed. The SMM performance is closer to SP than to MS as long as the average number of ones per column in the parity check matrix is around or less than 4 (which is the case for most of the communication systems using LDPC). On the other hand, the SMM exhibits only a minor complexity increase over traditional MS making it suitable for practical implementation.

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Performance of LDPC coded modulations in Power Line Communications

Tripodi

Ferrari

Pighi³

et al. 2016

2016 International Symposium on Power Line Communications and Its Applications (ISPLC)

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We discuss the performance of different coding schemes based on the use of short LDPC codes, which are suitable for the application in Power Line Communications (PLC) systems, where low latency and high spectral efficiency is requested. We identify the class of LDPC codes appropriate for this purpose in the codes used in IEEE 802.16e standard (WiMAX). We then propose different coding schemes and conduct a performance analysis in terms of their capability of achieving the capacity in an Additive White Gaussian Noise (AWGN) channel, while keeping low the overall latency of the encoding/decoding process. We also consider the presence of bursty impulse noise, in order to investigate a typical PLC scenario. The analysis proves that WiMAX standard LDPC codes, used with proper coding schemes, achieve competitive trade-off between spectral and energy efficiency, maintaining the compatibility with the considered latency constraint.

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LDPC Decoders for the WiMAX (IEEE 802.16e) Based on Multicore Architectures

Cited by 5 publications

References 9 publications

Fast software polar decoders

Fast software polar decoders

Selective max‐min algorithm for low‐density parity‐check decoding

Performance of LDPC coded modulations in Power Line Communications

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