2010
DOI: 10.1109/tit.2009.2034798
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Bandwidth-Efficient Modulation Codes Based on Nonbinary Irregular Repeat–Accumulate Codes

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Cited by 16 publications
(3 citation statements)
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“…Recent work on Irregular Repeat-Accumulate (IRA) codes over high-order finite fields has shown that they come extremely close to capacity on the Additive White Gaussian Noise (AWGN) channel for short packet sizes [6]. Motivated by this positive result on one-dimensional noisy channels, we base PRC's code on an IRA code designed for the two-dimensional Quadrature Amplitude Modulation (QAM) channel that wireless networks use.…”
Section: Graph-based Codementioning
confidence: 99%
See 1 more Smart Citation
“…Recent work on Irregular Repeat-Accumulate (IRA) codes over high-order finite fields has shown that they come extremely close to capacity on the Additive White Gaussian Noise (AWGN) channel for short packet sizes [6]. Motivated by this positive result on one-dimensional noisy channels, we base PRC's code on an IRA code designed for the two-dimensional Quadrature Amplitude Modulation (QAM) channel that wireless networks use.…”
Section: Graph-based Codementioning
confidence: 99%
“…It can be shown that the correct function to use to combine these messages is the hyperbolic tangent [3], but intuitively, the up message from the check node tends to be low confidence (close to zero) if any of its constituent down messages are zero. These con- cepts generalize to higher-order finite fields; for brevity we omit details, but refer the reader to the literature [6], et al Some strategies for early termination in a belief propagation decoder have been proposed, primarily focusing on binary LDPC decoders [14], as well as Raptor [12] and GF(2 q ) [5] codes. These works focus on either the sum of symbol variances or the change in the number of incorrect bits from iteration to iteration.…”
Section: Rateless Graph-based Codesmentioning
confidence: 99%
“…Furthermore, serial update schedules [23]- [28] have been proposed for performing URC decoding within the factor graph using a FR and a BR. This approach has been shown to reduce the required number of decoding iterations by up to 50% [26, Figure 6], compared to the parallel update schedule that is conventionally adopted for message passing.…”
Section: Introductionmentioning
confidence: 99%