Rate-compatible LDPC-RS product codes based on raptor-like LDPC codes

Li, Yaqi; Liu, Bo; Rong, Bo; Wu, Yiyan; Gagnon, G.; Gui, Lin; Zhang, Wenjun

doi:10.1109/bmsb.2013.6621783

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…The remaining 50% parity bits are not needed. Therefore, with a specially designed interleaver structure and the Raptor-like rate compatible LDPC code [6], [26] which can be easily truncated (cut the parity bits) into higher rate code, the decoding delay can be reduced by 50% in this example.…”

Section: F System Latencymentioning

confidence: 99%

Cloud Transmission: System Performance and Application Scenarios

Montalbán

Zhang

Gil

et al. 2014

IEEE Trans. on Broadcast.

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Cloud Transmission (Cloud Txn) System is a flexible multi-layer system that uses spectrum overlay technology to simultaneously deliver multiple program streams with different characteristics and robustness for different services (mobile TV, HDTV and UHDTV) in one RF channel. The transmitted signal is formed by superimposing a number of independent signals at desired power levels, to form a multilayered signal. The signals of different layers can have different coding, bit rate, and robustness. For the top layer, system parameters are chosen to provide very robust transmission that can be used for high speed mobile broadcasting service to portable devices. The bit rate is traded for more powerful error correction coding and robustness so that the Signal to Noise Ratio (SNR) threshold at the receiver is a negative value in the range of -2 to -3 dB. The top layer is designed to withstand combined noise, co-channel interference and multipath distortion power levels higher than the desired signal power. The lowerlayer signal can be DVB-T2 signal or other newly designed system to deliver HDTV/UHDTV to fixed receivers. The system concept is open to technological advances that might come in the future: all new technologies, BICM/Non Uuniform-QAM, rotated constellations, Time Frequency Slicing or MIMO techniques can be implemented in the Cloud Txn lower (high data) rate layer. The main focus of this paper is to thoroughly describe the performance of this newly presented Cloud Transmission broadcasting system.

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Section: F System Latencymentioning

confidence: 99%

Cloud Transmission: System Performance and Application Scenarios

Montalbán

Zhang

Gil

et al. 2014

IEEE Trans. on Broadcast.

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“…In [13], Chung et al presented a block length (ten million bits) rate-LDPC code that achieves reliable performance-a bit error rate-on an additive white Gaussian noise channel with a signal-to-noise ratio within 0.04 dB of the Shannon limit. There are also many excellent researches on encoding (see [14] [15] [16]), decoding (see [17] [18]) and the rate of various LDPC codes (see [19] [20]). Journal of Information Security…”

Section: Introductionmentioning

confidence: 99%

Low-Density Parity-Check Codes: Research Status and Development Direction

Xu¹,

Zheng²,

Tian³

2022

JIS

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In this paper, we conclude five kinds of methods for construction of the regular low-density parity matrix H and three kinds of methods for the construction of irregular low-density parity-check matrix H. Through the analysis of the code rate and parameters of these eight kinds of structures, we find that the construction of low-density parity-check matrix tends to be more flexible and the parameter variability is enhanced. We propose that the current development cost should be lower with the progress of electronic technology and we need research on more practical Low-Density Parity-Check Codes (LDPC). Combined with the application of the quantum distribution key, we urgently need to explore the research direction of relevant theories and technologies of LDPC codes in other fields of quantum information in the future.

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