Construction of Irregular QC LDPC Codes with low error floor for High Speed Optical Communications

Wang, Dongdong; Wang, Liqian; Chen, Xue; Fei, Aimei; Chen, Chi; Ju, Chen; Wang, Zhirong; Wang, Huitao

doi:10.1364/cleo_at.2016.jth2a.133

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…It can be also considered as a candidate in 5G channel coding scheme for short length frame with lower processing throughput for the mMTC or massive Machine to Machine (mM2M) [27]. Furthermore, 5G QC-LDPC codes is also an optimized design for short-packet transmission with low error floor and high speed transmission [35]- [37]. The Base Graph (BG) matrix and exponent parity check matrix H are the basic fundamental to construct the 5G QC-LDPC codes, which are described in detail in [32], [38], [39].…”

Section: A 5g Qc-ldpc Codesmentioning

confidence: 99%

Joint Iterative Blind Self-Interference Cancellation, Propagation Channel Estimation and Decoding Processes in Full-Duplex Transmissions

et al. 2022

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The paper proposes a joint blind iterative Self-Interference (SI) cancellation, propagation channel estimation and decoding algorithm in Full-Duplex (FD) transmissions via feedback of channel estimates and decoded messages combined with the process of Digital Self-Interference Cancellation (DSIC). Different from the conventional algorithm, the proposed blind algorithm simultaneously estimates the self-interference and propagation channels and decodes messages in each decoding iteration of 5G Quasi-Cyclic Low Density Parity Check (QC-LDPC) codes. The temporary propagation channel estimate and decoded message are fed back to improve the self-interference cancellation and also the channel estimation as well as decoding in the next iteration. The results show that the proposed algorithm outperforms the conventional algorithm, especially at high signal to noise ratio (SNR) and small number of symbols, and requires much less processing time and computational complexity while achieving the convergence performance. The results also show that the proposed algorithm is less sensitive to SI level than the conventional algorithm. The paper further proposes a partial feedback scheme, which only use few feedback symbols for channel estimation, to significantly reduce the processing time and computational complexity while maintaining the performance. These good properties seem quite suitable for a use of this proposed blind iterative algorithm for short-length packet FD transmissions in Internet-of-Things (IoT) applications and green communications.

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Section: A 5g Qc-ldpc Codesmentioning

confidence: 99%

Joint Iterative Blind Self-Interference Cancellation, Propagation Channel Estimation and Decoding Processes in Full-Duplex Transmissions

et al. 2022

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“…In 2018, the 3rd Generation Partnership Project (3GPP) chose QC-LDPC codes as the standard codes for 5G networks and applications based on the properties and characteristics of classical LDPC codes, especially for a short-length frame with lower processing throughput for uRLLC and the mMTC or massive Machine-to-Machine (mM2M) communications [ 32 , 34 , 43 , 44 , 45 ]. Moreover, the authors in [ 46 , 47 , 48 ] showed that 5G QC-LDPC codes are also an optimised design for short-packet transmission because of the low error floor and high-speed transmission. The construction of the encoder and decoder processes are described in Figure 2 .…”

Section: Conventional Sb _dsiced3 _w/of Schemementioning

confidence: 99%

Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet Full-Duplex Transmissions

Vuong

Gautier

et al. 2022

Sensors

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The paper proposes a joint semi-blind algorithm for simultaneously cancelling the self-interference component and estimating the propagation channel in 5G Quasi-Cyclic Low-Density Parity-Check (QC-LDPC)-encoded short-packet Full-Duplex (FD) transmissions. To avoid the effect of channel estimation processes when using short-packet transmissions, this semi-blind algorithm was developed by taking into account only a small number (four at least) pilot symbols, which was integrated with the intended information sequence and used for the feedback loop of the estimation of the channels. The results showed that this semi-blind algorithm not only achieved nearly optimal performance, but also significantly reduced the processing time and computational complexity. This semi-blind algorithm can also improve the performances of the Mean-Squared Error (MSE) and Bit Error Rate (BER). The results of this study highlight the potential efficiency of this joint semi-blind iterative algorithm for 5G and Beyond and/or practical IoT transmission scenarios.

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Superposition Construction of NB-QC-LDPC Codes for optical communication systems

Wang

et al. 2019

2019 18th International Conference on Optical Communications and Networks (ICOCN)

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Construction of Irregular QC LDPC Codes with low error floor for High Speed Optical Communications

Cited by 3 publications

References 2 publications

Joint Iterative Blind Self-Interference Cancellation, Propagation Channel Estimation and Decoding Processes in Full-Duplex Transmissions

Joint Iterative Blind Self-Interference Cancellation, Propagation Channel Estimation and Decoding Processes in Full-Duplex Transmissions

Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet Full-Duplex Transmissions

Superposition Construction of NB-QC-LDPC Codes for optical communication systems

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