In this paper, we present a low-density parity-check coded modulation approach addressing orthogonal modulations with moderate order (between 8 and 32) over the additive white Gaussian noise channel. The proposed design is based on a constrained optimization of a non-binary low-density parity-check ensemble degree distribution, where the iterative decoding threshold is optimized via extrinsic information transfer analysis while restricting the search to degree distributions that target low error floors. For various orthogonal modulation orders, we provide useful approximations to the extrinsic information transfer functions, which enable a fast optimization with respect to the iterative decoding threshold. The approach is validated via codeword error rate Monte Carlo simulations and complemented by an error floor analysis, showing gains up to 0.8 dB at a codeword error rate of 10-4 with respect to existing designs, down to information block lengths as short as 192 bits.

Non-binary LDPC codes for orthogonal modulations: Analysis and code design / Liva, Gianluigi; Matuz, Balazs; Paolini, Enrico; Flanagan, Mark F.. - ELETTRONICO. - (2017), pp. 7996749.1-7996749.6. (Intervento presentato al convegno 2017 IEEE International Conference on Communications, ICC 2017 tenutosi a Paris, France nel 2017) [10.1109/ICC.2017.7996749].

Non-binary LDPC codes for orthogonal modulations: Analysis and code design

Paolini, Enrico;
2017

Abstract

In this paper, we present a low-density parity-check coded modulation approach addressing orthogonal modulations with moderate order (between 8 and 32) over the additive white Gaussian noise channel. The proposed design is based on a constrained optimization of a non-binary low-density parity-check ensemble degree distribution, where the iterative decoding threshold is optimized via extrinsic information transfer analysis while restricting the search to degree distributions that target low error floors. For various orthogonal modulation orders, we provide useful approximations to the extrinsic information transfer functions, which enable a fast optimization with respect to the iterative decoding threshold. The approach is validated via codeword error rate Monte Carlo simulations and complemented by an error floor analysis, showing gains up to 0.8 dB at a codeword error rate of 10-4 with respect to existing designs, down to information block lengths as short as 192 bits.
2017
IEEE International Conference on Communications
1
6
Non-binary LDPC codes for orthogonal modulations: Analysis and code design / Liva, Gianluigi; Matuz, Balazs; Paolini, Enrico; Flanagan, Mark F.. - ELETTRONICO. - (2017), pp. 7996749.1-7996749.6. (Intervento presentato al convegno 2017 IEEE International Conference on Communications, ICC 2017 tenutosi a Paris, France nel 2017) [10.1109/ICC.2017.7996749].
Liva, Gianluigi; Matuz, Balazs; Paolini, Enrico; Flanagan, Mark F.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/613497
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