Design and Performance Analysis of Probabilistically Shaped QAM Signals for Coherent FSO Systems with Gamma-Gamma Turbulence Channels
Probabilistic shaping (PS) is a promising technique to approach the Shannon limit. In this paper, we design a practical coded modulation scheme based on PS to improve the capacity of coherent free-space optical (FSO) links with quadrature amplitude modulation (QAM), where the fading channel follows...
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oai:doaj.org-article:74e3e0e10980484ba6224cd4df4ff95c2021-11-11T14:57:23ZDesign and Performance Analysis of Probabilistically Shaped QAM Signals for Coherent FSO Systems with Gamma-Gamma Turbulence Channels10.3390/app112198052076-3417https://doaj.org/article/74e3e0e10980484ba6224cd4df4ff95c2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9805https://doaj.org/toc/2076-3417Probabilistic shaping (PS) is a promising technique to approach the Shannon limit. In this paper, we design a practical coded modulation scheme based on PS to improve the capacity of coherent free-space optical (FSO) links with quadrature amplitude modulation (QAM), where the fading channel follows the Gamma-Gamma distribution. The aim of this paper is to optimize the probability mass function (PMF) of the QAM signal points to achieve the maximum channel capacity. Due to the complexity of the objective function, the heuristic algorithm was employed to solve the optimization problem. To the best of the authors’ knowledge, the closed-form pairwise error probability (PEP) is first derived with the non-uniform signals under the turbulence channel. In addition, we measure the average symbol error rate (SER) and post-FEC bit error rate (BER) by the Monte Carlo simulation method. The numerical simulation results of both capacity and BER show that the proposed PS scheme is better than the uniform distribution. The post-FEC BER results show that the proposed PS scheme provides significant gains compared with the uniform scheme.Ruotong TianZhiyong WuShuang MaYucong GuXueliang LiMDPI AGarticleprobabilistic shapinggamma-gamma channelpairwise error probabilityTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9805, p 9805 (2021) |
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probabilistic shaping gamma-gamma channel pairwise error probability Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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probabilistic shaping gamma-gamma channel pairwise error probability Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Ruotong Tian Zhiyong Wu Shuang Ma Yucong Gu Xueliang Li Design and Performance Analysis of Probabilistically Shaped QAM Signals for Coherent FSO Systems with Gamma-Gamma Turbulence Channels |
description |
Probabilistic shaping (PS) is a promising technique to approach the Shannon limit. In this paper, we design a practical coded modulation scheme based on PS to improve the capacity of coherent free-space optical (FSO) links with quadrature amplitude modulation (QAM), where the fading channel follows the Gamma-Gamma distribution. The aim of this paper is to optimize the probability mass function (PMF) of the QAM signal points to achieve the maximum channel capacity. Due to the complexity of the objective function, the heuristic algorithm was employed to solve the optimization problem. To the best of the authors’ knowledge, the closed-form pairwise error probability (PEP) is first derived with the non-uniform signals under the turbulence channel. In addition, we measure the average symbol error rate (SER) and post-FEC bit error rate (BER) by the Monte Carlo simulation method. The numerical simulation results of both capacity and BER show that the proposed PS scheme is better than the uniform distribution. The post-FEC BER results show that the proposed PS scheme provides significant gains compared with the uniform scheme. |
format |
article |
author |
Ruotong Tian Zhiyong Wu Shuang Ma Yucong Gu Xueliang Li |
author_facet |
Ruotong Tian Zhiyong Wu Shuang Ma Yucong Gu Xueliang Li |
author_sort |
Ruotong Tian |
title |
Design and Performance Analysis of Probabilistically Shaped QAM Signals for Coherent FSO Systems with Gamma-Gamma Turbulence Channels |
title_short |
Design and Performance Analysis of Probabilistically Shaped QAM Signals for Coherent FSO Systems with Gamma-Gamma Turbulence Channels |
title_full |
Design and Performance Analysis of Probabilistically Shaped QAM Signals for Coherent FSO Systems with Gamma-Gamma Turbulence Channels |
title_fullStr |
Design and Performance Analysis of Probabilistically Shaped QAM Signals for Coherent FSO Systems with Gamma-Gamma Turbulence Channels |
title_full_unstemmed |
Design and Performance Analysis of Probabilistically Shaped QAM Signals for Coherent FSO Systems with Gamma-Gamma Turbulence Channels |
title_sort |
design and performance analysis of probabilistically shaped qam signals for coherent fso systems with gamma-gamma turbulence channels |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/74e3e0e10980484ba6224cd4df4ff95c |
work_keys_str_mv |
AT ruotongtian designandperformanceanalysisofprobabilisticallyshapedqamsignalsforcoherentfsosystemswithgammagammaturbulencechannels AT zhiyongwu designandperformanceanalysisofprobabilisticallyshapedqamsignalsforcoherentfsosystemswithgammagammaturbulencechannels AT shuangma designandperformanceanalysisofprobabilisticallyshapedqamsignalsforcoherentfsosystemswithgammagammaturbulencechannels AT yuconggu designandperformanceanalysisofprobabilisticallyshapedqamsignalsforcoherentfsosystemswithgammagammaturbulencechannels AT xueliangli designandperformanceanalysisofprobabilisticallyshapedqamsignalsforcoherentfsosystemswithgammagammaturbulencechannels |
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1718437899402215424 |