Multidimensional Voronoi Constellations vs. Short Blocklength Probabilistic Shaping: A Comparison for Multilevel Coding Approach
Yajie Sheng, Bin Chen, Yi Lei, Jingxin Deng, Jiwei Xu, Mengfan Fu,, Qunbi Zhuge, Shen Li
TL;DR
This paper compares multidimensional Voronoi constellations and probabilistic shaping in multilevel coding over AWGN channels, demonstrating that VCs can achieve significant SNR gains over PS-QAM with finite blocklengths.
Contribution
It provides a comparative analysis showing the advantages of VCs over PS-QAM in terms of SNR performance for multilevel coding.
Findings
VCs offer up to 1.3 dB SNR gain over PS-QAM with blocklength 200
Numerical results validate the performance benefits of VCs in AWGN channels
Analysis focuses on finite blocklength regimes for practical coding schemes
Abstract
Performance of concatenated multilevel coding with probabilistic shaping (PS) and Voronoi constellations (VCs) is analysed over AWGN channel. Numerical results show that VCs provide up to 1.3 dB SNR gains over PS-QAM with CCDM blocklength of 200.
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Taxonomy
TopicsDigital Image Processing Techniques