Coded Modulation Schemes for Voronoi Constellations
Journal article, 2025

Multidimensional Voronoi constellations (VCs) have been shown to be more power-efficient than quadrature amplitude modulation (QAM) formats given the same uncoded bit error rate, and also have higher achievable information rates. However, a coded modulation scheme that sustains these gains after forward error correction (FEC) coding is still lacking. This paper designs coded modulation schemes with soft-decision FEC codes for VCs, including bit-interleaved coded modulation (BICM) and multilevel coded modulation (MLCM), together with three bit-to-integer mapping algorithms and log-likelihood ratio calculation algorithms. Simulation results show that VCs can achieve up to 1.84 dB signal-to-noise ratio (SNR) gains over QAM with BICM, and up to 0.99 dB SNR gains over QAM with MLCM for the additive white Gaussian noise channel at the bit error rate of 1.81 × 10−3 with a low decoding complexity.

Ungerboeck SP

Bit-interleaved coded modulation

multilevel coding

multidimensional modulation formats

Voronoi constellations

information rates

lattices

geometric shaping

constellation labeling

forward error correction coding

Author

Shen Li

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Universite Laval

Ali Mirani

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Ericsson

Magnus Karlsson

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Erik Agrell

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Transactions on Communications

0090-6778 (ISSN) 15580857 (eISSN)

Vol. 73 10 8454-8469

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Swedish Research Council (VR) (2021-03709), 2022-01-01 -- 2025-12-31.

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Swedish Research Council (VR) (2017-03702), 2018-01-01 -- 2021-12-31.

Areas of Advance

Information and Communication Technology

Subject Categories (SSIF 2025)

Communication Systems

Telecommunications

Signal Processing

DOI

10.1109/TCOMM.2025.3554118

More information

Latest update

4/27/2026