2023
DOI: 10.1109/jlt.2023.3264927
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Physical Realizations of Multidimensional Voronoi Constellations in Optical Communication Systems

Abstract: Multidimensional geometric shaping has been shown to outperform uniform quadrature amplitude modulation (QAM) in optical communication systems but the complexity of symbol decision and bit mapping can often be significant as dimensionality increases. In this paper, a low-complexity geometric shaping method based on multidimensional lattices is investigated both in experiments and simulations. The modulation formats designed based on this method are called Voronoi constellations (VCs) and we study them in 8, 16… Show more

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Cited by 2 publications
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“…To overcome the bottleneck of SE and complexity limitation for MD formats, MD Voronoi constellation (VC) as an advanced geometric shaping method, offers high shaping gain and low complexity at high SE by eliminating the need for look-up tables to store constellation points [7] . VCs have been investigated both in additive white Gaussian noise (AWGN) channel [8], [9] and optical transmission experiments across multiple physical dimensions (wavelength, polarization and time slots) of SMF [10], [11] . By combining MD VC with multi-level coding (MLC), the performance of optical transmission system can be further enhanced [12] .…”
Section: Introductionmentioning
confidence: 99%
“…To overcome the bottleneck of SE and complexity limitation for MD formats, MD Voronoi constellation (VC) as an advanced geometric shaping method, offers high shaping gain and low complexity at high SE by eliminating the need for look-up tables to store constellation points [7] . VCs have been investigated both in additive white Gaussian noise (AWGN) channel [8], [9] and optical transmission experiments across multiple physical dimensions (wavelength, polarization and time slots) of SMF [10], [11] . By combining MD VC with multi-level coding (MLC), the performance of optical transmission system can be further enhanced [12] .…”
Section: Introductionmentioning
confidence: 99%