Multidimensional Constellation Shaping for Coherent Optical Communication Systems
Doctoral thesis, 2022
To study geometric shaping, we explore multidimensional lattice-based constellations. These constellations provide a regular structure with fast and low-complexity encoding and decoding. We show the possibility of transmitting and detecting constellations with a size of more than 10^{28} points, which can be done without a look-up table to store the constellation points. Moreover, we experimentally realize our proposed multidimensional modulation formats in long-haul optical communication systems.
Finally, we investigate the performance of probabilistically shaped quadrature amplitude modulation and compare it with uniform cross quadrature amplitude modulation in the presence of transmitter impairments, and with uniform quadrature amplitude modulation in links where higher-order modulation formats co-propagate with on-off keying wavelength channels.
lattice-based constellations
geometric shaping
probabilistic shaping
multidimensional modulation format
Voronoi constellation
constellation shaping
optical communications
coherent receiver
Author
Ali Mirani
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Lattice-based geometric shaping
European Conference on Optical Communication, ECOC,;(2020)
Paper in proceeding
Low-complexity geometric shaping
Journal of Lightwave Technology,;Vol. 39(2021)p. 363-371
Journal article
Physical Realizations of Multidimensional Voronoi Constellations in Optical Communication Systems
Journal of Lightwave Technology,;Vol. 41(2023)p. 5557-5563
Journal article
Capacity of phase-sensitively preamplified optical links at low signal-to-noise ratio
2022 European Conference on Optical Communication, ECOC 2022,;(2022)
Paper in proceeding
Comparison of uniform cross QAM and probabilistically shaped QAM formats under the impact of transmitter impairments
IET Conference Publications,;(2019)
Paper in proceeding
Performance of Probabilistic Shaping Coherent Channels in Hybrid Systems
International Conference on Transparent Optical Networks,;Vol. 2020-July(2020)p. 1-3
Paper in proceeding
Usually, in communication theory, the transmitted information is represented with discrete points known as symbols. When the symbols are transmitted over the channel, different noise sources distort the signal, and what we receive is different than what we transmitted. Because of these noise sources, the received samples appear as spherical clouds on the receiver side which can overlap with each other. The purpose of coding and modulation is to reduce the error probability because of this overlap and to increase the information rate that can be transmitted over the channel.
The goal of this thesis is to propose energy-efficient modulations that can outperform the conventional modulations already used in optical communication systems. We show that by increasing the dimension of the symbols, an improved sensitivity can be achieved to tolerate the channel noise. Therefore, the optical signal can propagate for a longer distance over the fiber link.
Communications over bursty optical channels
Swedish Research Council (VR) (2021-03709), 2022-01-01 -- 2025-12-31.
Polarization-aware fiber optic transmisson
Swedish Research Council (VR) (2015-04239), 2016-01-01 -- 2019-12-31.
Signal shaping in optical communications—Beyond the Gaussian channel
Swedish Research Council (VR) (2017-03702), 2018-01-01 -- 2021-12-31.
Noiseless phase-sensitive optical amplifiers and their applications
Swedish Research Council (VR) (2015-00535), 2016-01-01 -- 2025-12-31.
Unlocking the Full-dimensional Fiber Capacity
Knut and Alice Wallenberg Foundation (KAW 2018.0090), 2019-07-01 -- 2024-06-30.
Coupled fiber optic channels
Swedish Research Council (VR) (2019-04078), 2019-12-01 -- 2023-11-30.
Areas of Advance
Information and Communication Technology
Driving Forces
Sustainable development
Innovation and entrepreneurship
Subject Categories
Telecommunications
Atom and Molecular Physics and Optics
Communication Systems
Electrical Engineering, Electronic Engineering, Information Engineering
Roots
Basic sciences
Infrastructure
C3SE (Chalmers Centre for Computational Science and Engineering)
Learning and teaching
Pedagogical work
ISBN
978-91-7905-775-6
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5241
Publisher
Chalmers
Kollektorn, MC2 department, Kemivägen 9, Chalmers
Opponent: David Millar, Infinera corp., Canada