887 citations
- Université Paris-SaclayFR9 papers
- Télécom ParisFR7 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- CentraleSupélecFR4 papers
- Institut national de recherche en sciences et technologies du numériqueFR4 papers
- University of PisaIT4 papers
- Laboratoire Traitement et Communication de l’InformationFR3 papers
- Linköping UniversitySE3 papers
- Living Independently Now CenterUS3 papers
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- Safran (France)FR3 papers
- Sorbonne UniversitéFR3 papers
8 papers · 1 filter
Demonstration of Probabilistic Constellation Shaping for Continuous Variable Quantum Key Distribution
François Roumestan, Amirhossein Ghazisaeidi, Jérémie Renaudier +3
We demonstrate, for the first time to our knowledge, continuous-variable quantum key distribution using probabilistically-shaped 1024-QAM and true local oscillator, achieving 38.3M…
Optimal Probing Sequences for Polarization-Multiplexed Coherent Phase OTDR
Christian Dorize, Elie Awwad, Sterenn Guerrier +1
We introduce dual-polarization probing codes based on two circularly shifted frequency sweep signals enabling perfect channel estimation. This is achieved with a probing length equ…
Towards Polarization-Insensitive Coherent Coded Phase OTDR
Sterenn Guerrier, Christian Dorize, Elie Awwad +1
We explore the alternatives for interrogating a fiber sensor from the polarization point of view, and demonstrate a better accuracy with dual polarization probing for coherent phi-…
On the Comparison of Single-Carrier vs. Digital Multi-Carrier Signaling for Long-Haul Transmission of Probabilistically Shaped Constellation Formats
Kaoutar Benyahya, Amirhossein Ghazisaeidi, Vahid Aref +6
We report on theoretical and experimental investigations of the nonlinear tolerance of single carrier and digital multicarrier approaches with probabilistically shaped constellatio…
Quantifying the rise and fall of scientific fields
Chakresh Singh, Emma Barme, Robert Ward +2
Science advances by pushing the boundaries of the adjacent possible. While the global scientific enterprise grows at an exponential pace, at the mesoscopic level the exploration an…
Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis
Faris B. Mismar, Jakob Hoydis
This letter demonstrates the use of unsupervised machine learning to enable performance self-diagnosis of next-generation cellular networks. We propose two simplified applications…