Reinventing Energy Efficiency in Communication Networks

Informazioni relative al progetto

RENEW

ID dell’accordo di sovvenzione: 101001899

DOI

10.3030/101001899

Data della firma CE 20 Gennaio 2021

Data di avvio 1 Giugno 2021

Data di completamento 31 Maggio 2026

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 999 835,00

Contributo UE

€ 1 999 835,00

Coordinato da

KARLSRUHER INSTITUT FUER TECHNOLOGIE
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (5)

Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs

Autori: Luca Schmid; Laurent Schmalen
Pubblicato in: IEEE Transactions on Communications, Numero 11, 2022, Pagina/e 7562 - 7575, ISSN 0090-6778
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.2203.16417

Error-and-Erasure Decoding of Product and Staircase Codes

Autori: Lukas Rapp; Laurent Schmalen
Pubblicato in: IEEE Transactions on Communications, Numero 1, 2021, Pagina/e 32-44, ISSN 0090-6778
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.2103.05716

Roadmap on optical communications

Autori: Erik Agrell, Magnus Karlsson, Francesco Poletti, Shu Namiki, Xi (Vivian) Chen, Leslie A Rusch, Benjamin Puttnam, Polina Bayvel, Laurent Schmalen, Zhenning Tao, Frank R Kschischang, Alex Alvarado, Biswanath Mukherjee, Ramon Casellas, Xiang Zhou, Dora van Veen, Georg Mohs, Elaine Wong, Antonio Mecozzi, Mohamed-Slim Alouini, Eleni Diamanti, Murat Uysal
Pubblicato in: Journal of Optics, Numero 26, 2024, Pagina/e 093001, ISSN 2040-8978
Editore: Institute of Physics Publishing
DOI: 10.1088/2040-8986/ad261f

Improved Soft-aided Decoding of Product Codes with Dynamic Reliability Scores

Autori: Sisi Miao, Lukas Rapp, Laurent Schmalen
Pubblicato in: Journal of Lightwave Technology, Numero 22, 2022, Pagina/e 7279 - 7288, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2022.3201951

End-to-End Optimization of Constellation Shaping for Wiener Phase Noise Channels With a Differentiable Blind Phase Search

Autori: Andrej Rode; Benedikt Geiger; Shrinivas Chimmalgi; Laurent Schmalen
Pubblicato in: Journal of Lightwave Technology, Numero 1, 2023, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2023.3265308

Conference proceedings (28)

Improved Soft-aided Decoding of Product Codes with Adaptive Performance-Complexity Trade-off

Autori: Sisi Miao, Lukas Rapp, Laurent Schmalen
Pubblicato in: Proc. European Conference on Optical Communications (ECOC), 2022
Editore: IEEE

Spiking Neural Network Decision Feedback Equalization

Autori: Bansbach, Eike-Manuel; von Bank, Alexander; Schmalen, Laurent
Pubblicato in: 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding, Numero 1, 2023
Editore: VDE
DOI: 10.48550/arxiv.2211.04756

Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution

Autori: Kadir Gumus; Laurent Schmalen
Pubblicato in: Proc. 17th International Symposium on Wireless Communication Systems (ISWCS), 2021, ISBN 978-1-7281-7432-7
Editore: IEEE
DOI: 10.1109/iswcs49558.2021.9562244

Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters

Autori: Andrej Rode, Laurent Schmalen
Pubblicato in: Proc. European Conference on Optical Communications (ECOC), 2022
Editore: IEEE

Endomorphisms of Linear Block Codes

Autori: Jonathan Mandelbaum, Sisi Miao, Holger Jäkel, Laurent Schmalen
Pubblicato in: IEEE International Symposium on Information Theory (ISIT), 2024
Editore: IEEE
DOI: 10.48550/arxiv.2402.00562

Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications

Autori: Jonas Ney, Patrick Matalla, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn
Pubblicato in: IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2024
Editore: IEEE
DOI: 10.48550/arxiv.2402.15288

Local Message Passing on Frustrated Systems

Autori: Schmid, Luca; Brenk, Joshua; Schmalen, Laurent
Pubblicato in: UAI '23: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, 2023, Pagina/e 1387-1846
Editore: ACM
DOI: 10.48550/arxiv.2306.01494

A Joint Code and Belief Propagation Decoder Design for Quantum LDPC Codes

Autori: Miao, Sisi; Mandelbaum, Jonathan; Jäkel, Holger; Schmalen, Laurent
Pubblicato in: International Symposium on Information Theory (ISIT), 2024
Editore: IEEE
DOI: 10.48550/arxiv.2401.06874

Improved soft-aided error-and-erasure decoding of product codes with dynamic reliability scores

Autori: Sisi Miao, Lukas Rapp, Laurent Schmalen
Pubblicato in: 2022 Optical Fiber Communications Conference and Exhibition (OFC), 2022, ISBN 978-1-55752-466-9
Editore: IEEE
DOI: 10.1364/ofc.2022.w3h.2

Improved Generalized Automorphism Belief Propagation Decoding

Autori: Jonathan Mandelbaum, Sisi Miao, Nils ALbert Schwendemann, Holger Jäkel, Laurent Schmalen
Pubblicato in: International Symposium on Wireless Communication Systems (ISWCS), 2024
Editore: IEEE
DOI: 10.48550/arxiv.2406.02012

Semi-Deterministic Subspace Selection for Sparse Recursive Projection-Aggregation Decoding of Reed-Muller Codes

Autori: Voigt, Johannes; Jäkel, Holger; Schmalen, Laurent
Pubblicato in: 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding, Numero 1, 2023, ISBN 978-3-8007-6050-3
Editore: VDE
DOI: 10.48550/arxiv.2211.01204

Error-and-erasure Decoding of Product and Staircase Codes with Simplified Extrinsic Message Passing

Autori: Sisi Miao, Lukas Rapp, Laurent Schmalen
Pubblicato in: 2022 IEEE International Symposium on Information Theory (ISIT), 2022, ISBN 978-1-6654-2159-1
Editore: IEEE
DOI: 10.1109/isit50566.2022.9834870

Neural Belief Propagation Decoding of Quantum LDPC Codes Using Overcomplete Check Matrices

Autori: Sisi Miao; Alexander Schnerring; Haizheng Li; Laurent Schmalen
Pubblicato in: Information Theory Workshop (ITW), Numero 1, 2023, ISBN 979-8-3503-0149-6
Editore: IEEE
DOI: 10.1109/itw55543.2023.10161656

Energy-efficient Spiking Neural Network Equalization for IM/DD Systems with Optimized Neural Encoding

Autori: von Bank, Alexander; Edelmann, Eike-Manuel; Schmalen, Laurent
Pubblicato in: Optical Fiber Communications Conference (OFC), 2024
Editore: Optica
DOI: 10.48550/arxiv.2312.12909

Introducing RSESS: An Open Source Enumerative Sphere Shaping Implementation Coded in Rust

Autori: Frederik Ritter, Andrej Rode, Laurent Schmalen
Pubblicato in: Proceedings of the 13th GNU Radio Conference, Numero 1, 2023
Editore: GnuRadio
DOI: 10.48550/arxiv.2402.08771

Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation

Autori: Chimmalgi, Shrinivas; Rode, Andrej; Schmid, Luca; Schmalen, Laurent
Pubblicato in: European Conference on Optical Communications (ECOC), Numero 1, 2023
Editore: VDE
DOI: 10.48550/arxiv.2307.03517

Joint Geometric and Probabilistic Constellation Shaping with MOKka

Autori: Andrej Rode, Shrinivas Chimmalgi, Benedikt Geiger, Laurent Schmalen
Pubblicato in: IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2024
Editore: IEEE
DOI: 10.36227/techrxiv.172262862.20758603/v1

Spiking Neural Network Decision Feedback Equalization for IM/DD Systems

Autori: Alexander von Bank; Eike-Manuel Edelmann; Laurent Schmalen
Pubblicato in: Advanced Photonics Congress, Numero 1, 2023
Editore: Optica
DOI: 10.1364/iprsn.2023.jw2e.3

Improved Soft-aided Decoding of Product Codes with Adaptive Performance-Complexity Trade-off

Autori: Miao, Sisi; Rapp, Lukas; Schmalen, Laurent
Pubblicato in: European Conference on Optical Communications, Numero 1, 2022, ISBN 978-1-957171-15-9
Editore: VDE
DOI: 10.48550/arxiv.2207.04815

Performance Analysis of Generalized Product Codes with Irregular Degree Distribution

Autori: Miao, Sisi; Mandelbaum, Jonathan; Rapp, Lukas; Jäkel, Holger; Schmalen, Laurent
Pubblicato in: International Symposium on Information Theory (ISIT), 2024
Editore: IEEE
DOI: 10.48550/arxiv.2401.16977

Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information

Autori: Eike-Manuel Bansbach, Yigit Kiyak, Laurent Schmalen
Pubblicato in: Proc. European Wireless 2022, 2022
Editore: VDE ITG

Optimized Geometric Constellation Shaping for Wiener Phase Noise Channels with Viterbi-Viterbi Carrier Phase Estimation

Autori: Rode, Andrej; Gebrehiwot, Wintana Araya; Chimmalgi, Shrinivas; Schmalen, Laurent
Pubblicato in: European Conference on Optical Communications (ECOC), Numero 1, 2023
Editore: IET
DOI: 10.48550/arxiv.2307.01367

Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels

Autori: Andrej Rode; Laurent Schmalen
Pubblicato in: Optical Fiber Communications Conference (OFC), Numero 1, 2023
Editore: Optica
DOI: 10.1364/ofc.2023.th3e.3

Neural Enhancement of Factor Graph-based Symbol Detection

Autori: Luca Schmid, Laurent Schmalen
Pubblicato in: 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022, ISBN 978-1-6654-9455-7
Editore: IEEE
DOI: 10.1109/spawc51304.2022.9834025

Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning

Autori: Lukas Rapp; Luca Schmid; Andrej Rode; Laurent Schmalen
Pubblicato in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numero 1, 2023
Editore: IEEE
DOI: 10.1109/icassp49357.2023.10096360

A Spatially Coupled LDPC Coding Scheme with Scalable Decoders for Space Division Multiplexing

Autori: Li, Haizheng; Schmalen, Laurent
Pubblicato in: European Conference on Optical Communications (ECOC), Numero 1, 2023
Editore: IET
DOI: 10.48550/arxiv.2308.01249

Geometric constellation shaping for phase-noise channels using a differentiable blind phase search

Autori: Andrej Rode, Benedikt Geiger, Laurent Schmalen
Pubblicato in: 2022 Optical Fiber Communications Conference and Exhibition (OFC), 2022, ISBN 978-1-55752-466-9
Editore: IEEE
DOI: 10.1364/ofc.2022.th2a.32

Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters

Autori: Rode, Andrej; Schmalen, Laurent
Pubblicato in: European Conference on Optical Communications (ECOC), Numero 1, 2022
Editore: VDE
DOI: 10.48550/arxiv.2206.12288