Switch-Mode Analog Signal Processing for Integrated 5G Transceivers

Informazioni relative al progetto

SMArT

ID dell’accordo di sovvenzione: 860921

DOI

10.3030/860921

Progetto chiuso

Data della firma CE 10 Marzo 2020

Data di avvio 1 Agosto 2020

Data di completamento 31 Luglio 2024

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 817 931,52

Contributo UE

€ 817 931,52

Coordinato da

AALTO KORKEAKOULUSAATIO SR
Finland

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 .

Risultati finali

Documents, reports (11)

Report on new DPD algorithms and architectures
Report on recruitment of fellows
Project evaluation report 1
Progress report

Suggested by EU

Updated report on DPD with hardware implementation
Simulation report of new PA concepts and circuits
Dissemination plan
Updated report on PA implementation with measurement results
Project evaluation report 2
Simulation report of new transmitter architecture
Updated report on transmitter implementation with measurement results

Other (3)

Report (M18) about workshop (M15) on challenges in 5G transceiver design
Report (M36) about workshop (M33) on digital pre-distortion techniques for 5G transceivers
Report (M30) about workshop (M27) on switch-mode analog signal processing

Open Research Data Pilot (1)

Data Management Plan adhering to H2020 Open Research Data Pilot

Websites, patent fillings, videos etc. (1)

Project website operational

Pubblicazioni

Conference proceedings (6)

Digital Predistortion with Compressed Observations for Cloud-Based Learning

Autori: Arne Fischer-Bühner, Emil Matúš, Manil Dev Gomony, Lauri Anttila, Gerhard Fettweis, Mikko Valkama
Pubblicato in: 2021 IEEE Workshop on Signal Processing Systems (SiPS), 2021
Editore: IEEE
DOI: 10.1109/sips52927.2021.00016

Low-Complexity Feedback Data Compression for Closed-Loop Digital Predistortion

Autori: Arne Fischer-Bühner, Lauri Anttila, Vishnu Unnikrishnan, Manil Dev Gomony, Mikko Valkama
Pubblicato in: 2023 IEEE/MTT-S International Microwave Symposium - IMS 2023, 2023
Editore: IEEE
DOI: 10.1109/ims37964.2023.10188025

Variable Time-Step 2.5-15 GHz Phase Modulator with Pre-Distortion for Outphasing Transmitters

Autori: Tze Hin Cheung, Agnimesh Ghosh, Andrei Spelman, Dhanashree Boopathy, Vishnu Unnikrishnan, Lauri Anttila, Mikko Valkama, Marko Kosunen, Kari Stadius, Jussi Ryynänen
Pubblicato in: 2024 22nd IEEE Interregional NEWCAS Conference (NEWCAS), 2024, Pagina/e 1-5
Editore: IEEE
DOI: 10.1109/newcas58973.2024.10666306

Mixture of Experts Neural Network for Modeling of Power Amplifiers

Autori: Arne Fischer-Bühner; Alberto Brihuega; Lauri Anttila; Manil Dev Gomony; Mikko Valkama
Pubblicato in: 2022 IEEE/MTT-S International Microwave Symposium - IMS 2022, 2022
Editore: IEEE
DOI: 10.1109/ims37962.2022.9865530

High-Precision Time-to-Digital Conversion for Calibration of Outphasing Radio Transmitters

Autori: Dhanashree Boopathy, Tze Hin Cheung, Andrei Spelman, Agnimesh Ghosh, Vesa Lampu, Lauri Anttila, Kari Stadius, Marko Kosunen, Jussi Ryynänen, Vishnu Unnikrishnan
Pubblicato in: 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS), Numero 26-28 June 2023, 2023
Editore: IEEE
DOI: 10.1109/newcas57931.2023.10198030

Reconfigurable Signal Processing and DSP Hardware Generator for 5G Transmitters

Autori: Agnimesh Ghosh; Andrei Spelman; Tze Hin Cheung; Dhanashree Boopathy; Vishnu Unnikrishnan; Vesa Lampu; Guixian Xu; Lauri Anttila; Kari Stadius; Marko Kosunen; Jussi Ryynänen
Pubblicato in: 2022 IEEE Nordic Circuits and Systems Conference (NorCAS), 2022
Editore: IEEE
DOI: 10.1109/norcas57515.2022.9934696

Peer reviewed articles (5)

Recursive Neural Network With Phase-Normalization for Modeling and Linearization of RF Power Amplifiers

Autori: Arne Fischer-Bühner, Lauri Anttila, Manil Dev Gomony, Mikko Valkama
Pubblicato in: IEEE Microwave and Wireless Technology Letters, Numero 34, 2024, Pagina/e 809-812, ISSN 2771-9588
Editore: IEEE
DOI: 10.1109/lmwt.2024.3393859

Phase-Normalized Neural Network for Linearization of RF Power Amplifiers

Autori: Arne Fischer-Bühner; Lauri Anttila; Manil Dev Gomony; Mikko Valkama
Pubblicato in: IEEE Microwave and Wireless Technology Letters, Numero Volume: 33, Numero: 9, 2023, Pagina/e 1357 - 1360, ISSN 2771-9588
Editore: IEEE
DOI: 10.1109/lmwt.2023.3290980

Reconfigurable Signal Processing and DSP Hardware Generator for 5G and Beyond Transmitters

Autori: Agnimesh Ghosh, Andrei Spelman, Tze Hin Cheung, Dhanashree Boopathy, Kari Stadius, Manil Dev Gomony, Mikko Valkama, Jussi Ryynänen, Marko Kosunen, Vishnu Unnikrishnan
Pubblicato in: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Numero Volume: 32, Numero: 1, 2023, Pagina/e 4 - 15, ISSN 1557-9999
Editore: IEEE
DOI: 10.1109/tvlsi.2023.3326159

Augmented Phase-Normalized Recurrent Neural Network for RF Power Amplifier Linearization

Autori: Arne Fischer-Bühner, Lauri Anttila, Matias Turunen, Manil Dev Gomony, Mikko Valkama
Pubblicato in: IEEE Transactions on Microwave Theory and Techniques, 2024, Pagina/e 1-0, ISSN 0018-9480
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmtt.2024.3484581

Sparsely Gated Mixture of Experts Neural Network For Linearization of RF Power Amplifiers

Autori: Arne Fischer-Bühner, Alberto Brihuega, Lauri Anttila, Matias Turunen, Vishnu Unnikrishnan, Manil Dev Gomony, Mikko Valkama
Pubblicato in: IEEE Transactions on Microwave Theory and Techniques, 2023, ISSN 0018-9480
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmtt.2023.3341616