David López

David López | CTTC

Adaptive Processing Technologies (ADAPT)

Phd , Researcher

Phone: +34 93 645 29 00

David Lopez Bueno received his MSc. degree in Telecommunications Engineering from the Universitat Politècnica de Catalunya (UPC) in 2005 and a Postgraduate certificate in Education (Mathematics) from the Universidad Complutense de Madrid (UCM) in 2007.

Between 2003 and 2006 he worked near 4 years as RF design engineer at Mier Comunicaciones and Alcatel Alenia Space España (now Thales Alenia Space España) participating in the design, implementation and validation of RF/uW modules and MMIC devices for satellite payloads (AMHERIS/AMAZONAS, TRMO, Galileo ISBT TTC Transponders and ICO G1 programmes).

By the end of 2006, he joined the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) as Research Engineer where he has contributed to several national and European publicly funded projects (MIMOWA, BuNGEE, BeFEMTO, GEDOMIS-ADCOMM, GRE3N, EMPhAtiC, Flex5Gware and HIPOCRATES-AEThER, from 2006 to 2018) by: i) building multi-band RF Transceivers and contributing to lab demonstrators validating 4G/5G MIMO OFDM-based schemes such as the GEDOMIS® testbed; ii) evaluating the coexistence between heterogeneous systems in spectrum sharing scenarios and the transceiver energy trade-offs; iii) conceiving wideband high-end modular radios; and iv) researching and designing digital linearization techniques, such as crest factor reduction (CFR) and digital predistortion (DPD), for wideband radio access and wireless backhaul infrastructure transmitters, and building the experimental demonstrators for RF/uW/mmW applications such as the SHAPER platform.

At CTTC, he has also been involved in industrial projects assessing the risk of interference between FS and FSS systems in rural Europe (ROSE-ERO, 2011) and, in the last years, aiming at researching and experimental benchmarking wideband PA linearization techniques and efficient transmitter architectures for backhaul equipment (DI-PRE-DATORS, 2012-2013), 5G radio access transmitters (5G-TRIDENT, FUTURETX, ITERATE, 2017-2020) and cable TV systems (DPD4CABLE, 2017-2018).

David is Researcher at CTTC’s PHYCOM department since 2013 and Coordinator of the Radio Technologies Laboratory since 2009. David is currently pursuing a PhD thesis in Machine Learning Techniques Applied to Digital Predistortion Linearization. He is IEEE member since 2013, IEEE Senior Member since 2018,  and regular reviewer of a number of IEEE journals.

More detailed information:

* David is leading the Mixed-signal processing for efficient 5G & beyond transmitters research line and the SHAPER digital linearization platform.  7 projects (3 competitive R&D projects, 4 industrial contracts) and about 20 publications have been carried out in the frame of this research line over the last 7 years. The use of machine learning techniques applied to digital linearization is gaining momentum over the last years and has motivated the Fast Prototyping of AI-Enhanced Solutions. All the applied research work is experimentally validated in the Radio Technologies Laboratory (nowadays Wireless Communication Lab) led by him.

* Education, scientific publications, role and work in competitive R&D and Technology Transfer projects, areas of specialization and expertise, lab coordination and demonstrators, event organization, student supervision, scientific reviews, recognition/awards and membership information, are all further detailed in his Linkedin profile.

* ORCID ID 0000-0002-9005-0532, Google Scholar, and ResearchGate profiles.



FPGA Implementation of a Linearization System for Wideband Envelope Tracking Power Amplifiers
Li W., Bartzoudis N., Fernandez, JR, López-Bueno D., Montoro G., Gilabert P.L.
10.1109/TMTT.2022.3217842 Google Scholar
Implementation of 5G Experimentation Environment for Accelerated Development of Mobile Media Services and Network Applications
Proceedings Of The 26th Conference On Innovation In Clouds, Internet And Networks, Icin 2023. pp. 153-160 January 2023.
Khalili, H., Kahvazadeh, S., Pajo, J.F., Frizzell, R., Castelli, A., Tolan, M., Markopoulos, I., Ribback, R., Erikstad, E., Nicholon, D., Ramantas, K., Christofi, L., Verikoukis, C.
10.1109/ICIN56760.2023.10073512 Google Scholar
Slow-Envelope Shaping Function FPGA Implementation for 5G NR Envelope Tracking PA
2022 International Workshop On Integrated Nonlinear Microwave And Millimetre-Wave Circuits, Inmmic 2022 - Proceedings. January 2022.
Li W., Bartzoudis N., Fernandez J.R., Lopez-Bueno D., Montoro G., Gilabert P.
10.1109/INMMiC54248.2022.9762194 Google Scholar
Training Data Selection and Dimensionality Reduction for Polynomial and Artificial Neural Network MIMO Adaptive Digital Predistortion
Lopez-Bueno, D., Montoro, G., Gilabert, P.L.
10.1109/TMTT.2022.3209214 Google Scholar
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