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Dolores García 0001

Dolores García Martí

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affiliation: Universidad Carlos III de Madrid, IMDEA Networks Institute, Spain

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2020 – today

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2023
[j3]
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  - journals/tmc/GarciaLMPRW23
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Dolores García, Jesus Omar Lacruz, Pablo Jiménez Mateo, Joan Palacios, Rafael Ruiz, Joerg Widmer:
Scalable Phase-Coherent Beam-Training for Dense Millimeter-Wave Networks. IEEE Trans. Mob. Comput. 22(4): 2353-2369 (2023)
[c6]
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Jayaram Raghuram, Yijing Zeng, Dolores García, Rafael Ruiz, Somesh Jha, Joerg Widmer, Suman Banerjee:
Few-Shot Domain Adaptation For End-to-End Communication. ICLR 2023
[c5]
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Dolores García, Rafael Ruiz, Jesús Omar Lacruz, Joerg Widmer:
High-speed Machine Learning-enhanced Receiver for Millimeter-Wave Systems. INFOCOM 2023: 1-10
2022
[j2]
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Dolores García, Jesus Omar Lacruz, Damiano Badini, Danilo De Donno, Joerg Widmer:
Model-free machine learning of wireless SISO/MIMO communications. Comput. Commun. 181: 192-202 (2022)
2021
[c4]
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Dolores García Martí, Damiano Badini, Danilo De Donno, Joerg Widmer:
Scalable Machine Learning Algorithms to Design Massive MIMO Systems. MSWiM 2021: 167-171
[i1]
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  - journals/corr/abs-2108-00874
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Jayaram Raghuram, Yijing Zeng, Dolores García Martí, Somesh Jha, Suman Banerjee, Joerg Widmer, Rafael Ruiz Ortiz:
Domain Adaptation for Autoencoder-Based End-to-End Communication Over Wireless Channels. CoRR abs/2108.00874 (2021)
2020
[j1]
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Jesús Omar Lacruz, Dolores García, Pablo Jiménez Mateo, Joan Palacios, Joerg Widmer:
High-Speed Millimeter-Wave Mobile Experimentation on Software-Defined Radios. GetMobile Mob. Comput. Commun. 24(4): 39-42 (2020)
[c3]
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Dolores García, Jesus Omar Lacruz, Pablo Jiménez Mateo, Joerg Widmer:
POLAR: Passive object localization with IEEE 802.11ad using phased antenna arrays. INFOCOM 2020: 1838-1847
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Jesus Omar Lacruz, Dolores García, Pablo Jiménez Mateo, Joan Palacios, Joerg Widmer:
mm-FLEX: an open platform for millimeter-wave mobile full-bandwidth experimentation. MobiSys 2020: 1-13
[c1]
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Dolores García Martí, Joan Palacios Beltran, Jesús Omar Lacruz, Joerg Widmer:
A Mixture Density Channel Model for Deep Learning-Based Wireless Physical Layer Design. MSWiM 2020: 53-62

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