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ORCIDNuwanthika Rajapaksha
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2020 – today
- 2024
[j3]Nuwanthika Rajapaksha
, Jafar Mohammadi, Stefan Wesemann, Thorsten Wild, Nandana Rajatheva:
Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks With Asymmetric Loss. IEEE Trans. Veh. Technol. 73(5): 6600-6613 (2024)- [c5]Pasan Karunasena, Nandana Rajatheva, Nuwanthika Rajapaksha, Dilin Dampahalage, Dileepa Marasinghe, Matti Latva-aho:
Jointly-Mapped Reflection Modulation with Reconfigurable Intelligent Surfaces. ICC 2024: 581-586 - [c4]Nuwanthika Rajapaksha, Nandana Rajatheva, Matti Latva-aho:
Deep Learning-based Joint Pilot and Data Power Control in Cell-Free Massive MIMO Networks. VTC Fall 2024: 1-6 - 2023
- [j2]Mattia Merluzzi, Tamás Borsos, Nandana Rajatheva, András A. Benczúr, Hamed Farhadi, Taha Yassine, Markus Dominik Mueck, Sokratis Barmpounakis, Emilio Calvanese Strinati, Dilin Dampahalage, Panagiotis Demestichas, Pietro Ducange, Miltiadis C. Filippou, Leonardo Gomes Baltar, Johan Haraldson, Leyli Karaçay, Dani Korpi, Vasiliki Lamprousi, Francesco Marcelloni, Jafar Mohammadi, Nuwanthika Rajapaksha, Alessandro Renda, Mikko A. Uusitalo:
The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G. IEEE Access 11: 65620-65648 (2023) - [j1]Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho:
Unsupervised Learning-Based Joint Power Control and Fronthaul Capacity Allocation in Cell-Free Massive MIMO With Hardware Impairments. IEEE Wirel. Commun. Lett. 12(7): 1159-1163 (2023) - 2022
- [c3]Miltiadis C. Filippou, Vasiliki Lamprousi, Jafar Mohammadi, Mattia Merluzzi, Elif Ustundag Soykan, Tamás Borsos, Nandana Rajatheva, Nuwanthika Rajapaksha, Luc Le Magoarou, Pietro Piscione, András Benczúr, Quentin Lampin, Guillaume Larue, Dani Korpi, Pietro Ducange, Alessandro Renda, Hamed Farhadi, Johan Haraldson, Leonardo Gomes Baltar, Emilio Calvanese Strinati, Panagiotis Demestichas, Emrah Tomur:
Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective. AI6G@WCCI 2022 - 2021
- [c2]Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho:
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks. ICC 2021: 1-7 - [i2]Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho:
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks. CoRR abs/2102.10366 (2021) - 2020
- [c1]Nuwanthika Rajapaksha, Nandana Rajatheva, Matti Latva-aho:
Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems. VTC Spring 2020: 1-7
2010 – 2019
- 2019
- [i1]Nuwanthika Rajapaksha, Nandana Rajatheva, Matti Latva-aho:
Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems. CoRR abs/1911.08009 (2019)
Coauthor Index
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