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Dr. Renato L. G. Cavalcante

R. L. G. Cavalcante received the electronics engineering degree from the Instituto Tecnologico de Aeronautica (ITA), Brazil, in 2002, and the M.E. and Ph.D. degrees in Communications and Integrated Systems from the Tokyo Institute of Technology, Japan, in 2006 and 2008, respectively. From April 2003 to April 2008, he was a recipient of the Japanese Government (MEXT) Scholarship. He is currently a Research Fellow with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, Germany. Previously, he held appointments as a Research Fellow with the University of Southampton, Southampton, U.K., and as a Research Associate with the University of Edinburgh, Edinburgh, U.K.

Dr. Cavalcante received the Excellent Paper Award from the IEICE in 2006 and the IEEE Signal Processing Society (Japan Chapter) Student Paper Award in 2008. He also co-authored the study that received the 2012 IEEE SPAWC Best Student Paper Award. His current interests are in signal processing for distributed systems, multiagent systems, convex analysis, machine learning, and wireless communications.

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Book Chapters

Stańczak, Sławomir and Keller, Alexander and Cavalcante, Renato LG and Binder, Nikolaus (2021). Long-term Perspectives: Machine Learning for Future Wireless Networks. Shaping Future 6G Networks: Needs, Impacts, and Technologies. John Wiley & Sons.


D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S. Stanczak (2020). Adaptive Learning for Symbol Detection. Machine Learning for Future Wireless Communications. Wiley & IEEE Press, 15.


R. L. G. Cavalcante, S. Stanczak and I. Yamada (2014). Cooperative Cognitive Radios with Diffusion Networks. chapter Cognitive Radio and Sharing Unlicensed Spectrum in the book Mechanisms and Games for Dynamic Spectrum Allocation, Cambridge University Press, UK, 2014, 262-303.


Journal Publications

Adaptive filter algorithms for accelerated discrete-time consensus
Zitatschlüssel Renatoalgorith2010
Autor R. L. G. Cavalcante and B. Mulgrew
Jahr 2010
Journal IEEE Trans. Signal Processing, vol. 58, no. 3, pp. 1049-1058, March 2010
Jahrgang 58
Nummer 3
Monat March
Download Bibtex Eintrag

Conference, Symposium, and Workshop Papers

K. Komuro and M. Yukawa and R. L. G. Cavalcante (2021). Distributed Sparse Optimization: Towards Global Optimality using Weakly Convex Regularizers. Proc. IEICE Signal Processing Symposium


Ismayilov, Rafail and Cavalcante, Renato LG and Sta'nczak, Sławomir (2021). Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems. ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4115–4119.


Ismayilov, Rafail and Cavalcante, Renato LG and Sta'nczak, Sławomir (2021). Deep Learning Beam Optimization in Millimeter-Wave Communication Systems. 2021 IEEE Statistical Signal Processing Workshop (SSP), 581–585.


Komuro, Kei and Yukawa, Masahiro and Cavalcante, Renato LG (2021). Distributed Sparse Optimization With Minimax Concave Regularization. 2021 IEEE Statistical Signal Processing Workshop (SSP), 31–35.


Manjunath, Ramya Panthangi and Schubert, Martin and Cavalcante, RL G and Boban, Mate and Zhou, Chan and Sta'nczak, Sławomir (2021). Proactive Application Rate Requirement Adaptation Mechanism for Sidelinks. 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 1–6.


Agrawal, Navneet and Cavalcante, Renato LG and Sta'nczak, Sławomir (2021). Adaptive Estimation of Angular Power Spectra for Time-Varying MIMO Channels. 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 96–100.


D.F. Külzer, S. Stanczak, R. L.G. Cavalcante and M. Botsov (2020). Predictive Resource Allocation for Automotive Applications using Interference Calculus. IEEE Globecom 2020, December 7-11, in Taipei, Taiwan


R. L. G. Cavalcante, Q. Liao and S. Stanczak (2020). Connections between spectral properties of asymptotic mappings and solutions to wireless network problems. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, , May 4-8, 2020 in Barcelona, Spain


R. L. G. Cavalcante and S. Stanczak (2020). Channel covariance estimation in multiuser massive MIMO systems with an approach based on infinite dimensional hilbert spaces. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 4-8, 2020 in Barcelona, Spain


M. Mehlhose, D. A. Awan, R. L.G. Cavalcante, M. Kurras and S. Stanczak (2020). Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform. accepted, IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020


J. Fink, R. L.G. Cavalcante and S. Stanczak (2020). Online Channel Estimation for Hybrid Beamforming Architectures. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, 4-8 May 2020


R. L.G. Cavalcante and S. Stanczak (2020). Hybrid data and model driven algorithms for angular power spectrum estimation. IEEE GLOBECOM 2020, December 7 - 11, in Taipei, Taiwan


M. Mehlhose, D. A. Awan, R. L.G. Cavalcante, M. Kurras, S. Stanczak (2020). Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform. 45th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, May 4-8, 2020, Barcelona, Spain


R. L. G. Cavalcante and S. Stanczak (2020). A hybrid model-data driven approach for the estimation of the angular power spectrum in massive MIMO systems. IEEE Statistical Signal Processing Workshop 2020, Rio de Janeiro, Brazil, 12th-15th July, 2020 (to appear)


J. Fink, D. Schäufele, M. Kasparick, R. L.G. Cavalcante and S. Stanczak (2019). Cooperative localization by set-theoretic estimation. 23rd International ITG Workshop on Smart Antennas (WSA), Vienna, Austria, 24-26 April 2019


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Contact

Dr. Renato L. G. Cavalcante
Fraunhofer Heinrich-Hertz-Institut
Einsteinufer 37
10587 Berlin