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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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Preprints

D.A. Awan and R. L.G. Cavalcante and S. Stanczak (2018). Robust and Low-Complexity Cell-Load Learning with a Small Sample Set. Preprint


R.L.G. Cavalcante and S. Stanczak (2017). Fundamental properties of solutions to utility maximization problems in wireless networks. Preprint (available at https://arxiv.org/abs/1610.01988v2)


Book Chapters

D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S. Stanczak (2019). Adaptive Learning for Symbol Detection: A Reproducing Kernel Hilbert Space Approach. Wiley, 2019, to appear


R. L. G. Cavalcante and 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, pages 262{303. Cambridge University Press, UK, 2014, 262–303.


Journal Publications

Toward Energy-Efficient 5G Wireless Communications Technologies
Citation key CSSET14twct0
Author R. Cavalcante and S. Stanczak and M. Schubert and A. Eisenblätter and U. Türke
Year 2014
Journal IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 24-34, Nov. 2014
Volume 31
Number 6
Month Nov.
Download Bibtex entry

Conference, Symposium, and Workshop Papers

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


R. Ismayilov, B. Holfeld, R. L.G. Cavalcante and M. Kaneko (2019). Power and Beam Optimization for Uplink Millimeter-Wave Hotspot Communication Systems. IEEE Wireless Communications and Networking Conference, 15-19 April 2019 in Marrakech, Morocco


Renato L.G. Cavalcante and Slawomir Stanczak (2019). Weakly standard interference mappings: existence of fixed points and applications to power control in wireless networks. International Conference on Acoustics, Speech, and Signal Processing, 12 - 17 May, 2019 in Brighton, UK


J. Fink and R. L.G. Cavalcante and S. Stanczak (2019). Multicast beamforming using semidefinite reflaxation and bounded perturbation resilience. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 12 - 17 May, 2019 in Brighton, UK (to appear)


D. Schäufele, R. L.G. Cavalcante and S. Stanczak (2019). Tensor Completion for Radio Map Reconstruction using Low Rank and Smoothness. IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)


J. Fink and R. L.G. Cavalcante and P. Jung and S. Stanczak (2018). Extrapolated Projection Methods for PAPR Reduction. 26th European Signal Processing Conference (EUSIPCO 2018), Sept. 2018


D. A. Awan and R.L.G. Cavalcante and M. Yukawa and S. Stanczak (2018). Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. IEEE International Conference on Communications (ICC), Kansas City, MO, USA.


L. Miretti and R.L.G. Cavalcante and S. Stanczak (2018). FDD massive MIMO channel spatial covariance conversion using projection methods. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)


D. A. Awan and R.L.G. Cavalcante and S. Stanczak (2018). A robust machine learning method for cell-load approximation in wireless networks. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta, Canada.


R. L. G. Cavalcante and L. Miretti and S. Stanczak (2018). Error Bounds for FDD Massive MIMO Channel Covariance Conversion with Set-Theoretic Methods. Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2018 (to appear)


R. L. G. Cavalcante and S. Stanczak (2018). Spectral radii of asymptotic mappings and the convergence speed of the standard fixed point algorithm. Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018


B.-S. Shin, M. Yukawa, R. L. G. Cavalcante, and A. Dekorsy (2018). A hybrid dictionary approach for distributed kernel adaptive filtering in diffusion networks. Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018


D. A. Awan, R. L.G. Cavalcante, Z. Utkovski and S. Stanczak (2018). Set-theoretic learning for detection in cell-less C-RAN systems. 6th IEEE Global Conference on Signal and Information Processing, California, USA, Nov. 26-18, 2018


L. Miretti, R. L.G. Cavalcante and S. Stanczak (2018). Downlink channel spatial coveriance estimation in realistic FDD massive MIMO systems. 6th IEEE Global Conference on Signal and Information Processing, Anaheim, California, USA, Nov. 26-29, 2018


M.A. Gutierrez-Estevez and R.L.G. Cavalcante and S. Stanczak (2018). Nonparametric Radio Maps Reconstruction via Elastic Net Regularization with Multi-Kernels. IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)


Renato L. G. Cavalcante and Slawomir Stanczak (2018). Low-complexity distributed set-theoretic decoders for analog fountain codes. 52nd Asilomar Conference on Signals, Systems and Computers 2018, Preprint.


R. L. G. Cavalcante and S. Stanczak (2017). The role of asymptotic functions in network optimization and feasibility studies. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 563-567.


R. L. G. Cavalcante and S. Stanczak (2017). Peak Load Minimization in Load Coupled Interference Networks. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)


M. A. Gutierrez-Estevez and R. L. G. Cavalcante and S. Stanczak and J. Zhang and H. Zhuang (2016). A Distributed Solution for Proportional Fairness Optimization in Load Coupled OFDMA Networks. IEEE Global Conference on Signal and Information Processing (GlobalSIP)


D. Amir Awan and R. L.G. Cavalcante and S. Stanczak (2016). Distributed RAN and backhaul optimization for energy efficient wireless networks. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington , D.C., USA.


R. L. G. Cavalcante and E. Pollakis and S. Stanczak (2014). Power estimation in LTE systems with the general framework of standard interference mappings. 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 818-822.


R.L.G. Cavalcante and E. Pollakis and S. Stanczak (2014). Load Estimation in LTE systems with the General Framework of Standard Interference Mappings. Proc. 2nd IEEE Global Conference on Signal and Information Processing (GlobalSIP)


K. Oltmann and R.L.G. Cavalcante and S. Stanczak (2013). Interference Identification in Cellular Networks via Adaptive Projected Subgradient Methods. Proc. the 47th Annual Asilomar Conference on Signals, Systems, and Computers


E. Pollakis and R.L.G. Cavalcante and S. Stanczak (2013). Enhancing energy efficient network operation in multi-RAT cellular environments through sparse optimization. Proc. IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)


S. Limmer and S. Stanczak and M- Goldenbaum and R.L.G. Cavalcante (2013). Exploiting Interference for Efficient Distributed Learning in Cluster-based Wireless Sensor Networks. Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP) - Network Theory Symposium


E. Pollakis and R. L. G. Cavalcante and S. Stanczak and F. Penna (2012). Robust Interference Identification for Multi-RAT Optimization in Wireless Cellular Networks. Proc. 2012 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)


S. Stanczak and M. Goldenbaum and R. L. G. Cavalcante and F. Penna (2012). On In-Network Computation via Wireless Multiple-Access Channels with Applications. Proc. the Ninth International Symposium on Wireless Communication Systems (ISWCS), 276–280.


E. Pollakis and R. L. G. Cavalcante and S. Stanczak (2012). Base station selection for energy efficient network operation with the majorization-minimization algorithm. Proc. IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)


R. L. G. Cavalcante and S. Stanczak (2012). Robust Set-Theoretic Distributed Detection in Diffusion Networks. Proc. 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)


J. Mohammadi and S. Stanczak and R. L. G. Cavalcante and J. Etesami (2011). Iterative Distributed Channel Probing for Cognitive Radios with Power-Controlled Wireless Links. Proc. 8th International Symposium on Wireless Communication Systems (ISWCS)


R.L.G. Cavalcante, A. Rogers, and N. R. Jennings (2011). Consensus acceleration in multi‐agent systems with the Chebyshev semi‐iterative method. Proc. 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), pp. 165-172, May 2011


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Dr. Renato L. G. Cavalcante
NetIT - Faculty IV
Institute HFT
Einsteinufer 25
10587 Berlin
+49(0)30 31002-858