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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

Book Chapters

Adaptive Learning for Symbol Detection
Citation key AwanBoo2020
Author D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S. Stanczak
Title of Book Machine Learning for Future Wireless Communications
Pages 15
Year 2020
DOI 10.1002/9781119562306.ch11
Location New York, United States
Month December
Editor Wiley & IEEE Press
Publisher Wiley & IEEE Press
Chapter 11
Abstract This chapter introduces a novel machine learning algorithm for symbol detection in multiuser environments. It considers a challenging multiuser uplink scenario in which the number of antennas available at the base station may be smaller than the number of active users. More specifically, the proposed method is an adaptive (nonlinear) receive filter that learns to detect symbols from data directly, without performing any intermediate estimation tasks (e.g. channel estimation). Furthermore, the method is robust against abrupt changes of the wireless environment. The proposed algorithms for symbol detection are based on the theory of reproducing kernel Hilbert spaces, which have been extensively used in diverse fields such as statistics, probability, signal processing, and machine learning, among others. It also discusses the adaptive learning method for symbol detection in multiuser environments.
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Journal Publications

D. A. Awan, Renato L.G. Cavalcante and Slawomir Stanczak (2020). Robust Cell-Load Learning with a Small Sample Set. IEEE Transactions on Signal Processing (TSP), 68:270-283.

R. L.G. Cavalcante, Q. Liao and S. Stanczak (2019). Connections between spectral properties of asymptotic mappings and solutions to wireless network problems. IEEE Transactions on Signal Processing, Feb. 2019

B.-S. Shin and M. Yukawa and R. L. G. Cavalcante and A. Dekorsy (2018). Distributed Adaptive Learning with Multiple Kernels in Diffusion Networks. IEEE Transactions on Signal Processing, 5505-5519.

R.L.G. Cavalcante and M. Kasparick and S. Stanczak (2017). Max-Min Utility Optimization in Load Coupled Interference Networks. IEEE Transactions on Wireless Communications, vol. 16, no. 2, pp. 705-716, Feb. 2017

Qi Liao and R. L. G. Cavalcante (2017). Improving Resource Efficiency with Partial Resource Muting for Future Wireless Networks. Proc. IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Oct. 2017

R.L.G. Cavalcante and S. Stanczak and J. Zhang and H. Zhuang (2016). Low complexity iterative algorithms for power estimation in ultra-dense load coupled networks. IEEE Trans. Signal Processing, vol. 64, no. 22, pp. 6058-6070, Nov. 2016

R.L.G. Cavalcante and Y. Shen and S. Stanczak (2016). Elementary Properties of Positive Concave Mappings With Applications to Network Planning and Optimization. IEEE Trans. Signal Processing, vol. 64, no. 7, pp. 1774-1783, April 2016

E. Pollakis and R.L.G. Cavalcante and S. Stanczak (2016). Traffic Demand-Aware Topology Control for Enhanced Energy-Efficiency of Cellular Networks. EURASIP Journal on Wireless Communications and Networks, vol. 2016, no. 1, pp. 1-17, Feb. 2016

M. Kasparick and R. L. G. Cavalcante and S. Valentin and S. Stanczak and M. Yukawa (2015). Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information. IEEE Transactions on Vehicular Technology, vol. 65, no. 7, pp. 5461-5473, July 2016 (also available at http://arxiv.org/abs/1404.0979)

R. Cavalcante and S. Stanczak and M. Schubert and A. Eisenblätter and U. Türke (2014). Toward Energy-Efficient 5G Wireless Communications Technologies. IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 24-34, Nov. 2014

M. Vasirani, R. Kota, R. L. G. Cavalcante, S. Ossowski and N. R. Jennings (2013). An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles. IEEE Transactions on Smart Grid , vol. 4, no. 3, pp. 1314-1322, Sept. 2013

R.L.G. Cavalcante and S. Stanczak (2013). A Distributed Subgradient Method for Dynamic Convex Optimization Problems under Noisy Information Exchange. IEEE Journal of Selected Topics in Signal Processing, vol. 7, no. 2, pp. 243-256, April 2013

R. L. G. Cavalcante, A. Rogers, N. R. Jennings and I. Yamada (2011). Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method. IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 4, pp. 739-753, Aug. 2011

R. L. G. Cavalcante and B. Mulgrew (2010). Adaptive filter algorithms for accelerated discrete-time consensus. IEEE Trans. Signal Processing, vol. 58, no. 3, pp. 1049-1058, March 2010

R. L. G. Cavalcante, I. Yamada, and B. Mulgrew (2009). An Adaptive Projected Subgradient Approach to Learning in Diffusion Networks. IEEE Trans. Signal Processing,vol. 57, no. 7, pp. 2762-2774, July 2009

R. L. G. Cavalcante and I. Yamada (2009). A flexible peak-to-average power ratio reduction scheme for OFDM systems by the adaptive projected subgradient method. IEEE Trans. Signal Processing, vol. 57, no. 4, pp. 1456-1468, April 2009

T. Piotrowski, R. L. G. Cavalcante, and I. Yamada (2009). Stochastic MV-PURE Estimator–-Robust Reduced-Rank Estimator for Stochastic Linear Model. IEEE Trans. Signal Processing, vol. 57, no. 4, pp. 1293-1303, April 2009

R. L. G. Cavalcante and I. Yamada (2008). Multiaccess interference suppression in orthogonal space-time block coded MIMO systems by the adaptive projected subgradient method. IEEE Trans. Signal Processing, vol. 56, no. 3, pp. 1028-1042, March 2008. (Award Winning Paper)

R. L. G. Cavalcante and I. Yamada (2008). Steady-state analysis of constrained normalized adaptive filters for MAI reduction by energy conservation arguments. Signal Processing, vol. 88, no. 2, pp. 326-338, Feb. 2008

M. Yukawa, R. L. G. Cavalcante, and I. Yamada (2005). Efficient blind MAI suppression in DS/CDMA systems by embedded constraint parallel projection techniques. IEICE Trans. Fundamentals, vol. E88-A, no. 8, pp. 2062-2071, Aug. 2005. (Award Winning Paper)

R. L. G. Cavalcante, I. Yamada, and K. Sakaniwa (2004). A fast blind multiple access interference reduction in DS/CDMA systems based on adaptive projected subgradient method. IEICE Trans. Fundamentals, vol. E87-A, no. 8, pp. 1973-1980, Aug. 2004

Conference, Symposium, and Workshop Papers

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), 4-8 May, 2020 in Barcelona, Spain

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 (accepted demo submission)

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 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

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), Calgary, AB, Canada, 15-20 April 2018

D. A. Awan, R. L.G. Cavalcante, Z. Utkovski and S. Stanczak (2018). Set-Theoretic Learning for Detection in Cell-Less C-RAN System. IEEE Global Conference on Signal and Information Processing, California, USA, Nov. 26-29, 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. A. 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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Contact

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