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Biography

 I received the Electronics Engineer degree in 2002 from the Instituto Tecnológico de Aeronáutica (ITA), Brazil, 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 2008 to 2009 I was a Research Associate with the Institute for Digital Communications (IDCOM), the University of Edinburgh, and from 2009 to 2011 I was a Research Fellow with the School of Electronics and Computer Science, the University of Southampton. Currently, I am a group leader with the Fraunhofer Heinrich Hertz Institute and a lecturer at the Technical University of Berlin.

My current interests are in distributed digital signal processing, convex analysis, machine learning, wireless communications, and multiagent systems. I am serving as a Senior Area Editor for the IEEE Transactions on Signal Processing.

 Publication List

Book Chapters

• S. Stańczak, A. Keller, R. L. G. Cavalcante, N. Binder, and S. Velayutham, Long-term Perspectives: Machine Learning for Future Wireless Networks. IN: Shaping Future 6G Networks, E. Bertin, N. Crespi, and T. Magedanz , Eds. Wiley, 2021

• D. A. Awan, R. L. G. Cavalcante, M. Yukawa, and S. Stańczak, Adaptive Learning for Symbol Detection: A Reproducing Kernel Hilbert Space Approach. IN: Machine Learning for Future Wireless Communications, Fa-Long Luo, Ed. Wiley, 2020 

• R. L. G. Cavalcante, S. Stańczak, and I. Yamada, Cooperative Cognitive Radios with Diffusion Networks. IN: Mechanisms and Games for Dynamic Spectrum Allocation, Tansu Alpcan, Holger Boche, Michael Honig, H. Vincent Poor, Eds. Cambridge University Press, UK, 2014

Journal papers (peer reviewed)

• (new) R. L. G. Cavalcante, T. Piotrowski, and S. Stańczak, "Cellular, Cell-less, and Everything in Between: A Unified Framework for Utility Region Analysis in Wireless Networks," submitted [Download] 

• (new) L. Miretti, R. L. G. Cavalcante, and S. Stańczak, "Two-timescale joint power control and beamforming design with applications to cell-free massive MIMO," IEEE Trans. Wireless Comm., accepted for publication [Download] 

• Navneet Agrawal, Renato LG Cavalcante, Masahiro Yukawa, and Sławomir Stańczak, "Distributed Convex Optimization “Over-the-Air” in Dynamic Environments," IEEE Transactions on Signal and Information Processing over Networks, vol. 10, pp. 610-625, July 2024

• T. Piotrowski, R. L. G. Cavalcante, and M. Gabor, "Fixed points of nonnegative neural networks," Journal of Machine Learning Research (JMLR), vol. 24, no. 139, pp. 1-40, 2024 [Download] 

• T. Piotrowski, R. Ismayilov, M. Frey,  and R. L. G. Cavalcante, "Inverse Feasibility in Over-the-Air Federated Learning," IEEE Signal Proc. Letters, vol. 31, pp. 1434 - 1438, May 2024  [Download] 

• L. Miretti, R. L. G. Cavalcante, E. Björnson, and S. Stańczak, "UL-DL Duality for cell-free massive MIMO with per-AP power and information constraints," IEEE Trans. Signal Processing, Vol. 72, pp. 1750-1765, March 2024 [Download] 

• D. A. Awan, R. L. G. Cavalcante, M. Yukawa, and S. Stańczak, "Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach", IEEE Trans. Signal Processing,  vol. 71, pp. 2103--2117, June 2023

• Jochen Fink, Renato L. G. Cavalcante, and Slawomir Stańczak, "Superiorized Adaptive Projected Subgradient Method with Application to MIMO Detection", IEEE Trans. Signal Processing, vol. 71, pp. 1350--1362, March 2023[Download] 

• T. Piotrowski and R. L. G. Cavalcante, "The fixed point iteration of positive concave mappings converges geometrically if a fixed point exists: implications to wireless systems," IEEE Trans. Signal Processing, vol. 70, pp. 4697-4710, Sept. 2022 [Download] 

• K. Komuro, M. Yukawa, and R. L. G. Cavalcante, "Distributed Sparse Optimization with Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties towards Global Optimality," IEEE Trans. Signal Processing over Networks, vol. 8, pp. 514-527, June 2022

• M. Mehlhose, G. Marcus, D. Schäufele, D. A. Awan, N. Binder, M. Kasparick, R. L. G. Cavalcante, S. Stańczak, and A. Keller, "GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems,''  IEEE Access, vol. 10, pp. 70937-70946, June 2022   [Download]

• J. Fink, R. L. G. Cavalcante, and S. Stańczak, "Multi-Group Multicast Beamforming by Superiorized Projections onto Convex Sets," IEEE Trans. Signal Processing, vol. 69, pp. 5708--5722, 2021 [Download] 

• L. Miretti, R. L. G. Cavalcante, and S. Stańczak, "Channel covariance conversion and modelling using infinite dimensional Hilbert spaces," IEEE Trans. Signal Processing, vol. 69, pp. 3145--3159, May 2021

• D. A. Awan, R. L. G. Cavalcante, and S. Stańczak, "Robust Cell-Load Learning with a Small Sample Set," IEEE Trans. Signal Processing, vol. 68, no. 1, pp. 270-283, Dec. 2020

• R. L. G. Cavalcante, Qi Liao, and S. Stańczak, "Connections between spectral properties of asymptotic mappings and solutions to wireless network problems," IEEE Trans. Signal Processing , vol. 67, no. 10, pp. 2747-2760, May 2019 [Download]

• B.-S. Shin, M. Yukawa, R. L. G. Cavalcante, and A. Dekorsy, "Distributed Adaptive Learning with Multiple Kernels in Diffusion Networks," IEEE Trans. Signal Processing, vol. 66, no. 21, pp. 5505-5519 , Nov. 2018  [Download]

• R. L. G. Cavalcante, M. Kasparick, and S. Stańczak,  "Max-min utility optimization in load coupled interference networks," IEEE Trans. Wireless Comm., vol. 16, no. 2, pp. 705-716, Feb. 2017

• R. L. G. Cavalcante, S. Stańczak, J. Zhang, and H. Zhuang, "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, Y. Shen, S. Stańczak, "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  [Download]

• E. Pollakis, R. L. G. Cavalcante, and S. Stańczak, "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, 2016

• M. Kasparick, R. L. G. Cavalcante, S. Valentin, S. Stańczak, and M. Yukawa, "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 [Download]

• R. L. G. Cavalcante, S. Stańczak, M. Schubert, A. Eisenblätter, and U. Türke, "Toward Energy-Efficient 5G Wireless Communication Technologies," IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 24-34, Nov. 2014  [Download]

• Matteo Vasirani, Ramachandra Kota, Renato L. G. Cavalcante, Sascha Ossowski, and Nicholas R. Jennings, "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, "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 [Download]

• R. L. G. Cavalcante, A. Rogers, N. R. Jennings, and I. Yamada, "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  [Download version with corrections]

• R. L. G. Cavalcante and B. Mulgrew, "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, "An Adaptive Projected Subgradient Approach to Learning in Diffusion Networks,” IEEE Trans. Signal Processing,vol. 57, no. 7, pp. 2762-2774, July 2009.  [Download]

• R. L. G. Cavalcante and I. Yamada, "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, "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, "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, "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, "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, "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 papers (peer reviewed)

• (new) Daniel Schäufele, Jochen Fink, Renato L. G. Cavalcante, and Sławomir Stańczak, "Digital Post-Distortion Architectures for Nonlinear Power Amplifiers: Volterra and Kernel Methods," in Proc. Workshop on Smart Antennas (WSA), 2025

• J. Fink, R. L. G. Cavalcante, and S. Stańczak, "Linear Phase Beampattern Design with Set-theoretic Methods," in Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2024

• R. Ooi, R. Diab, L. Miretti, R. L. G. Cavalcante, and S. Stańczak, "Joint power control, beamforming, and sleep-mode selection for energy-efficient cell-free networks using surrogate machine learning models," in Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2024

• R. Ismayilov, R. L. G. Cavalcante, and S. Stańczak, "Localization in Dynamic Indoor MIMO-OFDM Wireless Systems using Domain Adaptation," in Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2024 [Download] 

• N. Kaneko, M. Yukawa, R. L. G. Cavalcante, and L. Miretti, "Robust Estimation of Angular Power Spectrum in Massive MIMO Under Covariance Estimation Errors: Learning Centers and Scales of Gaussians," in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Sept. 2024

• M. Gabor, T. Piotrowski, and R. L. G. Cavalcante, “Positive concave deep equilibrium models,” in Proc. International Conference on Machine Learning (ICML), July 2024 [Download] 

• R. Hernangómez, J. Fink, R. L. G. Cavalcante, Z. Utkovski, and S. Stańczak, “Optimized detection with analog beamforming for monostatic integrated sensing and communication,” in Proc. IEEE  International Conference on Communications (ICC), June 2024

• N. Agrawal, E. Tohidi, R. L. G. Cavalcante, and S. Stańczak, “Towards bridging the gap between near and far-field characterizations of the wireless channel,” in Proc. IEEE  International Conference on Communications (ICC), May 2024

• N. Agrawal, R. L. G. Cavalcante, and S. Stańczak, “Distributed Fixed-Point Algorithms for Dynamic Convex Optimization over Decentralized and Unbalanced Wireless Networks,” in Proc. Workshop on Smart Antennas (WSA), March 2024

• T. Ichinose, M. Yukawa, R. L. G. Cavalcante, “Online Kernel-Based Quantile Regression Using Huberized Pinball Loss,” EUSIPCO 2023

• J. Fink, R. L. G. Cavalcante, Z. Utkovski, and S. Stańczak, "Deep-unfolded adaptive projected subgradient method for MIMO detection,"  in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2023

• N. Agrawal, R. L. G. Cavalcante, and S. Stańczak, "Dynamic Distributed Convex Optimization "Over-the-Air" in Decentralized Wireless Networks," in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2023 

• R. L. G. Cavalcante, L. Miretti,  and S. Stańczak, "Characterization of the weak Pareto boundary of resource allocation problems in wireless networks -- Implications to cell-less systems," in Proc. IEEE  International Conference on Communications (ICC), May 2023  [Download] 

• L. Miretti, R. L. G. Cavalcante, and E. Björnson, "UL-DL duality for cell-free networks under per-AP power and information constraints," in Proc. IEEE  International Conference on Communications (ICC), May 2023

• L. Miretti, R. L. G. Cavalcante, and S. Stańczak, "Joint optimal beamforming and power control in cell-free massive MIMO," in Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2022 [download] 

• Kei Komuro, Masahiro Yukawa, and Renato L. G. Cavalcante, "Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality," in Proc. European Signal Processing Conference (EUSIPCO), Aug. 2022

• L. Miretti, R. L. G. Cavalcante, S. Stańczak, M. Schubert, R. Böhnke, and W. Xu, "Closed-form max-min power control for some cellular and cell-free massive MIMO networks," in Proc. IEEE Vehicular Technology Conference (VTC-Spring), June 2022 [Download] 

• J. Fink, R. L. G. Cavalcante, Z. Utkovski, and S. Stańczak, "A set-theoretic approach to MIMO detection," in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022

• R. P. Manjunath, M. Boban, R. L. G. Cavalcante, C. Zhou, and S. Stańczak, "Mechanisms for the Estimation of Prediction Intervals in Vehicular Communication Scenarios," in Proc. IEEE  International Conference on Communications (ICC),  May 2022

• D. F. R. Rojas, M. Kasparick, R. L. G. Cavalcante, and S. Stańczak, "SON function coordination in campus networks using machine learning," in Proc. IEEE Wireless Communications and Networking Conference (WCNC), April 2022

• N. Agrawal, R. L. G. Cavalcante, and S. Stańczak, "Adaptive estimation of angular power spectra for time-varying MIMO channels," in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Sept. 2021

• R. P. Manjunath, M. Schubert, R. L. G. Cavalcante, M. Boban, C. Zhou, and S. Stańczak, ``Proactive Application Rate Requirement Adaptation Mechanism for Sidelinks,'' in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) -- Workshop on taking verticals from 5G towards 6G, 2021

• R. Ismayilov, R. L. G. Cavalcante, and S. Stańczak, "Deep learning beam optimization in millimeter-wave communication systems", in Proc. IEEE Statistical Signal Processing Workshop, July 2021

• K. Komuro, M. Yukawa, and R. L. G. Cavalcante, "Distributed sparse optimization with minimax concave regularization," in Proc. IEEE Statistical Signal Processing Workshop, July 2021

• R. Ismayilov, R. L. G. Cavalcante, and S. Stańczak, "Deep learning based hybrid precoding in dual-band communication systems," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2021

• R. L. G. Cavalcante and S. Stańczak, "Hybrid data and model driven algorithms for angular power spectrum estimation," in Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2020 [Download]

• D. F. Külzer, S. Stańczak, R. L. G. Cavalcante, and M. Botsov, "Predictive resource allocation for automotive applications using interference calculus," in Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2020

• M. Mehlhose, D. A. Awan, R. L. G. Cavalcante, M. Kurras, S. Stańczak, "Machine learning-based adaptive receive filtering: proof-of-concept on an SDR platform," in  Proc. IEEE International Conference on Communications (ICC), June 2020 [Download]

• R. L. G. Cavalcante and S. Stańczak, "Channel covariance estimation in multiuser massive MIMO systems with an approach based on infinite dimensional Hilbert spaces," in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020 [Download]

• J. Fink, R. L. G. Cavalcante, and S. Stańczak, "Online channel estimation for hybrid beamforming architectures," in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020

• D. Schäufele, R. L. G. Cavalcante, and S. Stańczak, "Tensor completion for radio map reconstruction using low rank and smoothness," in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), July 2019 

• R. L. G. Cavalcante and S. Stańczak, "Weakly standard interference mappings: existence of fixed points and applications to power control in wireless networks," in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019

• J. Fink, R. L. G. Cavalcante, and S. Stańczak, "Multicast beamforming using semidefinite relaxation and bounded perturbation resilience," in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019

• J. Fink, D. Schaufele, M. Kasparick, R. L. G. Cavalcante, and S. Stańczak, "Cooperative localization by set-theoretic estimation," in Proc. Workshop on Smart Antennas (WSA), April 2019

• R. Ismayilov, B. Holfeld, R. L. G. Cavalcante, and M. Kaneko, "Power and beam optimization for uplink millimeter-wave hotspot communication systems," in Proc. IEEE  Wireless Communications and Networking Conference (WCNC), April 2019 [Download]

• R. L. G. Cavalcante, L. Miretti, and S. Stańczak, "Error bounds for FDD massive MIMO channel covariance conversion with set-theoretic methods," in Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2018  [Download]

• L. Miretti, R. L. G. Cavalcante, and S. Stańczak, "Downlink channel spatial covariance estimation in realistic FDD massive MIMO systems," in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), p. 161-165, Nov. 2018   [Download]

• D. A. Awan,  R. L. G. Cavalcante, Z. Utkovski, and S. Stańczak, "Set-theoretic learning for detection in cell-less C-RAN systems," in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), p. 589-593, Nov. 2018 

• R. L. G. Cavalcante, S. Stańczak, D. Schupke, and J. Klaue, "Low-complexity distributed set-theoretic decoders for analog fountain codes," in Proc. Asilomar Conference on Signals, Systems, and Computers, Oct. 2018

• J. Fink, R. L. G. Cavalcante, P. Jung, and S. Stańczak, "Extrapolation projection methods for PAPR reduction,"  in Proc. European Signal Processing Conference (EUSIPCO), Sept. 2018 

• M. A. Gutierrez-Estevez, R. L. G. Cavalcante, and S. Stańczak, "Nonparametric radio map reconstruction via elastic net regularization with multi-kernels," in  Proc. IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), June 2018

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

• L. Miretti, R. L. G. Cavalcante, and S. Stańczak, "FDD massive MIMO channel spatial covariance conversion using projection methods," in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018  [Download]

• D. A. Awan,  R. L. G. Cavalcante, and S. Stańczak, "A robust machine learning method for cell-load approximation in wireless networks," in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018  [Download]

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

• D. A. Awan,  R. L. G. Cavalcante, M. Yukawa, and S. Stańczak, "Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach," in  Proc. IEEE International Conference on Communications (ICC) May 2018  [Download]

• R. L. G. Cavalcante and S. Stańczak, "The role of asymptotic functions in network optimization and feasibility studies," in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 563-567, Nov. 2017 [Download]

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

• R. L. G. Cavalcante and S. Stańczak, "Peak load minimization in load coupled interference networks," in  Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2017

• M. A. Gutierrez-Estevez, R. L. G. Cavalcante, S. Stanczak, J. Zhang, H. Zhuang, "A Distributed Solution for Proportional Fairness Optimization in Load Coupled OFDMA Networks," in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP' 16), Dec. 2016

• D. A. Awan, R. L.G. Cavalcante, S. Stanczak, "Distributed RAN and backhaul optimization for energy efficient wireless networks," in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP' 16), Dec. 2016

• R. L. G. Cavalcante, E. Pollakis, and S. Stańczak, "Power Estimation in LTE Systems with the General Framework of Standard Interference Mappings,"  in Proc. 2nd IEEE Global Conference on Signal and Information Processing (GlobalSIP' 14), pp. 818-822, Dec. 2014 (invited paper) [Download]

• S. Limmer, S. Stańczak, M. Goldenbaum, and R. L. G. Cavalcante, "Exploiting Interference for Efficient Distributed Computation in Cluster-based Wireless Sensor Networks," in Proc. 1st IEEE Global Conference on Signal and Information Processing (GlobalSIP '13), Dec. 2013 (invited paper).

• K. Oltmann, R. L. G. Cavalcante,  S. Stańczak, and M. Kasparick, "Interference Identification in Cellular Networks via Adaptive Projected Subgradient Methods," in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Nov. 2013 

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

• E. Pollakis, R. L. G. Cavalcante, S. Stańczak, and F. Penna, "Robust Interference Identification for Multi-RAT optimization in Wireless Cellular Networks," in Proc. IEEE Dynamic Spectrum Access Networks (DySPAN), October 2012

• S. Stańczak, M. Goldenbaum, R. L. G. Cavalcante, and F. Penna, "On In-Network Computation via Wireless Multiple-Access Channels with Applications," in  Proc. 9th International Symposium on Wireless Communication Systems (ISWCS 2012), Aug. 2012 (invited paper)

• E. Pollakis, R. L. G. Cavalcante, and S. Stańczak, "Base station selection for energy efficient network operation with the majorization-minimization algorithm," in  Proc. IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), June 2012 [Download] (Award Winning Paper)

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

• J. Mohammadi, S. Stańczak, R. L. G. Cavalcante, and J. Etesami,"Iterative Distributed Channel Probing for Cognitive Radios with Power-Controlled Wireless Links," in Proc. 8th International Symposium on Wireless Communication Systems (ISWCS'11 ), Nov. 2011

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

• M. Vasirani, R. Kota, R. L. G. Cavalcante, S. Ossowski,  and N. R. Jennings, " Using coalitions of wind generators and electric vehicles for effective energy market participation," in  Proc. 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), pp. 1099-1100, May 2011. (extended abstract)

• R.L.G. Cavalcante, A. Rogers, N. Jennings, and I. Yamada, “Distributed Multiagent Learning with a Broadcast Adaptive Subgradient Method,” in Proc.  9th  Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), pp. 1039-1046, May 2010. [Download]

• R. L. G. Cavalcante, I. Yamada, and B. Mulgrew, "Learning in diffusion networks with an adaptive projected subgradient method," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),  2009.

• R.  L.  G. Cavalcante and I. Yamada,   "Peak-to-average power ratio reduction in OFDM systems by the adaptive projected subgradient method," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),  pp. 3061-3064, March-April 2008.

• R.  L.  G. Cavalcante and I. Yamada, " Multiaccess interference reduction in OSTBC-MIMO systems by  adaptive projected subgradient method," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),  vol. 3, pp. 1253-1256, April 2007.

• I. Yamada, K. Slavakis, M. Yukawa, and R. L. G. Cavalcante, "Adaptive projected subgradient method and its applications to robust signal processing,'' in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), May 2006. (invited paper)

• R.  L.  G. Cavalcante and I. Yamada, "Steady-state performance of constrained normalized adaptive filters for CDMA systems'', in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol.  3, May 2006.

• R.  L.  G. Cavalcante, M. Yukawa, and I. Yamada, "Set-theoretic DS/CDMA receivers for fading channels by adaptive projected subgradient method,''  in Proc. IEEE Global Telecommunications Conference (GLOBECOM), vol 4, pp. 2270-2275, Dec. 2005.

•  M. Yukawa, R.  L.  G. Cavalcante, and I. Yamada, "Efficient adaptive blind MAI suppression in DS/CDMA by embedded constraint parallel projection techniques," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol 3, pp. 929-932, March 2005.

• R.  L.  G. Cavalcante, I. Yamada, and K. Sakaniwa, "A fast blind multiple access interference reduction in DS/CDMA systems by adaptive projected subgradient method,'' in Proc. European Signal Processing Conference (EUSIPCO),  Sep. 2004.

Tutorials/talks

• R. L. G. Cavalcante, "From classical ML to deep learning - Hybrid model- and data-driven solutions for radio access networks," Berlin 6G Conference, July 2025

• R. L. G. Cavalcante, "Scalable resource allocation and energy efficiency in distributed MIMO systems," Berlin 6G Conference, July 2025

• R. L. G. Cavalcante, "Mathematical foundations of resource allocation: unlocking new insights for enhancing neural networks," 6G-RIC Advisory Board Meeting, October 2024

• R. L. G. Cavalcante, "Energy efficiency in wireless networks -- harnessing the power of hybrid model-based and data-driven approaches," 6G Expert Days by Rohde & Schwarz, April 2024

• R. L. G. Cavalcante, "Convergence of fixed point iterations of positive concave mappings with applications to the design of machine learning algorithms," Workshop on Mathematical Foundations of Machine Learning, Sept. 2023

• R. L. G. Cavalcante, "Fixed point algorithms for resource allocation in wireless networks," Fraunhofer ITWM, workshop on Outcome Evaluation and Pricing in Superiorization and in Multiobjective Optimization, July 2023

• R. L. G. Cavalcante, "Monotonic and weakly scalable mappings in wireless systems," IEICE Signal Processing Symposium,  Nov. 2021 [Link] 

• R. L. G. Cavalcante, "Projection methods in communication systems," Fraunhofer ITWM, webinar on Projection Methods in Feasibility, Superiorization and Optimization - Theory and Practice, July 2020

• R. L. G. Cavalcante and S. Stańczak, "Robust machine learning in 5G radio access networks: requirements, challenges, theory, and promising approaches," International Symposium on Wireless Communication Systems, Aug. 2019

• R. L. G. Cavalcante, "Challenges and opportunities in machine learning and data analytics for network monitoring and QoE assurance," International Telecommunications Union (ITU) Workshop on Telecommunication Service Quality Regulatory Frameworks and Experience-Driven Networking, Nov. 2018

• R. L. G. Cavalcante, "Machine learning tools for highly dynamic wireless environments,'' International Telecommunication Union (ITU) Workshop on Machine Learning for 5G and Beyond, Aug. 2018

• R. L. G. Cavalcante and S. Stańczak, "Machine Learning in 5G Radio Access Networks," 8th FOKUS FUSECO Forum, Nov. 2017

• S. Stańczak and R. L. G. Cavalcante, "Applications of Perron-Frobenius Theory and Convex Optimization to Radio Resource Management in Wireless Communication Networks,'' European Wireless 2012, Apr. 2012. 

Misc. (not peer-reviewed work or unpublished)

• Günther Bräutigam, Renato L. G. Cavalcante, Martin Kasparick, Alexander Keller, and Slawomir Stanczak, "AI and open interfaces: Key enablers for campus networks," ITU News Magazine - AI and Machine Learning in 5G, no. 5, p. 55, December 2020

• R. L. G. Cavalcante and S. Stańczak,  "Performance Limits of Solutions to Network Utility Maximization Problems,"  [Download]

• R. L. G. Cavalcante and S. Stańczak,  "Fundamental properties of solutions to utility maximization problems in wireless networks," [Download]

• R. L. G. Cavalcante and I. Yamada, “PAPR reduction in OFDM systems by the adaptive projected subgradient method,” in Proc. IEICE SIP, Nov. 2007

•  T. Piotrowski, R. L. G. Cavalcante, and I Yamada, “An application of the MV-PURE estimator to robust detection problem in multiaccess MIMO wireless systems,” in Proc. IEICE SIP, Nov. 2007

• R.  L. G. Cavalcante and I. Yamada, “MAI mitigation in OSTBC-MIMO systems by adaptive projected subgradient method”, in Proc. IEICE SIP, Nov. 2006 .

• R.  L. G. Cavalcante and I. Yamada, "Steady-state analysis of  constrained-type adaptive filters for CDMA systems,'' in Proc. IEICE SIP, Nov. 2005.

• R.  L. G. Cavalcante, M. Yukawa, and I. Yamada, "Blind and nonblind DS/CDMA receivers by adaptive projected subgradient method,'' in Proc. SITA, vol. II, pp. 685--688, Nov. 2005.

• M. Yukawa, R. L. G. Cavalcante, and Isao Yamada, "Efficient blind DS/CDMA receivers by embedded constraint adaptive parallel projection techniques," in Proc. IEICE SIP, Nov. 2004.

• R. L. G. Cavalcante, M. Yukawa, and I. Yamada, "An efficient receiver for multipath BPSK-DS/CDMA systems by adaptive projected subgradient method," in Proc. IEICE SIP, Nov. 2004.

• R. L. G. Cavalcante, I. Yamada, and  K. Sakaniwa, "A blind multiple access interference reduction in DS/CDMA systems based on adaptive projected subgradient method,'' in Proc. IEICE SIP, Nov. 2003.