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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.
Click here [1] for visiting
his website
Book Chapters
D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S.
Stanczak (2020). Adaptive Learning for Symbol Detection [2].
Machine Learning for Future Wireless Communications. Wiley
& IEEE Press, 15.
R. L. G. Cavalcante and S. Stanczak and I. Yamada
(2014). Cooperative Cognitive Radios with Diffusion Networks [3].
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
D. A. Awan, Renato L.G. Cavalcante and Slawomir
Stanczak (2020). Robust Cell-Load Learning with a Small Sample Set
[4]. 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 [5]. 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 [6]. 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 [7]. 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 [8]. 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 [9]. 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 [10]. 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 [11]. 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 [12].
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 [13]. 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 [14].
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 [15]. 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 [16].
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
[17]. 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 [18]. 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 [19]. 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 [20]. 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 [21].
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 [22]. 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 [23]. 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 [24].
IEICE Trans. Fundamentals, vol. E87-A, no. 8, pp. 1973-1980, Aug.
2004
Conference, Symposium, and
Workshop Papers
Enhancing energy efficient network operation in
multi-RAT cellular environments through sparse optimization
Zitatschlüssel |
PCS13eeen |
Autor |
E.
Pollakis and R.L.G. Cavalcante and S. Stanczak |
Buchtitel |
Proc.
IEEE 14th Workshop on Signal Processing Advances in Wireless
Communications (SPAWC) |
Jahr |
2013 |
Adresse |
Darmstadt, Germany |
Monat |
jun |
Download Bibtex Eintrag
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Zurück [26]
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Contact
Dr. Renato L. G. Cavalcante
Fraunhofer Heinrich-Hertz-Institut
Einsteinufer 37
10587 Berlin
E-Mail-Anfrage [28]
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