Inhalt des Dokuments
[1]- © TU
Berlin/Pressestelle/Philipp Arnoldt
Slawomir Stanczak studied
electrical engineering with specialization in control theory at the
Wroclaw University of Technology and at the Technical University of
Berlin (TU Berlin). He received the Dipl.-Ing. degree in 1998 and the
Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003,
both from TU Berlin; the Habilitation degree (venialegendi) followed
in 2006. Since 2015, he has been a Full Professor for network
information theory with TU Berlin and the head of the Wireless
Communications and Networks department.
Prof. Stanczak is a co-author of two books and more than 200
peer-reviewed journal articles and conference papers in the area of
information theory, wireless communications, signal processing and
machine learning. He was an Associate Editor of the IEEE Transactions
on Signal Processing between 2012 and 2015.
Since February 2018 Prof. Stanczak has been the chairman of the ITU-T
focus group on machine learning for future networks including
5G.
Teaching
- Winter
2019/20
- VL Fundamentals of Digital Wireless
Communication (Prof. Dr.-Ing. Slawomir Stanczak)
- VL
Mathematical Introduction to Machine Learning (Dr. rer. nat. Igor
Bjelakovic)
- Summer
2019
- VL Theory and Algorithms of
Machine Learning (Prof. Dr.-Ing. Slawomir Stanczak)
- VL Modern
Signal Processing and Communications (Dr. Renato L.G.
Cavalcante)
- VL Selected Topics in Wireless Communications and
Networking (Dr. Zoran
Utkovski)
- Winter
2018/19
- VL Fundamentals of Digital Wireless
Communication (Prof. Dr.-Ing. Slawomir Stanczak)
- VL
Mathematical Introduction to Machine Learning (Dr. rer. nat. Igor
Bjelakovic)
- Summer
2018
- VL Mathematical Methods in
Signal Processing and Communications (Prof. Dr.-Ing.
S.Stanczak)
- VL Modern Signal Processing for Communications
(Dr. R.
Cavalcante)
- Winter
2017/18
- VL Fundamentals of Digital Wireless
Communication
- VL Selected topics in Wireless Network
Optimization
- Summer
2017
- VL Mathematical Methods in
Signal Processing and Communications
- VL Modern Signal
Processing for Communications
- Winter
2016/17
- VL Fundamentals of Digital Wireless
Communication
- VL Selected topics in Wireless Network
Optimization
- Summer
2016
- VL Wireless Network Analysis
and Optimization
- VL Modern Signal Processing for
Communications
- Winter
2015/16
- VL Mathematical Methods in
Signal Processing and Communications
- SE Selected Topics in
Wireless Network
Optimization
- Summer
2015
- VL Cross-Layer Optimization and Resource
Allocation in Wireless
Networks
- Winter
2014/15
- VL Foundations of Digital and
Wireless Communication
You can also find
me on:
Fraunhofer
Heinrich-Hertz-Institut
Google Scholar [2]
arXiv
[3]
LinkedIn [4]
Publications
[5]
Books
S. Stanczak and M. Wiczanowski and H. Boche
(2009). Fundamentals of Resource Allocation in Wireless Networks [6].
volume 3 of Foundations in Signal Processing, Communications and
Networking. Springer, Berlin, 2009. Springer, Berlin.
S. Stanczak and M. Wiczanowski and H. Boche
(2006). Resource Allocation in Wireless Networks - Theory and
Algorithms [7]. Lecture Notes in Computer Science (LNCS 4000).
Springer, Berlin, 2006. Springer, Berlin.
Book
Chapters
D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S.
Stanczak (2020). Adaptive Learning for Symbol Detection [8].
Machine Learning for Future Wireless Communications. Wiley
& IEEE Press, 15.
S. Maghsudi and S. Stanczak (2015).
Communications in Interference-Limited Networks [9]. chapter
Distributed Channel Selection for Underlay Device-to-Device
Communications: A Game- Theoretical Learning Framework. Springer
International Publishing, 2015. Springer International
Publishing.
M. Goldenbaum and S. Stanczak and H. Boche
(2015). Communications in Interference-Limited Networks [10].
chapter Interference-Aware Analog Computation over the Wireless
Channel: Fundamentals and Strategies. Springer International
Publishing, 2015. Springer International Publishing.
R. L. G. Cavalcante and S. Stanczak and I. Yamada
(2014). Cooperative Cognitive Radios with Diffusion Networks [11].
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.
S. Stanczak and H. Boche (2005). Towards a better
understanding of the QoS tradeoff in multiuser multiple antenna
systems [12]. Smart Antennas–State-of-the-Art. Hindawi
Publishing Corporation, 521-543.
Journal
Publications
Joint Channel Selection and Power Control in
Infrastructureless Wireless Networks: A Multiplayer Multiarmed Bandit
Framework
| Citation key |
MS13firstj |
| Author |
S.
Maghsudi and S. Stanczak |
| Pages |
4565-4578 |
| Year |
2015 |
| Journal |
IEEE
Trans. Veh. Technol. |
| Volume |
64 |
| Number |
10 |
| Month |
Oct. |
Download Bibtex entry
[13]
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Conference, Symposium, and
Workshop Papers
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M. A. Gutierrez-Estevez, Z. Utkovski, P.
Agostini, D. Schäufele, M. Frey, I. Bjelakovic and S. Stanczak
(2020). Quality-of-Service prediction for physical-layer security via
secrecy maps [20]. 45th International Conference on Acoustics,
Speech, and Signal Processing, ICASSP 2020 in Barcelona, Spain, May
4-8 2020
R. L. G. Cavalcante, Q. Liao and S. Stanczak
(2020). Connections between spectral properties of asymptotic mappings
and solutions to wireless network problems [21]. accepted, 45th
International Conference on Acoustics, Speech, and Signal Processing,
ICASSP 2020 in Barcelona, Spain, May 4-8 2020
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 [22].
accepted, 45th International Conference on Acoustics, Speech, and
Signal Processing, ICASSP 2020 in Barcelona, Spain, May 4-8
2020
J. Dommel, Z. Utkovski, S. Stanczak and O.
Simeone (2020). Joint source-channel coding and bayesian message
passing detection for grant-free radio access in IOT [23]. 45th
International Conference on Acoustics, Speech, and Signal Processing,
(to appear), Barcelona, Spain, May 4-8 2020
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 [24]. accepted,
IEEE International Conference on Communications (ICC), Dublin,
Ireland, 2020
J. Fink, M. Kasparick and S. Stanczak (2020).
Robust Submodular RRH Selection for Joint Multicast Downlink
Transmission [25]. 24th International ITG Workshop on Smart
Antennas (WSA 2020), Hamburg, Germany, 18-20 Feb. 2020, (to
appear)
J. Fink, R. L.G. Cavalcante and S. Stanczak
(2020). Online Channel Estimation for Hybrid Beamforming Architectures
[26]. International Conference on Acoustics, Speech, and Signal
Processing (ICASSP 2020), 4-8 May 2020, Barcelona, Spain (to
appear)
A. Pfadler, P. Jung and S. Stanczak (2020).
Pulse-Shaped OTFS for V2X Short-Frame Communication with Tuned One-Tap
Equalization [27]. 24th International ITG Workshop on Smart
Antennas, Poster presentation, February 18-20, 2020 in Hamburg,
Germany
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 [28]. 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 [29]. IEEE Statistical
Signal Processing Workshop 2020, Rio de Janeiro, Brazil, 12th-15th
July, 2020 (to appear)
J. Dommel, Z. Utkovski, O. Simeone and S.
Stanczak (2020). Joint Source-Channel Coding for Grant-Free Radio
Access in IoT Fog Networks: Edge vs Cloud Processing [30]. IEEE
Statistical Signal Processing Workshop 2020, Rio de Janeiro, Brazil,
12th-15th July, 2020 (to appear)
R. Hernangómez and A. Santra and S. Stanczak
(2019). Human Activity Classification with Frequency Modulated
Continuous Wave Radar Using Deep Convolutional Neural Networks [31].
RADAR 2019 International Conference, 23-27 Sept. 2019, Toulon,
France
I. Bjelakovic, M. Frey and S. Stanczak (2019).
Distributed Approximation of Functions over Fast Fading Channels with
Applications to Distributed Learning and the Max-Consensus Problem
[32]. 57th Annual Allerton Conference on Communication, Control,
and Computing, 24-27 Sept. 2019 in Urbana, IL, USA
J. Fink and D. Schäufele and M. Kasparick and R.
L.G. Cavalcante and S. Stanczak (2019). Cooperative localization by
set-theoretic estimation [33]. 23rd International ITG Workshop on
Smart Antennas (WSA), April 24-26, 2019 in Vienna, Austria
Ramya Panthangi Manjunath and Mate Boban and Chan
Zhou and Slawomir Stanczak (2019). Using Learning Methods for V2V Path
Loss Prediction [34]. Phy & Fundamentals of the IEEE WCNC
2019 conference, in Marrakech, Morocco, April 15-18
Renato L.G. Cavalcante and Slawomir Stanczak
(2019). Weakly standard interference mappings: existence of fixed
points and applications to power control in wireless networks [35].
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 [36]. International Conference on
Acoustics, Speech and Signal Processing (ICASSP), 12 - 17 May, 2019 in
Brighton, UK
N. Agrawal, M. Frey and S. Stanczak (2019). A
Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks [37].
IEEE 20th International Workshop on Signal Processing Advances in
Wireless Communications (SPAWC), 2-5 July 2019, Cannes,
France
Z. Utkovski, P. Agostini, M. Frey, I. Bjelakovic
and S. Stanczak (2019). Learning Radio Maps for Physical-Layer
Security in the Radio Access [38]. IEEE 20th International
Workshop on Signal Processing Advances in Wireless Communications
(SPAWC), 2-5 July 2019, Cannes, France
D. Schäufele, R. L.G. Cavalcante and S. Stanczak
(2019). Tensor Completion for Radio Map Reconstruction using Low Rank
and Smoothness [39]. IEEE 20th International Workshop on Signal
Processing Advances in Wireless Communications (SPAWC)
R. Panthangi Manjunath, M. Boban, C. Zhou and S.
Stanczak (2019). Online Learning Framework for V2V Link Quality
Prediction [40]. IEEE GLOBECOM 2019, December 9 – 13, in
Waikoloa, Hawaii, USA
J. Dommel, Z. Utkovski, L. Thiele and S. Stanczak
(2019). Sparse Code-Domain Non-Orthogonal Random Access with
Turbo-Peeling Decoder [41]. Asilomar Conference on Signals,
Systems, and Computers (Nov 3-6, 2019) in Pacific Grove, CA,
USA
M. Frey and I. Bjelakovic and S. Stanczak (2018).
Resolvability on Continuous Alphabets [42]. IEEE International
Symposium on Information Theory (ISIT)
J. Fink and R. L.G. Cavalcante and P. Jung and S.
Stanczak (2018). Extrapolated Projection Methods for PAPR Reduction
[43]. 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 [44]. 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 [45]. 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 [46]. 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 [47]. Proc. IEEE Global
Telecommunications Conference (GLOBECOM), Dec. 2018 (to
appear)
F. Molinari and S. Stanczak and J. Raisch (2018).
Exploiting the Superposition Property of Wireless Communication for
Max-Consensus Problems in Multi-Agent Systems [48]. European
Control Conference, Limassol, Cyprus, June 12-15
P. Agostini and Z. Utkovski and S. Stanczak and
J. Pilz (2018). Scalable massive random access in C-RAN with fronthaul
limitations [49]. 15th International Symposium on Wireless
Communication Systems (ISWCS) 2018
R. L. G. Cavalcante and S. Stanczak (2018).
Spectral radii of asymptotic mappings and the convergence speed of the
standard fixed point algorithm [50]. 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 System [51]. 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 [52]. 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 [53]. IEEE 19th
International Workshop on Signal Processing Advances in Wireless
Communications (SPAWC)
M. Raceala-Motoc and P. Jung and Z. Utkovski and
S. Stanczak (2018). C-RAN-Assisted Non-Coherent Grant-Free Random
Access Based on Compute-and-Forward [54]. IEEE GLOBECOM
2018
M. Raceala-Motoc and S. Limmer and I. Bjelakovic
and S. Stanczak (2018). Distributed Machine Learning in the Context of
Function Computation over Wireless Networks [55]. 52nd Asilomar
Conference on Signals, Systems and Computers 2018, Preprint.
Renato L. G. Cavalcante and Slawomir Stanczak
(2018). Low-complexity distributed set-theoretic decoders for analog
fountain codes [56]. 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 [57]. 2017 IEEE Global Conference on Signal and
Information Processing (GlobalSIP), 563-567.
M. Frey and I. Bjelakovic and S. Stanczak (2017).
MAC resolvability: First and second order results [58]. 2017 IEEE
Conference on Communications and Network Security (CNS),
560-564.
M. Vural and P. Jung and S. Stanczak (2017). A
new outlier detection method based on anti-sparse representations
[59]. 2017 25th Signal Processing and Communications Applications
Conference (SIU), 1-4.
M. Vural and P. Jung and S. Stanczak (2017).
Effect of anti-sparse prior on PAPR performance analysis [60].
2017 25th Signal Processing and Communications Applications
Conference (SIU), 1-4.
M. A. Gutierrez-Estevez and S. Stanczak (2017).
Distributed Multi-Object Auctions for Energy Transfer between
Harvesting Nodes [61]. WSA 2017; 21th International ITG Workshop
on Smart Antennas, 1-7.
R. L. G. Cavalcante and S. Stanczak (2017). Peak
Load Minimization in Load Coupled Interference Networks [62]. The
42nd IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP)
M. Botsov and S. Stanczak and P. Fertl (2016). On
the Overhead of Radio Resource Management Schemes for Mobile Underlay
D2D Communication [63]. IEEE Vehicular Networking Conference
(VNC)
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 [64]. 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 [65]. IEEE Global Conference on Signal and
Information Processing (GlobalSIP), Washington , D.C., USA.
M. Raceala-Motoc and J. Schreck and P. Jung and
S. Stanczak (2016). Robust Message Recovery for Non-Cooperative
Compute-and-Forward Relaying [66]. 50th Annual Asilomar
Conference on Signals, Systems, and Computers
M. Goldenbaum and P. Jung and M. Raceala-Motoc
and S. Stanczak and C. Zhou (2016). Harnessing Channel Collisions to
Efficiently Deal with the Massive Access in 5G Networks [67]. 9th
International Symposium on Turbo Codes & Iterative Information
Processing 2016 - Workshop 5G: 5G for Internet of Things
M. A. Gutierrez-Estevez and D. Gozalvez-Serrano
and M. Botsov and S. Stanczak (2016). STFDMA: A Novel Technique for
Ad-Hoc V2V Networks Exploiting Radio Channels Frequency Diversity
[68]. 13th International Symposium on Wireless Communication
Systems (ISWCS)
S. Limmer and S. Stanczak (2016). Towards optimal
nonlinearities for sparse recovery using higher-order statistics [69].
IEEE International Workshop on Machine Learning For Signal
Processing (MLSP)
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Head of Chair
Prof. Dr.-Ing. Slawomir Stanczak
HFT 400a
Einsteinufer 25
10587 Berlin
Tel.: +49(0)30 314-28465
Fax: +49(0)30 314-28320
e-mail query [76]
Website [77]
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