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Prof. Dr.-Ing. Slawomir Stanczak

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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

arXiv

LinkedIn


Publications

Books

S. Stanczak and M. Wiczanowski and H. Boche (2009). Fundamentals of Resource Allocation in Wireless Networks. 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. 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 (2019). Adaptive Learning for Symbol Detection: A Reproducing Kernel Hilbert Space Approach. Wiley, 2019, to appear


S. Maghsudi and S. Stanczak (2015). Communications in Interference-Limited Networks. 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. 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. 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. Smart Antennas–State-of-the-Art. Hindawi Publishing Corporation, 521-543.


Journal Publications

On the Channel Estimation Effort for Analog Computation Over Wireless Multiple-Access Channels
Citation key GS14otce
Author M. Goldenbaum and S. Stanczak
Pages 261-264
Year 2014
Journal IEEE Wireless Communications Letters
Volume 3
Number 3
Month jun
Download Bibtex entry

Conference, Symposium, and Workshop Papers

R. Hernangómez and A. Santra and S. Stanczak (2019). Human Activity Classification with Frequency Modulated Continuous Wave Radar Using Deep Convolutional Neural Networks. 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. 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. 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. 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. 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)


N. Agrawal, M. Frey and S. Stanczak (2019). A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks. 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. 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. 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. 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. 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. 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. 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)


F. Molinari and S. Stanczak and J. Raisch (2018). Exploiting the Superposition Property of Wireless Communication for Max-Consensus Problems in Multi-Agent Systems. 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. 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. 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)


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. 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. 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. 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.


M. Frey and I. Bjelakovic and S. Stanczak (2017). MAC resolvability: First and second order results. 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. 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. 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. 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. 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. 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. 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.


M. Raceala-Motoc and J. Schreck and P. Jung and S. Stanczak (2016). Robust Message Recovery for Non-Cooperative Compute-and-Forward Relaying. 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. 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. 13th International Symposium on Wireless Communication Systems (ISWCS)


S. Limmer and S. Stanczak (2016). Towards optimal nonlinearities for sparse recovery using higher-order statistics. IEEE International Workshop on Machine Learning For Signal Processing (MLSP)


M. Botsov S. Stanczak P. Fertl (2016). Optimized Zone Design for Location-based Resource Allocation in Mobile D2D Underlay Networks. 13th International Symposium on Wireless Communication Systems (ISWCS)


I. Bjelakovic and J. Mohammadi and S. Stanczak (2016). Strong Secrecy and Stealth for Broadcast Channels with Confidential Messages. IEEE International Symposium on Information Theory (ISIT 2016)


M. Kaliszan and G. Caire and S. Stanczak (2016). On the Throughput Rate of Wireless Multipoint Multicasting. IEEE International Symposium on Information Theory (ISIT 2016)


K. Ralinovski and M. Goldenbaum and S. Stanczak (2016). Energy-Efficient Classification for Anomaly Detection: The Wireless Channel as a Helper. IEEE International Conference on Communications (ICC)


M. Vural and P. Jung and S. Stanczak (2016). On Some Physical Layer Design Aspects for Machine Type Communication. WSA 2016; 20th International ITG Workshop on Smart Antennas, 1-8.


E. Pollakis and S. Stanczak (2016). Anticipatory Networking for Energy Savings in 5G Systems. Proc. 20th International ITG Workshop on Smart Antennas (WSA 2016), 1-7.


Y. Chang and P. Jung and C. Zhou and S. Stanczak (2016). Block Compressed Sensing based Distributed Resource Allocation for M2M Communications. Proc. 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 3791-3795.


Q. Liao and S. Stanczak (2015). Network State Awareness and Proactive Anomaly Detection in Self-Organizing Networks. Proc. International Workshop on Emerging Technologies for 5G Wireless Cellular Networks (In conjunction with IEEE GLOBECOM 2015)


S. Limmer and J. Mohammadi and S. Stanczak (2015). A Simple Algorithm for Approximation by Nomographic Functions. Proc. 53rd Annual Allerton Conference on Communication, Control, and Computing


M. Botsov and S. Stanczak and P. Fertl (2015). On the Transport Capacity of Next-generation Cellular Networks with Vehicular D2D Underlay. Proc. 12th International Symposium on Wireless Communication Systems (ISWCS), 176-180.


S. Maghsudi and S. Stanczak (2015). On Channel Selection for Energy-Constrained Rateless-Coded D2D Communications. Proc. 2015 European Signal Processing Conference (EUSIPCO)


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Prof. Dr.-Ing. Slawomir Stanczak
Fakultät IV
Raum HFT 400a
Tel.: +49(0)30 314-28465
Fax: +49(0)30 314-28320

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