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Preprints

M. Frey, I. Bjelakovic and S. Stanczak (2020). Over-The-Air Computation in Correlated Channels. Submitted to IEEE Transactions on Signal Processing. arXiv:2007.02648

M. Frey, I. Bjelakovic and S. Stanczak (2020). Towards Secure Over-The-Air Computation. Submitted to IEEE Transactions on Information Forensics and Security. arXiv:2001.03174

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 (2020). Adaptive Learning for Symbol Detection. Machine Learning for Future Wireless Communications. Wiley & IEEE Press, 15.

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.

I. Bjelakovic and H. Boche and J. Sommerfeld (2013). Capacity Results for Arbitrarily Varying Wiretap Channels. In: Aydinian H., Cicalese F., Deppe C. (eds) Information Theory, Combinatorics, and Search Theory. Lecture Notes in Computer Science, vol 7777. Springer, Berlin, Heidelberg

I. Bjelakovic and H. Boche and G. Janen and J. Notzel (2013). Arbitrarily Varying and Compound Classical-Quantum Channels and a Note on Quantum Zero-Error Capacities. In: Aydinian H., Cicalese F., Deppe C. (eds) Information Theory, Combinatorics, and Search Theory. Lecture Notes in Computer Science, vol. 7777. Springer, Berlin, Heidelberg

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

Distributed Adaptive Learning with Multiple Kernels in Diffusion Networks
Citation key	DKS01
Author	B.-S. Shin and M. Yukawa and R. L. G. Cavalcante and A. Dekorsy
Pages	5505-5519
Year	2018
Journal	IEEE Transactions on Signal Processing
Volume	66
Number	21
Month	Nov.
Note	article in a journal
Editor	IEEE
Abstract	We propose an adaptive scheme for distributed learning of nonlinear functions by a network of nodes. The proposed algorithm consists of a local adaptation stage utilizing multiple kernels with projections onto hyperslabs and a diffusion stage to achieve consensus on the estimates over the whole network. Multiple kernels are incorporated to enhance the approximation of functions with several high- A nd low-frequency components common in practical scenarios. We provide a thorough convergence analysis of the proposed scheme based on the metric of the Cartesian product of multiple reproducing kernel Hilbert spaces. To this end, we introduce a modified consensus matrix considering this specific metric and prove its equivalence to the ordinary consensus matrix. Besides, the use of hyperslabs enables a significant reduction of the computational demand with only a minor loss in the performance. Numerical evaluations with synthetic and real data are conducted showing the efficacy of the proposed algorithm compared to the state-of-the-art schemes.

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Conference, Symposium, and Workshop Papers

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M. Frey, I. Bjelakovic and S. Stanczak (2021). Over-The-Air Computation in Correlated Channels. Accepted for publication at IEEE 2020 Information Theory Workshop (ITW), April 11-15, 2021, final version on arXiv:2101.04690

O. Taghizadeh, S. Stanczak, H. Iimori and G. Thadeu Freitas de Abreu (2020). Full-Duplex AF MIMO Relaying: Impairments Aware Design and Performance Analysis. 2020 IEEE Global Communications Conference: Signal Processing for Communications (Globecom2020 SPC), December 7 - 11, in Taipei, Taiwan

A. Pfadler, P. Jung and S. Stanczak (2020). Mobility Modes for Pulse-Shaped OTFS with Linear Equalizer. IEEE Globecom 2020, December 7-11, in Taipei, Taiwan

A. Pfadler, G. Jomod, A. E. Assaad and P. Jung (2020). Predictive Quality of Service: Adaptation of Platoon Inter-Vehicle Distance to Packet Inter-Reception Time. IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020, pp. 1-5.

P. Agostini, Z. Utkovski and S. Stanczak (2020). Channel Charting: an Euclidean Distance Matrix Completion Perspective. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4-8 May 2020 in Barcelona, Spain

D.F. Külzer and S. Stanczak and M. Botsov (2020). Novel QoS Control Framework for Automotive Safety-Related and Infotainment Services. IEEE Wireless Communications and Networking Conference 2020, May 25-28, Virtual Conference

A. Pfadler and P. Jung and S. Stanczak (2020). Pulse-Shaped OTFS for V2X Short-Frame Communication with Tuned One-Tap Equalization. 24th International ITG Workshop on Smart Antennas, Poster presentation, February 18-20, 2020 in Hamburg, Germany

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

C. Ma, M. Zheng, W. Liang, M. Kasparick, and Y. Lin (2020). Deploying Two-Tiered Wireless Sensor/Actuator Networks Supporting In-Network Computation. 18th IEEE International Conference on Industrial Informatics (INDIN), Warwick, UK, 2020

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. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 4-8, 2020 in Barcelona, Spain

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

Diego Fernando Preciado Rojas and Andreas Mitschele-Thiel (2020). A scalable SON coordination framework for 5G. IEEE/IFIP Network Operations and Management Symposium, April 2020

Diego Fernando Preciado Rojas, Faiaz Nazmetdinov and Andreas Mitschele-Thiel (2020). Zero-touch coordination framework for Self-Organizing Functions in 5G. IEEE Wireless Communications and Networking Conference, April 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. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 4-8, 2020 in Barcelona, Spain

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. 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, M. Kasparick and S. Stanczak (2020). Robust Submodular RRH Selection for Joint Multicast Downlink Transmission. 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. 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. 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. 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. 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, arXiv:1907.03777

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

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

Gerald Budigiri, Diego Fernando Preciado Rojas, Andreas Mitschele-Thiel and Stephen Mwanje (2019). Optimal Rules Mining in SON for Distributed Intelligence in Future Cognitive Cellular Networks. International Symposium on Advanced Electrical and Communication Technologies, Rom, November 2019

Diego Fernando Preciado Rojas and Andreas Mitschele-Thiel (2019). Machine Learning-based SON function conflict resolution. First International Workshop on Machine Learning for Wireless Communications, Barcelona, June 2019

Tanmoy Bag, Sharva Garg, Diego Fernando Preciado Rojas, Zubair Shaik, Andreas Mitschele-Thiel and Jens Mückenheim (2019). Self-Organizing Network functions for handover optimization in LTE Cellular networks. Mobile Communication - Technologies and Applications; 24. ITG-Symposium , Osnabrück, Germany, June 2019

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, arXiv:1903.02885

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

C. Ballesteros, A. Pfadler, J. Romeu and L. Jofre (2018). 5G Vehicle MIMO Antenna Capacity Based on a Rigorous Electromagnetic Channel Modeling. 48th European Microwave Conference (EuMC), 23-27 Sept. 2018, Madrid, Spain, pp. 1077-1080.

M. Frey and I. Bjelakovic and S. Stanczak (2018). Resolvability on Continuous Alphabets. IEEE International Symposium on Information Theory (ISIT), 2018, arXiv:1801.03964

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.

R. Gangula, D. Gesbert, D.F. Külzer and J.M. Franceschi (2018). A landing spot approach for enhancing the performance of UAV-aided wireless networks. IEEE International Conference on Communications Workshops (ICC Workshops), May 20-24, 2018, in Kansas City, United States

A. Pfadler, C. Ballesteros, J. Romeu and L. Jofre (2018). Multi-antenna configuration modeling for massive MIMO V2I. 12th European Conference on Antennas and Propagation (EuCAP 2018), 9-13 April 2018, London, UK, pp. 1-5.

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

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