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T. Piotrowski and R. L. G. Cavalcante (2021). Fixed points of monotonic and (weakly) scalable neural networks. arXiv preprint arXiv:2106.16239

T. Piotrowski and R. L. G. Cavalcante (2021). The fixed point iteration of positive concave mappings converges geometrically if a fixed point exists. arXiv preprint arXiv:2110.11055

M. Frey, I. Bjelakovic and S. Stanczak (2020). Towards Secure Over-The-Air Computation. Submitted to Problems of Information Transmission. Preprint available at arXiv:2001.03174


S. Stanczak, 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, 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

Adaptive Learning for Symbol Detection
Citation key AwanBoo2020
Author D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S. Stanczak
Title of Book Machine Learning for Future Wireless Communications
Pages 15
Year 2020
DOI 10.1002/9781119562306.ch11
Location New York, United States
Month December
Editor Wiley & IEEE Press
Publisher Wiley & IEEE Press
Chapter 11
Abstract This chapter introduces a novel machine learning algorithm for symbol detection in multiuser environments. It considers a challenging multiuser uplink scenario in which the number of antennas available at the base station may be smaller than the number of active users. More specifically, the proposed method is an adaptive (nonlinear) receive filter that learns to detect symbols from data directly, without performing any intermediate estimation tasks (e.g. channel estimation). Furthermore, the method is robust against abrupt changes of the wireless environment. The proposed algorithms for symbol detection are based on the theory of reproducing kernel Hilbert spaces, which have been extensively used in diverse fields such as statistics, probability, signal processing, and machine learning, among others. It also discusses the adaptive learning method for symbol detection in multiuser environments.
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Journal Publications

Nicola Kleppmann and Johannes Dommel and Dennis Wieruch and Stefan Erben (2021). 5G and NOA: Enabling access to valuable hidden data. atp!info Magazin

M. A. Gutierrez-Estevez, M. Kasparick and S. Stanczak (2021). Online Learning of Any-to-Any Path Loss Maps. IEEE Communications Letters

J. Dommel, Z. Utkovski, O. Simeone and S. Stanczak (2021). Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks. IEEE Signal Processing Letters

F. Molinari, N. Agrawal, S. Stanczak and J. Raisch (2021). Max-Consensus Over Fading Wireless Channels. IEEE Transactions on Control of Network Systems, Jan. 2021

Stojkoski, Viktor and Karbevski, Marko and Utkovski, Zoran and Basnarkov, Lasko and Kocarev, Ljupco (2021). Evolution of cooperation in networked heterogeneous fluctuating environments. Physica A: Statistical Mechanics and its Applications. Elsevier, 125904.

Taghizadeh, Omid and Stanczak, Slawomir and Iimori, Hiroki and De Abreu, Giuseppe Thadeu Freitas (2021). Full-Duplex Amplify-and-Forward MIMO Relaying: Design and Performance Analysis Under Erroneous CSI and Hardware Impairments. IEEE Open Journal of the Communications Society. IEEE, 1249–1266.

Miretti, Lorenzo and Cavalcante, Renato Lu'\is Garrido and Sta'nczak, Slawomir (2021). Channel Covariance Conversion and Modelling Using Infinite Dimensional Hilbert Spaces. IEEE Transactions on Signal Processing. IEEE, 3145–3159.

Frey, Matthias and Bjelaković, Igor and Stańczak, Sławomir (2021). Over-the-Air Computation in Correlated Channels. IEEE Transactions on Signal Processing, 5739-5755.

Fink, Jochen and Cavalcante, Renato Luís Garrido and Stańczak, Sławomir (2021). Multi-Group Multicast Beamforming by Superiorized Projections Onto Convex Sets. IEEE Transactions on Signal Processing, 5708-5722.

Fink, Jochen and Cavalcante, Renato Luís Garrido and Stańczak, Sławomir (2021). Multi-Group Multicast Beamforming by Superiorized Projections Onto Convex Sets. IEEE Transactions on Signal Processing, 5708-5722.

Conference, Symposium, and Workshop Papers

K. Komuro and M. Yukawa and R. L. G. Cavalcante (2021). Distributed Sparse Optimization: Towards Global Optimality using Weakly Convex Regularizers. Proc. IEICE Signal Processing Symposium

D.F. Külzer, F. Debbichi, S. Stanczak and M. Botsov (2021). On Latency Prediction with Deep Learning and Passive Probing at High Mobility. IEEE International Conference on Communications (ICC) 2021, Montreal, Canada (virtual conference), in June 14-23, 2021

D. Schäufele, M. Kasparick, J. Schwardmann, J. Morgenroth and S. Stanczak (2021). Terminal-Side Data Rate Prediction For High-Mobility Users. IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), Helsinki, Finland, April 2021

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

D.F. Külzer, M. Kasparick, A. Palaios, R. Sattiraju, O. D. Ramos-Cantor, D. Wieruch, H. Tchouankem, F. Göttsch, P. Geuer, J. Schwardmann, G. Fettweis, H.D. Schotten and S. Stanczak (2021). AI4Mobile: Use Cases and Challenges of AI-based QoS Prediction for High-Mobility Scenarios. IEEE Vehicular Technology Conference (VTC Spring) 2021, April 25-28, in Helsinki, Finland

A. Pfadler, P. Jung, T. Szollmann and S. Stanczak (2021). Pulse-Shaped OTFS over Doubly-Dispersive Channels: One-Tap vs. Full LMMSE Equalizers. IEEE International Conference on Communications, 14-23 June 2021, Montreal, Canada

Undi, Fabian and Schultze, Alper and Keusgen, Wilhelm and Peter, Michael and Eichler, Taro (2021). Angle-Resolved THz Channel Measurements at 300 GHz in an Outdoor Environment. 2021 IEEE International Conference on Communications Workshops (ICC Workshops), 1–7.

Schultze, Alper and Wittig, Sven and Keusgen, Wilhelm (2021). Spatially Resolved Multi-Transmitter Ka-Band Channel Measurements for Receiver Localization. 2021 IEEE Radio and Wireless Symposium (RWS), 154–157.

Gutierrez-Estevez, Miguel A and Utkovski, Zoran and Kousaridas, Apostolos and Zhou, Chan (2021). A Statistical Learning Framework for QoS Prediction in V2X. 2021 IEEE 4th 5G World Forum (5GWF), 441–446.

Bezmenov, Maria and Utkovski, Zoran and Sambale, Klaus and Stanczak, Slawomir (2021). Semi-Persistent Scheduling with Single Shot Transmissions for Aperiodic Traffic. 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1–7.


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