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Preprints

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


C. Bockelmann and others (2018). Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks. Preprint (available at https://arxiv.org/abs/1804.01701)


R.L.G. Cavalcante and S. Stanczak (2018). Spectral radii of asymptotic mappings and the convergence speed of the standard fixed point algorithm. Preprint (available at https://arxiv.org/abs/1803.05671v1)


J. Fink and R. L.G. Cavalcante and P. Jung and S. Stanczak (2018). Extrapolated Projection methods for PAPR Reduction. Preprint, accepted for publication, 26th European Signal Processing Conference (EUSIPCO 2018)


D. Schaeufele and R. L.G. Cavalcante and Z. Zhong and S. Stanczak (2018). Tensor Completion for Radio Map Reconstruction and Channel Cartography using Low Rank and Smoothness. Preprint


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.


R.L.G. Cavalcante and S. Stanczak (2018). Fundamental properties of solutions to utility maximization problems in wireless networks. arXiv:1610.01988


Y. Chang and P. Jung and C. Zhou and S. Stanczak (2016). Block Compressed Sensing Based Distributed Device Detection for M2M Communications. Preprint (available at https://arxiv.org/abs/1609.05080v1)


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

Adaptive Learning for Symbol Detection
Citation key AwanBoo2020
Author D. A. Awan and R.L.G. Cavalcante and 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

Hernangómez, Rodrigo and Visentin, Tristan and Servadei, Lorenzo and Khodabakhshandeh, Hamid and Sta'nczak, Sławomir (2022). Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation. Sensors. Multidisciplinary Digital Publishing Institute, 1519.


Cioni, Stefano and Lin, Xingqin and Chamaillard, Baptiste and El Jaafari, Mohamed and Charbit, Gilles and Raschkowski, Leszek (2022). Physical layer enhancements in 5G-NR for direct access via satellite systems. International Journal of Satellite Communications and Networking


Yunyan Chang and, Peter Jung and Chan Zhou and Sławomir Stańczak (2022). Distributed ranking-based resource allocation for sporadic M2M communication. EURASIP Journal on Wireless Communications and Networking



Mbugua, Allan Wainaina and Chen, Yun and Raschkowski, Leszek and Ji, Yilin and Gharba, Mohamed and Fan, Wei (2022). Efficient Pre-Processing of Site-Specific Radio Channels for Virtual Drive Testing in Hardware Emulators. IEEE Transactions on Aerospace and Electronic Systems, 1–14.


K. Komuro and M. Yukawa and R. L. G. Cavalcante (2022). Distributed Sparse Optimization with Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties towards Global Optimality. Transactions on Signal and Information Processing over Networks


K. Komuro and M. Yukawa and R. L. G. Cavalcante (2022). Distributed Sparse Optimization with Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties towards Global Optimality. Transactions on Signal and Information Processing over Networks


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. Frey, I. Bjelakovic and S. Stanczak (2021). Over-The-Air Computation in Correlated Channels. IEEE Transactions on Signal Processing


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


Conference, Symposium, and Workshop Papers

Hernangómez, Rodrigo and Bjelakovic, Igor and Servadei, Lorenzo and Sta'nczak, Sławomir (2022). Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. 2022 30th European Signal Processing Conference (EUSIPCO)


Kei Komuro and Masahiro Yukawa and Renato L. G. Cavalcante (2022). Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality. 2022 30th European Signal Processing Conference (EUSIPCO)


Fink, Jochen and Cavalcante, Renato L. G. and Utkovski, Zoran and Sta'nczak, Sławomir (2022). A Set-Theoretic Approach to MIMO Detection. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5328–5332.


Hernangómez, Rodrigo and Palaios, Alexandros and Guruvayoorappan, Gayathri and Kasparick, Martin and Ain, Noor Ul and Sta'nczak, Sławomir (2022). Online QoS Estimation for Vehicular Radio Environments. 2022 30th European Signal Processing Conference (EUSIPCO), 5.


Attar, M. Hossein and Taghizadeh, Omid and Chang, Kaxin and Askar, Ramez and Mehlhose, Matthias and Stanczak, Slawomir (2022). Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex Transceivers with Nonlinearity. 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)


Jaeckel, Stephan and Raschkowski, Leszek and Thieley, Lars (2022). A 5G-NR Satellite Extension for the QuaDRiGa Channel Model. 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 142–147.


Cassiau, Nicolas and Kim, Ilgyu and Strinati, Emilio Calvanese and Noh, Gosan and Pietrabissa, Antonio and Arnal, Fabrice and Casati, Guido and Choi, Taesang and Choi, You-Jun and Chung, Heesang and Colombero, Sylvain and Zotto, Pierre Dal and Santis, Emanuele De and Doré, Jean-Baptiste and Giuseppi, Alessandro and Houssin, Jean-Michel and Kim, Junhyeong and Laugeois, Marc and Pigni, Federico and Popon, Xavier and Raschkowski, Leszek and Thary, Marjorie and Won, Seok Ho (2022). 5G-ALLSTAR: Beyond 5G Satellite-Terrestrial Multi-Connectivity. 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 148–153.


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


M. Frey, I. Bjelakovic and S. Stanczak (2021). Over-The-Air Computation in Correlated Channels. IEEE 2020 Information Theory Workshop (ITW), April 11-15, 2021


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