M. Frey, I. Bjelakovic and S. Stanczak (2020). Towards Secure Over-The-Air Computation [8]. Submitted to Problems of Information Transmission. Preprint available at arXiv:2001.03174

R.L.G. Cavalcante and S. Stanczak (2018). Spectral radii of asymptotic mappings and the convergence speed of the standard fixed point algorithm [9]. 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 [10]. 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 [11]. 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 [12].

R.L.G. Cavalcante and S. Stanczak (2018). Fundamental properties of solutions to utility maximization problems in wireless networks [13]. 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 [14]. Preprint (available at https://arxiv.org/abs/1609.05080v1)

Q. Liao and D. A. Awan and S. Stanczak (2016). Joint Optimization of Coverage, Capacity and Load Balancing in Self-Organizing Networks [15]. Preprint available at: arXiv:1607.04754, 8 pages, 6 figures

Z. Ren and S. Stanczak and P. Fertl (2015). An Optimization Framework for Energy Saving in 5G Nomadic Relaying Networks [16]. Preprint

M. Kaliszan and S. Stanczak (2015). A class of saddle-point algorithms for max-min fair resource allocation in wireless interference networks [17]. Preprint

S. Stanczak and M. Wiczanowski and H. Boche (2009). Fundamentals of Resource Allocation in Wireless Networks [20]. 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 [21]. Lecture Notes in Computer Science (LNCS 4000). Springer, Berlin, 2006. Springer, Berlin.

S. Stanczak and A. Keller and R.L.G. Cavalcante and N. Binder (2021). Long-term Perspectives: Machine Learning for Future Wireless Networks [22]. Chapter 14 in: Shaping Future 6G Networks: Needs, Impacts, and Technologies. John Wiley & Sons and IEEE Press.

D. A. Awan and R.L.G. Cavalcante and M. Yukawa and S. Stanczak (2020). Adaptive Learning for Symbol Detection [23]. Machine Learning for Future Wireless Communications. Wiley & IEEE Press, 15.

S. Maghsudi and S. Stanczak (2015). Communications in Interference-Limited Networks [24]. chapter in 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 [25]. chapter in 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 [26]. chapter Cognitive Radio and Sharing Unlicensed Spectrum in the book Mechanisms and Games for Dynamic Spectrum Allocation, 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 [27]. Smart Antennas–State-of-the-Art. Hindawi Publishing Corporation, 521-543.

M. Frey, I. Bjelakovic and S. Stanczak (2021). Over-The-Air Computation in Correlated Channels [35]. IEEE Transactions on Signal Processing

F. Molinari, N. Agrawal, S. Stanczak and J. Raisch (2021). Max-Consensus Over Fading Wireless Channels [36]. IEEE Transactions on Control of Network Systems, Jan. 2021

M. A. Gutierrez-Estevez, M. Kasparick and S. Stanczak (2021). Online Learning of Any-to-Any Path Loss Maps [37]. 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 [38]. IEEE Signal Processing Letters

Fink, Jochen and Cavalcante, Renato Luís Garrido and Stanczak, Slawomir (2021). Multi-Group Multicast Beamforming by Superiorized Projections Onto Convex Sets [39]. IEEE Transactions on Signal Processing, 5708-5722.

Fink, Jochen and Cavalcante, Renato Luís Garrido and Stanczak, Slawomir (2021). Multi-Group Multicast Beamforming by Superiorized Projections Onto Convex Sets [40]. IEEE Transactions on Signal Processing, 5708-5722.

Miretti, Lorenzo and Cavalcante, Renato Luis Garrido and Stanczak, Slawomir (2021). Channel Covariance Conversion and Modelling Using Infinite Dimensional Hilbert Spaces [41]. IEEE Transactions on Signal Processing. IEEE, 3145–3159.

Vural, Metin and Aravkin, Aleksandr Y. and Stanczak, Slawomir (2021). l1-Norm Minimization With Regula Falsi Type Root Finding Methods [42]. IEEE Signal Processing Letters, 2132-2136.

D. A. Awan and R. L.G. Cavalcante and S. Stanczak (2020). Robust Cell-Load Learning with a Small Sample Set [43]. IEEE Transactions on Signal Processing (TSP), 68:270-283.

C.-X. Wang and M. Di Renzo and S. Stanczak and S. Wang and E. G. Larsson (2020). Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges [44]. IEEE Wireless Communications Magazine, February 2020/Intelligent Radio: When Artificial Intelligence Meets Radio Network