T. Piotrowski and R. L. G. Cavalcante (2021). Fixed points of monotonic and (weakly) scalable neural networks [3]. 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 [4]. arXiv preprint arXiv:2110.11055

M. Frey, I. Bjelakovic and S. Stanczak (2020). Towards Secure Over-The-Air Computation [5]. 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 [6]. 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 [7]. Preprint (available at https://arxiv.org/abs/1803.05671v1)

R.L.G. Cavalcante and S. Stanczak (2018). Fundamental properties of solutions to utility maximization problems in wireless networks [8]. arXiv:1610.01988

J. Fink and R. L.G. Cavalcante and P. Jung and S. Stanczak (2018). Extrapolated Projection methods for PAPR Reduction [9]. 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 [10]. 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 [11].

Y. Chang and P. Jung and C. Zhou and S. Stanczak (2016). Block Compressed Sensing Based Distributed Device Detection for M2M Communications [12]. Preprint (available at https://arxiv.org/abs/1609.05080v1)

S. Stanczak and M. Wiczanowski and H. Boche (2009). Fundamentals of Resource Allocation in Wireless Networks [15]. 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 [16]. 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 [17]. 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 [18]. Machine Learning for Future Wireless Communications. Wiley & IEEE Press, 15.

R. Freund, T. Haustein, M. Kasparick, K. Mahler, J. Schulz-Zander, L. Thiele, T. Wiegand, and R. Weiler (2018). 5G-Datentransport mit Höchstgeschwindigkeit [19]. book chapter in R. Neugebauer (Ed.), "Digitalisierung: Schlüsseltechnologien für Wirtschaft und Gesellschaft" (pp. 89–111). Berlin, Heidelberg (2018)

G. Wunder, M. Kasparick, P. Jung, T. Wild, F. Schaich, Y. Chen, G. Fettweis, I. Gaspar, N. Michailow, M. Matthé, L. Mendes, D. Kténas, J.‐B. Doré, V. Berg, N. Cassiau, S. Pietrzyk, and M. Buczkowski (2016). New Physical‐layer Waveforms for 5G [20]. book chapter in "Towards 5G: Applications, Requirements and Candidate Technologies'', Wiley, 2016, Eds. Rath Vannithamby and Shilpa Telwar

S. Maghsudi and S. Stanczak (2015). Communications in Interference-Limited Networks [21]. 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 [22]. 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 [23]. chapter Cognitive Radio and Sharing Unlicensed Spectrum in the book Mechanisms and Games for Dynamic Spectrum Allocation, Cambridge University Press, UK, 2014, 262-303.

I. Bjelakovic and H. Boche and J. Sommerfeld (2013). Capacity Results for Arbitrarily Varying Wiretap Channels [24]. 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 [25]. 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 [26]. Smart Antennas–State-of-the-Art. Hindawi Publishing Corporation, 521-543.

Nicola Kleppmann and Johannes Dommel and Dennis Wieruch and Stefan Erben (2021). 5G and NOA: Enabling access to valuable hidden data [38]. atp!info Magazin

M. Frey, I. Bjelakovic and S. Stanczak (2021). Over-The-Air Computation in Correlated Channels [39]. IEEE Transactions on Signal Processing

F. Molinari, N. Agrawal, S. Stanczak and J. Raisch (2021). Max-Consensus Over Fading Wireless Channels [40]. 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 [41]. 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 [42]. IEEE Signal Processing Letters

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 [43]. IEEE Open Journal of the Communications Society. IEEE, 1249–1266.

Miretti, Lorenzo and Cavalcante, Renato L.G. and Stanczak, Slawomir (2021). Channel Covariance Conversion and Modelling Using Infinite Dimensional Hilbert Spaces [44]. IEEE Transactions on Signal Processing. IEEE, 3145–3159.

Fink, Jochen and Cavalcante, Renato Luís Garrido and Stanczak, Slawomir (2021). Multi-Group Multicast Beamforming by Superiorized Projections Onto Convex Sets [45]. 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 [46]. 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 [47]. IEEE Transactions on Signal Processing. IEEE, 3145–3159.

K. Komuro and M. Yukawa and R. L. G. Cavalcante (2021). Distributed Sparse Optimization: Towards Global Optimality using Weakly Convex Regularizers [90]. 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 [91]. 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 [92]. IEEE 2020 Information Theory Workshop (ITW), April 11-15, 2021

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

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 [94]. 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 [95]. IEEE International Conference on Communications, 14-23 June 2021, Montreal, Canada

M. Vural and C. Yuan and N. Kleppmann and P. Jung (2021). A Semidefinite Programming Approach for Obstacle Prediction and Localization [96]. WSA 2021; 25th International ITG Workshop on Smart Antennas, 1-6.

M. Vural and C. Yuan and N. Kleppmann and P. Jung (2021). Robust Distance Matrix Completion for Localization using Frank-Wolfe Iterations [97]. 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1-5.

Ismayilov, Rafail and Cavalcante, Renato LG and Stanczak, Slawomir (2021). Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems [98]. ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4115–4119.

Dommel, Johannes and Wieruch, Dennis and Utkovski, Zoran and Stanczak, Slawomir (2021). A Semantics-Aware Communication Scheme to Estimate the Empirical Measure of A Quantity of Interest Via Multiple Access Fading Channels [99]. 2021 IEEE Statistical Signal Processing Workshop (SSP), 521–525.