M. Frey, I. Bjelakovic and S. Stanczak (2021). Over-The-Air Computation in Correlated Channels. Submitted to IEEE Transactions on Signal Processing. Final version available at arXiv:2101.04690

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

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.

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.

R. Freund, T. Haustein, M. Kasparick, K. Mahler, J. Schulz-Zander, L. Thiele, T. Wiegand, and R. Weiler (2018). 5G-Datentransport mit Höchstgeschwindigkeit. 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. 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. chapter Distributed Channel Selection for Underlay Device-to-Device Communications: A Game- Theoretical Learning Framework. Springer International Publishing, 2015. Springer International Publishing.

M. Goldenbaum, 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, 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, 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, H. Boche, 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.

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

A. Pfadler, C. Ballesteros, J. Romeu and L. Jofre (2020). Hybrid Massive MIMO for Urban V2I: Sub-6 GHz vs mmWave Performance Assessment. IEEE Transactions on Vehicular Technology, 27 May 2020, pp. 4652-4662.

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

R. Hernangómez, A. Santra and S. Stanczak (2020). A Study on Feature Processing Schemes for Deep-Learning-Based Human Activity Classification Using Frequency-Modulated Continuous-Wave Radar. IET Radar, Sonar & Navigation, Volume 14, Issue 7, July 2020, 10 pp.

C.- X. Wang, M. Di Renzo, S. Stanczak, S. Wang and E. G. Larsson (2020). Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges. IEEE Wireless Communications (Volume 27, Issue: 1, pp. 16-23, Feb.

G. Bräutigam, R. L.G. Cavalcante, M. Kasparick, A. Keller and S. Stanczak (2020). AI and open interfaces: Key enablers for campus networks. ITU News Magazine - AI and Machine Learning in 5G, no. 5, p. 55, open access, Dec.

T. Bag, S. Garg, D. F. Preciado Rojas and A. Mitschele-Thiel (2020). Machine Learning based Recommender Systems to achieve Self-Coordination between SON Functions. IEEE Transactions on Network and Service Management, Sept. 2020

F. Molinari, N. Agrawal, S. Stanczak and J. Raisch (2020). Max-Consensus Over Fading Wireless Channels. IEEE Transactions on Control of Network Systems, Dec. 2020

R. L.G. Cavalcante, Q. Liao and S. Stanczak (2019). Connections between spectral properties of asymptotic mappings and solutions to wireless network problems. IEEE Transactions on Signal Processing, Feb. 2019

V. Stojkoski, Z. Utkovski, L. Basnarkov and L. Kocarev (2019). Cooperation dynamics in the networked geometric Brownian motion. Physical Review E 99, 062312, 28 June 2019

V. Stojkoski, Z. Utkovski, E. Andre and L. Kocarev (2019). The role of multiplex network structure in cooperation through generalized reciprocity. Physica A: Statistical Mechanics and its Applications 531:121805, June 2019

L. Basnarkov, V. Stojkoski, Z. Utkovski and L. Kocarev (2019). Lead-lag relationships in foreign exchange markets. Physica A: Statistical Mechanics and its Applications 539:122986, Sept. 2019

B.-S. Shin, M. Yukawa, R. L. G. Cavalcante and A. Dekorsy (2018). Distributed Adaptive Learning with Multiple Kernels in Diffusion Networks. IEEE Transactions on Signal Processing, 5505-5519.

S. Limmer and S. Stanczak (2018). A Neural Architecture for Bayesian Compressive Sensing over the Simplex via Laplace Techniques. IEEE Trans. on Signal Processing, 66(22):6002-6015, Nov. 2018.

C. Bockelmann, N. Pratas, G. Wunder, S. Saur, M. Navorro, D. Gregoratti, G. Vivier, E. de Carvalho, Y. Ji, C. Stefanovic, P. Popovski, Q. Wang, M. Schellmann, E. Kosmatos, P. Demestichas, M. Raceala-Motoc, P. Jung, S. Stanczak and A. Dekorsy (2018). Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks. IEEE Access (Volume: 6), pages 28969 - 28992, May 16, 2018

J. Schreck, P. Jung and S. Stanczak (2018). Compressive Rate Estimation with Applications to Device-to-Device Communications. IEEE Transactions on Wireless Communications

M. Kasparick and G. Wunder (2018). Stable Wireless Network Control Under Service Constraints. IEEE Transactions on Control of Network Systems ( Volume: 5, Issue: 3, Sept. 2018) ,pp. 946 - 956

W. Samek, S. Stanczak and T. Wiegand (2017). The Convergence of Machine Learning and Communications. ITU Journal: ICT Discoveries, Special Issue No. 1

R.L.G. Cavalcante, M. Kasparick and S. Stanczak (2017). Max-Min Utility Optimization in Load Coupled Interference Networks. IEEE Transactions on Wireless Communications, vol. 16, no. 2, pp. 705-716, Feb. 2017

Qi Liao and R. L. G. Cavalcante (2017). Improving Resource Efficiency with Partial Resource Muting for Future Wireless Networks. Proc. IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Oct. 2017

J. Mohammadi, S. Limmer and S. Stanczak (2016). A Decentralized Eigenvalue Computation Method for Spectrum Sensing Based on Average Consensus. Frequenz, July 2016

R.L.G. Cavalcante, S. Stanczak, J. Zhang and H. Zhuang (2016). Low complexity iterative algorithms for power estimation in ultra-dense load coupled networks. IEEE Trans. Signal Processing, vol. 64, no. 22, pp. 6058-6070, Nov. 2016

R.L.G. Cavalcante and Y. Shen and S. Stanczak (2016). Elementary Properties of Positive Concave Mappings With Applications to Network Planning and Optimization. IEEE Trans. Signal Processing, vol. 64, no. 7, pp. 1774-1783, April 2016

E. Pollakis, R.L.G. Cavalcante and S. Stanczak (2016). Traffic Demand-Aware Topology Control for Enhanced Energy-Efficiency of Cellular Networks. EURASIP Journal on Wireless Communications and Networks, vol. 2016, no. 1, pp. 1-17, Feb. 2016

T. Wirth, K.-J. Friederichs, R. Halfmann, T. Haustein, B. Holfeld, M. Mehlhose, J. Pilz and D. Wieruch (2016). Real-time demonstration of optimized spectrum usage with LSA carrier aggregation. Frequenz, Journal of RF-Engineering and Telecommunications, vol. 70, no. 7, pp. 301-308, July 2016, doi: 10.1515/freq-2015-0215

G. Cao and P. Jung and S. Stanczak and F. Yu (2016). Data Aggregation and Recovery in Wireless Sensor Networks Using Compressed Sensing. International Journal of Sensor Networks (IJSNet), 209-219.

S. Maghsudi and S. Stanczak (2015). Joint Channel Selection and Power Control in Infrastructureless Wireless Networks: A Multiplayer Multiarmed Bandit Framework. IEEE Trans. Veh. Technol., 4565-4578.

M. Kasparick and R. L. G. Cavalcante and S. Valentin and S. Stanczak and M. Yukawa (2015). Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information. IEEE Transactions on Vehicular Technology, vol. 65, no. 7, pp. 5461-5473, July 2016 (also available at http://arxiv.org/abs/1404.0979)

S. Maghsudi and S. Stanczak (2015). Hybrid Centralized-Distributed Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks. IEEE Trans. Veh. Technol., 2481-2495.

M. Goldenbaum and H. Boche and S. Stanczak (2015). Nomographic Functions: Efficient Computation in Clustered Gaussian Sensor Networks. IEEE Trans. Wireless Commun., 2093–2105.

S. Maghsudi and S. Stanczak (2015). Channel Selection for Network-Assisted D2D Communication via No-Regret Bandit Learning With Calibrated Forecasting. IEEE Transactions on Wireless Communications, 1309-1322.

F. Penna and S. Stanczak (2015). Decentralized Eigenvalue Algorithms for Distributed Signal Detection in Cognitive Networks. IEEE Transactions on Signal Processing, 63(2):427-440, Jan. 2015

R. Cavalcante and S. Stanczak and M. Schubert and A. Eisenblätter and U. Türke (2014). Toward Energy-Efficient 5G Wireless Communications Technologies. IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 24-34, Nov. 2014

M. Goldenbaum and S. Stanczak (2014). On the Channel Estimation Effort for Analog Computation Over Wireless Multiple-Access Channels. IEEE Wireless Communications Letters, 261-264.

G. Cao and P. Jung and S. Stanczak (2014). Low Cost Error Correction for Multi-hop Data Aggregation Using Compressed Sensing. IEICE Trans. on Information and System

A. Giovanidis and Q. Liao and S. Stanczak (2014). Measurement-Adaptive Cellular Random Access Protocols. Wireless Networks. Springer Verlag (Germany), 1495-1514.

M. Goldenbaum and H. Boche and S. Stanczak (2013). Harnessing Interference for Analog Function Computation in Wireless Sensor Networks. IEEE Transactions on Signal Processing, 4893–4906.

M. Goldenbaum and S. Stanczak (2013). Robust Analog Function Computation via Wireless Sensor Multiple-Access Channels. IEEE Transactions on Communications, 3863-3877.

M. Vasirani, R. Kota, R. L. G. Cavalcante, S. Ossowski and N. R. Jennings (2013). An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles. IEEE Transactions on Smart Grid , vol. 4, no. 3, pp. 1314-1322, Sept. 2013

M. Zheng and P. Pawelczak and S. Stanczak and H. Yu (2013). Planning of Cellular Networks Enhanced by Energy Harvesting. IEEE Communications Letters, 1092–1095.

R.L.G. Cavalcante and S. Stanczak (2013). A Distributed Subgradient Method for Dynamic Convex Optimization Problems under Noisy Information Exchange. IEEE Journal of Selected Topics in Signal Processing, vol. 7, no. 2, pp. 243-256, April 2013

R. Ahlswede and I. Bjelakovic and H. Boche and J. Nötzel (2013). Quantum Capacity under adversarial quantum noise: arbitrarily varying quantum channels. Communications in Mathematical Physics, Volume 317, Issue 1, pp 103–156, https://doi.org/10.1007/s00220-012-1613-x

I. Bjelakovic and H. Boche and J. Sommerfeld (2013). Secrecy results for compound wiretap channels. Problems of Information Transmission, Volume 49, Issue 1, pp 73–98, https://doi.org/10.1134/S0032946013010079

I. Bjelakovic and H. Boche and G. Janssen (2013). Universal quantum state merging. Journal of Mathematical Physics, Vol. 54, 032204, https://doi.org/10.1063/1.4795243

I. Koutsopoulos and S. Stanczak (2012). The Impact of Transmit Rate Control on Energy-efficient Estimation in Wireless Sensor Networks. IEEE Trans. Wireless Commun., 3261–3271.

R. L. G. Cavalcante, A. Rogers, N. R. Jennings and I. Yamada (2011). Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method. IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 4, pp. 739-753, Aug. 2011

A. Giovanidis and S. Stanczak (2011). Stability and Distributed Power Control in MANETs with Per Hop Retransmissions. IEEE Transactions on Communications, 1632 -1643.

M. Wiese and H. Boche and I. Bjelakovic and V. Jungnickel (2011). The Compound Multiple Access Channel with Partially Cooperating Encoders. IEEE Trans. Inf. Theory, Vol. 57. No. 5, pp 3045-3066, Special Issue on Interference Networks

S. Stanczak and M. Kaliszan and N. Bambos (2010). A Characterization of Max-Min SIR-Balanced Power Allocation with Applications. Wireless Networks (Springer), 2335–2347.

S. Stanczak and A. Feistel and M. Wiczanowski and H. Boche (2010). Utility-based Power Control with QoS Support. Wireless Networks (Springer), 1691–1705.