direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

Preprints

Q. Liao and D. A. Awan and S. Stanczak (2016). Joint Optimization of Coverage, Capacity and Load Balancing in Self-Organizing Networks. 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. Preprint



I. Bjelakovic and R. Siegmund-Schultze (2015). Quantum Stein's lemma revisited, inequalities for quantum entropies, and a concavity theorem of Lieb. Preprint available at arXiv:quant-ph/0307170


J. Schreck and P. Jung and S. Stanczak (2015). Compressive Rate Estimation with Applications to Device-to-Device Communications. Preprint (available at http://arxiv.org/abs/1504.07365)



H. Boche and S. Stanczak (2005). Some Comments on the Perron Root of Irreducible Matrices. Preprint



Books

Book Chapters

Journal Publications

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


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.


A. Pfadler and C. Ballesteros and 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 and R. L.G. Cavalcante and S. Stanczak (2020). Robust Cell-Load Learning with a Small Sample Set. 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. IEEE Wireless Communications Magazine, February 2020/Intelligent Radio: When Artificial Intelligence Meets Radio Network


R. Hernangómez and 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.


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


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.


R.L.G. Cavalcante and 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


Conference, Symposium, and Workshop Papers

Ismayilov, Rafail and Cavalcante, Renato LG and Stanczak, Slawomir (2021). Deep Learning Beam Optimization in Millimeter-Wave Communication Systems. 2021 IEEE Statistical Signal Processing Workshop (SSP), 581–585.


Komuro, Kei and Yukawa, Masahiro and Cavalcante, Renato LG (2021). Distributed Sparse Optimization With Minimax Concave Regularization. 2021 IEEE Statistical Signal Processing Workshop (SSP), 31–35.


Frey, Matthias and Bjelakovic, Igor and Stanczak, Slawomir (2021). Towards secure over-the-air computation. 2021 IEEE International Symposium on Information Theory (ISIT), 700–705.


Palaios, Alexandros and Geuer, Philipp and Fink, Jochen and Külzer, Daniel F and Göttsch, Fabian and Kasparick, Martin and Schäufele, Daniel and Hernangómez, Rodrigo and Partani, Sanket and Sattiraju, Raja and others (2021). Network under control: Multi-vehicle E2E measurements for AI-based QoS prediction. 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 1432–1438.


Külzer, Daniel Fabian and Stanczak, Slawomir and Botsov, Mladen (2021). CDI Maps: Dynamic Estimation of the Radio Environment for Predictive Resource Allocation. 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 892–898.


Manjunath, Ramya Panthangi and Schubert, Martin and Cavalcante, RL G and Boban, Mate and Zhou, Chan and Stanczak, Slawomir (2021). Proactive Application Rate Requirement Adaptation Mechanism for Sidelinks. 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 1–6.


Külzer, Daniel Fabian and Stanczak, Slawomir and Botsov, Mladen (2021). Interference-Aware Distributed Predictive Resource Allocation for Automotive Applications. 2021 17th International Symposium on Wireless Communication Systems (ISWCS), 1–6.


Agrawal, Navneet and Cavalcante, Renato LG and Stanczak, Slawomir (2021). Adaptive Estimation of Angular Power Spectra for Time-Varying MIMO Channels. 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 96–100.


Dai, Sida and Kurras, Martin and Thiele, Lars and Stanczak, Slawomir and Chen, Litao and Zhong, Zhimeng (2021). Deep Learning for Massive MIMO: Channel Completion for TDD Downlink. 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 696–702.


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.


Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

This site uses Matomo for anonymized web analytics. More information and opt-out options under data protection.