| Increasing energy efficiency of massive-MIMO network via base stations switching using reinforcement learning and radio environment maps M Hoffmann, P Kryszkiewicz, A Kliks Computer Communications 169, 232-242, 2021 | 22 | 2021 |
| Reinforcement learning for energy-efficient 5G massive MIMO: Intelligent antenna switching M Hoffmann, P Kryszkiewicz IEEE Access 9, 130329-130339, 2021 | 15 | 2021 |
| Modeling of Real Time Kinematics localization error for use in 5G networks M Hoffmann, P Kryszkiewicz, GP Koudouridis EURASIP Journal on Wireless Communications and Networking 2020 (1), 31, 2020 | 11 | 2020 |
| Signaling storm detection in iiot network based on the open ran architecture M Hoffmann, P Kryszkiewicz IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops …, 2023 | 8 | 2023 |
| A reinforcement learning approach for base station on/off switching in heterogeneous m-mimo networks M Hoffmann, A Kliks, P Kryszkiewicz, GP Koudouridis 2020 IEEE 21st International Symposium on" A World of Wireless, Mobile and …, 2020 | 6 | 2020 |
| Frequency selection for platoon communications in secondary spectrum using radio environment maps M Hoffmann, P Kryszkiewicz, A Kliks IEEE Transactions on Intelligent Transportation Systems 23 (3), 2637-2650, 2021 | 5 | 2021 |
| Localization techniques for 5g radio environment maps M Hoffmann, H Bogucka Cognitive Radio-Oriented Wireless Networks: 14th EAI International …, 2019 | 5 | 2019 |
| Open RAN for detection of a jamming attack in a 5G network P Kryszkiewicz, M Hoffmann 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-2, 2023 | 3 | 2023 |
| Radio Environment Map and Deep Q-Learning for 5G Dynamic Point Blanking M Hoffmann, P Kryszkiewicz 2022 International Conference on Software, Telecommunications and Computer …, 2022 | 3 | 2022 |
| Open RAN xApps Design and Evaluation: Lessons Learnt and Identified Challenges M Hoffmann, S Janji, A Samorzewski, Ł Kułacz, C Adamczyk, M Dryjański, ... IEEE Journal on Selected Areas in Communications, 2023 | 2 | 2023 |
| Beam management driven by radio environment maps in O-RAN architecture M Hoffmann, P Kryszkiewicz 2023 IEEE International Conference on Communications Workshops (ICC …, 2023 | 2 | 2023 |
| Evaluation of User-Centric Cell-Free Massive Multiple-Input Multiple-Output Networks Considering Realistic Channels and Frontend Nonlinear Distortion M Hoffmann, P Kryszkiewicz Applied Sciences 14 (5), 1684, 2024 | 1 | 2024 |
| Similarity Measures for Location-Dependent MMIMO, 5G Base Stations On/Off Switching Using Radio Environment Map M Hoffmann, P Kryszkiewicz 2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and …, 2021 | 1 | 2021 |
| Contextual Bandit-Based Amplifier IBO Optimization in Massive MIMO Network M Hoffmann, P Kryszkiewicz IEEE Access 11, 127035-127042, 2023 | | 2023 |
| Federated Learning-Based Interference Modeling for Vehicular Dynamic Spectrum Access M Hoffmann, P Kryszkiewicz, A Kliks International Conference on Mobile and Ubiquitous Systems: Computing …, 2022 | | 2022 |
| Wykorzystanie uczenia ze wzmocnieniem do optymalizacji zbioru aktywnych stacji bazowych w heterogenicznej sieci M-MIMO M Hoffmann, P Kryszkiewicz Przegląd Telekomunikacyjny+ Wiadomości Telekomunikacyjne, 2020 | | 2020 |
| The O-RAN Whitepaper 2023–Energy Efficiency in O-RAN M Hoffmann, Marcin, Dryjański | | |
| 2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)| 978-1-6654-2263-5/20/$31.00© 2021 IEEE| DOI: 10.1109/WoWMoM51794. 2021.00065 H Abdellatif, F Afghah, S Ahsan, Y Alhaizaey, AJ Alqaraghuli, ... | | |
Paweł KryszkiewiczPoznan University of Technology, Institute of Radiocommunications; Rimedo LabsZweryfikowany adres z put.poznan.pl
