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ORCIDSlawomir Stanczak
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- affiliation: TU Berlin
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2020 – today
- 2023
[j63]Alexandros Palaios
, Christian L. Vielhaus, Daniel Fabian Külzer, Cara Watermann, Rodrigo Hernangómez, Sanket Partani, Philipp Geuer, Anton Krause, Raja Sattiraju, Martin Kasparick, Gerhard P. Fettweis, Frank H. P. Fitzek, Hans D. Schotten, Slawomir Stanczak:
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches. IEEE Access 11: 92459-92477 (2023)- [j62]Fabio Molinari, Navneet Agrawal, Slawomir Stanczak, Jörg Raisch:
Over-the-Air Max-Consensus in Clustered Networks Adopting Half-Duplex Communication Technology. IEEE Trans. Control. Netw. Syst. 10(2): 983-992 (2023) - [j61]Jochen Fink, Renato Luís Garrido Cavalcante, Slawomir Stanczak:
Superiorized Adaptive Projected Subgradient Method With Application to MIMO Detection. IEEE Trans. Signal Process. 71: 1350-1362 (2023) - [j60]Daniyal Amir Awan, Renato Luís Garrido Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach. IEEE Trans. Signal Process. 71: 2103-2117 (2023) - [j59]Patrick Agostini, Zoran Utkovski, Alexis Decurninge, Maxime Guillaud, Slawomir Stanczak:
Constant Weight Codes With Gabor Dictionaries and Bayesian Decoding for Massive Random Access. IEEE Trans. Wirel. Commun. 22(5): 2917-2931 (2023) - [c212]Sebastian Bosse, Karsten Berns, Johannes Bosch, Jörg Dörr, Frederick Charles Eichhorn, Peter Eisert, Christoph Fischer, Eike Gassen, Michael Gerstenberger, Heike Gerighausen, Jonathan Heil, Anna Hilsmann, Jochen Hirth, Christopher Huber, Mortesa Hussaini, Martin Kasparick, Peter Kloke, Hartmut Krause-Edler, Lukas Mackle, Jannes Magnusson, Felix Möhrle, Markus Möller, Peter Pickel, Clemens Rautenberg, Hans Dieter Schotten, Slawomir Stanczak, Lars Thiele, Henrik Ücdemir, Annett Wania, Anthony Stein:
Nachhaltige Landwirtschaft mittels Künstlicher Intelligenz - ein plattformbasierter Ansatz für Forschung und Industrie. GIL Jahrestagung 2023: 41-52 - [c211]Navneet Agrawal, Renato L. G. Cavalcante, Slawomir Stanczak:
Dynamic Distributed Convex Optimization "Over-The-Air" In Decentralized Wireless Networks. ICASSP 2023: 1-5 - [c210]Jochen Fink, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak:
Deep-Unfolded Adaptive Projected Subgradient Method For Mimo Detection. ICASSP 2023: 1-5 - [c209]Ehsan Tohidi, Sven Haesloop, Lars Thiele, Slawomir Stanczak:
Near-Optimal LOS and Orientation Aware Intelligent Reflecting Surface Placement. ICC 2023: 498-504 - [c208]Renato L. G. Cavalcante, Lorenzo Miretti, Slawomir Stanczak:
Characterization of the Weak Pareto Boundary of Resource Allocation Problems in Wireless Networks - Implications to Cell-Less Systems. ICC 2023: 5010-5016 - [c207]Baris Göktepe, Cornelius Hellge, Tatiana Rykova, Thomas Schierl, Slawomir Stanczak:
On the Limits of HARQ Prediction for Short Deterministic Codes with Error Detection in Memoryless Channels. ISIT 2023: 1436-1441 - [c206]Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu:
Coded Distributed Image Classification. MLSP 2023: 1-6 - [c205]Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele, Cara Watermann, Khawla Taleb-Bouhemadi, Mohammad Parvini, Anton Krause, Sanket Partani, Christian Vielhaus, Martin Kasparick, Daniel Fabian Külzer, Friedrich Burmeister, Frank H. P. Fitzek, Hans D. Schotten, Gerhard P. Fettweis, Slawomir Stanczak:
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. VTC2023-Spring 2023: 1-5 - [d2]Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele, Cara Watermann, Khawla Taleb-Bouhemadi, Mohammad Parvini, Anton Krause, Sanket Partani, Christian Vielhaus, Martin Kasparick, Daniel Fabian Külzer, Friedrich Burmeister, Slawomir Stanczak, Gerhard P. Fettweis, Hans D. Schotten, Frank H. P. Fitzek:
Berlin V2X. IEEE DataPort, 2023
- [d1]Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann, Daniel Schäufele, Philipp Geuer, Rafail Ismayilov, Mohammad Parvini, Anton Krause, Martin Kasparick, Thomas Neugebauer, Oscar Dario Ramos-Cantor, Hugues Tchouankem, Jose Leon Calvo, Bo Chen, Slawomir Stanczak, Gerhard P. Fettweis:
AI4Mobile Industrial Wireless Datasets: iV2V and iV2I+. IEEE DataPort, 2023 - [i89]Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann, Daniel Schäufele, Philipp Geuer, Rafail Ismayilov, Mohammad Parvini, Anton Krause, Martin Kasparick, Thomas Neugebauer, Oscar Dario Ramos-Cantor, Hugues Tchouankem, Jose Leon Calvo, Bo Chen, Slawomir Stanczak, Gerhard P. Fettweis:
Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets. CoRR abs/2301.03364 (2023) - [i88]Lorenzo Miretti, Renato L. G. Cavalcante, Emil Björnson, Slawomir Stanczak:
UL-DL duality for cell-free massive MIMO with per-AP power and information constraints. CoRR abs/2301.06520 (2023) - [i87]Alexandros Palaios, Christian L. Vielhaus, Daniel Fabian Külzer, Cara Watermann, Rodrigo Hernangómez, Sanket Partani, Philipp Geuer, Anton Krause, Raja Sattiraju, Martin Kasparick, Gerhard P. Fettweis, Frank H. P. Fitzek, Hans D. Schotten, Slawomir Stanczak:
The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction. CoRR abs/2302.11966 (2023) - [i86]Renato Luís Garrido Cavalcante, Lorenzo Miretti, Slawomir Stanczak:
Characterization of the weak Pareto boundary of resource allocation problems in wireless networks - Implications to cell-less systems. CoRR abs/2304.07067 (2023) - [i85]Patrick Agostini, Zoran Utkovski, Slawomir Stanczak:
BiSPARCs for Unsourced Random Access in Massive MIMO. CoRR abs/2304.14546 (2023) - [i84]Baris Göktepe, Cornelius Hellge, Tatiana Rykova, Thomas Schierl, Slawomir Stanczak:
On the Limits of HARQ Prediction for Short Deterministic Codes with Error Detection in Memoryless Channels (Extended Version with Proofs). CoRR abs/2305.05359 (2023) - [i83]Navneet Agrawal, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments. CoRR abs/2307.04913 (2023) - [i82]Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu:
Coded Distributed Image Classification. CoRR abs/2307.04915 (2023) - [i81]Lorenzo Miretti, Giuseppe Caire, Slawomir Stanczak:
Robust cell-free mmWave/sub-THz access using minimal coordination and coarse synchronization. CoRR abs/2308.02324 (2023) - [i80]Mariam Yahya, Setareh Maghsudi, Slawomir Stanczak:
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization. CoRR abs/2308.16889 (2023) - [i79]Asif Abdullah Rokoni, Daniel Schäufele, Martin Kasparick, Slawomir Stanczak:
From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication. CoRR abs/2309.17086 (2023) - [i78]Philipp Rosemann, Sanket Partani, Marc Miranda, Jannik Mähn, Michael Karrenbauer, William Meli, Rodrigo Hernangómez, Maximilian Lübke, Jacob Kochems, Stefan Köpsell, Anosch Aziz-Koch, Julia Beuster, Oliver Blume, Norman Franchi, Reiner Thomä, Slawomir Stanczak, Hans D. Schotten:
Enabling Mobility-Oriented JCAS in 6G Networks: An Architecture Proposal. CoRR abs/2311.11623 (2023) - 2022
- [j58]Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller:
GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems. IEEE Access 10: 70937-70946 (2022) - [j57]Yunyan Chang, Peter Jung, Chan Zhou, Slawomir Stanczak:
Distributed ranking-based resource allocation for sporadic M2M communication. EURASIP J. Wirel. Commun. Netw. 2022(1): 83 (2022) - [j56]Rodrigo Hernangómez, Tristan Visentin, Lorenzo Servadei, Hamid Khodabakhshandeh, Slawomir Stanczak:
Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation. Sensors 22(4): 1519 (2022) - [j55]Metin Vural, Chun Yuan, Nicola Kleppmann, Peter Jung, Slawomir Stanczak:
Illinois-Type Methods for Noisy Euclidean Distance Realization. IEEE Signal Process. Lett. 29: 2687-2691 (2022) - [j54]Andreas Pfadler, Tom Szollmann, Peter Jung, Slawomir Stanczak:
Leakage Suppression in Pulse-Shaped OTFS Delay-Doppler-Pilot Channel Estimation. IEEE Wirel. Commun. Lett. 11(6): 1181-1185 (2022) - [c204]Stephan Blankenstein, Peter Jung, Igor Bjelakovic, Lars Thiele, Slawomir Stanczak:
A Mobility-Aware Successive Feedback Scheme for 5G and Beyond Multi-User MIMO. IEEECONF 2022: 225-229 - [c203]M. Hossein Attar, Kaixin Chang, Ramez Askar, Slawomir Stanczak, Sebastian Cammerer, Guillermo Marcus, Alexander Keller:
Towards Adaptive Digital Self-Interference Cancellation in Full-Duplex Wireless Transceivers: APSM vs. Neural Networks. IEEECONF 2022: 1223-1227 - [c202]Jan Jonas Brune, Jochen Fink, Slawomir Stanczak:
Deep Unfolded Multi-Group Multicast Beamforming. IEEECONF 2022: 1398-1402 - [c201]Daniel Schäufele, Guillermo Marcus, Nikolaus Binder, Matthias Mehlhose, Alexander Keller, Slawomir Stanczak:
GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access. EUSIPCO 2022: 667-671 - [c200]Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak:
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. EUSIPCO 2022: 1566-1570 - [c199]Rodrigo Hernangómez, Alexandros Palaios, Gayathri Guruvayoorappan, Martin Kasparick, Noor Ul Ain, Slawomir Stanczak:
Online QoS estimation for vehicular radio environments. EUSIPCO 2022: 1701-1705 - [c198]Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak:
Joint optimal beamforming and power control in cell-free massive MIMO. GLOBECOM 2022: 770-775 - [c197]Baris Göktepe, Cornelius Hellge, Thomas Schierl, Slawomir Stanczak:
A hybrid HARQ feedback prediction approach for Single- and Cloud-RANs in the sub-THz regime. GLOBECOM 2022: 2309-2315 - [c196]Jochen Fink, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak:
A Set-Theoretic Approach to Mimo Detection. ICASSP 2022: 5328-5332 - [c195]Andreas Pfadler, Peter Jung, Vlerar Shala, Martin Kasparick, Marc Adrat, Slawomir Stanczak:
Short-Term Prediction of Doubly-Dispersive Channels for Pulse-Shaped OTFS using 2D-ConvLSTM. ICC Workshops 2022: 939-944 - [c194]Ramya Panthangi Manjunath, Mate Boban, Renato L. G. Cavalcante, Chan Zhou, Slawomir Stanczak:
Mechanisms for the Estimation of Prediction Intervals in Vehicular Communication Scenarios. ICC 2022: 4474-4479 - [c193]Navneet Agrawal, Yuqin Qiu, Matthias Frey, Igor Bjelakovic, Setareh Maghsudi, Slawomir Stanczak, Jingge Zhu:
A Learning-Based Approach to Approximate Coded Computation. ITW 2022: 600-605 - [c192]Matthias Frey, Igor Bjelakovic, Janis Nötzel, Slawomir Stanczak:
Semantic Security with Infinite Dimensional Quantum Eavesdropping Channel. ITW 2022: 720-725 - [c191]Patrick Agostini, Zoran Utkovski, Slawomir Stanczak:
Federated Learning for Multipoint Channel Charting. SPAWC 2022: 1-5 - [c190]M. Hossein Attar, Omid Taghizadeh, Kaixin Chang, Ramez Askar, Matthias Mehlhose, Slawomir Stanczak:
Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex Transceivers with Nonlinearity. SPAWC 2022: 1-5 - [c189]Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak, Martin Schubert, Ronald Böhnke, Wen Xu:
Closed-form max-min power control for some cellular and cell-free massive MIMO networks. VTC Spring 2022: 1-7 - [c188]Diego Preciado, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak:
SON Function Coordination in Campus Networks Using Machine Learning. WCNC 2022: 2130-2135 - [c187]Patrick Agostini, Zoran Utkovski, Slawomir Stanczak, Aman Amir Memon, Bilal Zafar, Martin Haardt:
Not-Too-Deep Channel Charting (N2D-CC). WCNC 2022: 2160-2165 - [c186]Maria Bezmenov, Zoran Utkovski, Martin Kasparick, Klaus Sambale, Slawomir Stanczak:
A Probabilistic Model of the Age of Information for Distributed Periodic Reservations in Sidelink. WCNC 2022: 2530-2535 - [i77]Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller:
Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond. CoRR abs/2201.05024 (2022) - [i76]Jochen Fink, Renato L. G. Cavalcante, Slawomir Stanczak:
Superiorized Adaptive Projected Subgradient Method with Application to MIMO Detection. CoRR abs/2203.01116 (2022) - [i75]Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak:
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. CoRR abs/2203.04588 (2022) - [i74]Felix Klement, Stefan Katzenbeisser, Vincent Ulitzsch, Juliane Krämer, Slawomir Stanczak, Zoran Utkovski, Igor Bjelakovic, Gerhard Wunder:
Open or not open: Are conventional radio access networks more secure and trustworthy than Open-RAN? CoRR abs/2204.12227 (2022) - [i73]Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak, Martin Schubert, Ronald Boehnke, Wen Xu:
Closed-form max-min power control for some cellular and cell-free massive MIMO networks. CoRR abs/2205.00429 (2022) - [i72]Matthias Frey, Igor Bjelakovic, Janis Nötzel, Slawomir Stanczak:
Semantic Security with Infinite Dimensional Quantum Eavesdropping Channel. CoRR abs/2205.07663 (2022) - [i71]Navneet Agrawal, Yuqin Qiu, Matthias Frey, Igor Bjelakovic, Setareh Maghsudi, Slawomir Stanczak, Jingge Zhu:
A Learning-Based Approach to Approximate Coded Computation. CoRR abs/2205.09818 (2022) - [i70]Daniel Schäufele, Guillermo Marcus, Nikolaus Binder, Matthias Mehlhose, Alexander Keller, Slawomir Stanczak:
GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access. CoRR abs/2206.05998 (2022) - [i69]Patrick Agostini, Zoran Utkovski, Alexis Decurninge, Maxime Guillaud, Slawomir Stanczak:
Constant Weight Codes with Gabor Dictionaries and Bayesian Decoding for Massive Random Access. CoRR abs/2207.13049 (2022) - [i68]Lorenzo Miretti, Renato Luís Garrido Cavalcante, Slawomir Stanczak:
Joint optimal beamforming and power control in cell-free massive MIMO. CoRR abs/2208.01385 (2022) - [i67]Andreas Pfadler, Tom Szollmann, Peter Jung, Slawomir Stanczak:
Estimation of Doubly-Dispersive Channels in Linearly Precoded Multicarrier Systems Using Smoothness Regularization. CoRR abs/2210.05233 (2022) - [i66]Lorenzo Miretti, Thomas Kühne, Alper Schultze, Wilhelm Keusgen, Giuseppe Caire, Michael Peter, Slawomir Stanczak, Taro Eichler:
Little or no equalization is needed in energy-efficient sub-THz mobile access. CoRR abs/2210.05806 (2022) - [i65]Fariba Armandoust, Ehsan Tohidi, Martin Kasparick, Li Wang, Ahmet Hasim Gokceoglu, Slawomir Stanczak:
MIMO Systems with Reconfigurable Antennas: Joint Channel Estimation and Mode Selection. CoRR abs/2211.13573 (2022) - [i64]Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele, Cara Watermann, Khawla Taleb-Bouhemadi, Mohammad Parvini, Anton Krause, Sanket Partani, Christian Vielhaus, Martin Kasparick, Daniel Fabian Külzer, Friedrich Burmeister, Slawomir Stanczak, Gerhard P. Fettweis, Hans D. Schotten, Frank H. P. Fitzek:
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. CoRR abs/2212.10343 (2022) - 2021
- [j53]Miguel Angel Gutierrez-Estevez, Martin Kasparick, Slawomir Stanczak:
Online Learning of Any-to-Any Path Loss Maps. IEEE Commun. Lett. 25(5): 1573-1577 (2021) - [j52]Omid Taghizadeh, Slawomir Stanczak, Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu:
Full-Duplex Amplify-and-Forward MIMO Relaying: Design and Performance Analysis Under Erroneous CSI and Hardware Impairments. IEEE Open J. Commun. Soc. 2: 1249-1266 (2021) - [j51]Johannes Dommel, Zoran Utkovski, Osvaldo Simeone, Slawomir Stanczak:
Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks. IEEE Signal Process. Lett. 28: 728-732 (2021) - [j50]Metin Vural, Aleksandr Y. Aravkin, Slawomir Stanczak:
$\ell _{1}$-Norm Minimization With Regula Falsi Type Root Finding Methods. IEEE Signal Process. Lett. 28: 2132-2136 (2021) - [j49]Fabio Molinari, Navneet Agrawal, Slawomir Stanczak, Jörg Raisch:
Max-Consensus Over Fading Wireless Channels. IEEE Trans. Control. Netw. Syst. 8(2): 791-802 (2021) - [j48]Lorenzo Miretti, Renato Luís Garrido Cavalcante, Slawomir Stanczak:
Channel Covariance Conversion and Modelling Using Infinite Dimensional Hilbert Spaces. IEEE Trans. Signal Process. 69: 3145-3159 (2021) - [j47]Jochen Fink, Renato Luís Garrido Cavalcante, Slawomir Stanczak:
Multi-Group Multicast Beamforming by Superiorized Projections Onto Convex Sets. IEEE Trans. Signal Process. 69: 5708-5722 (2021) - [j46]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Over-the-Air Computation in Correlated Channels. IEEE Trans. Signal Process. 69: 5739-5755 (2021) - [c185]Alexandros Palaios, Christian Vielhaus, Daniel Fabian Külzer, Philipp Geuer, Raja Sattiraju, Jochen Fink, Martin Kasparick, Cara Watermann, Gerhard P. Fettweis, Frank H. P. Fitzek, Hans D. Schotten, Slawomir Stanczak:
Effect of Spatial, Temporal and Network Features on Uplink and Downlink Throughput Prediction. 5GWF 2021: 418-423 - [c184]Patrick Agostini, Zoran Utkovski, Slawomir Stanczak:
Sparse Superposition Coding with Bayesian Detection for Correlated Unsourced Random Access. ACSCC 2021: 1470-1476 - [c183]Rafail Ismayilov, Renato L. G. Cavalcante, Slawomir Stanczak:
Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems. ICASSP 2021: 4115-4119 - [c182]Daniel Fabian Külzer, Firas Debbichi, Slawomir Stanczak, Mladen Botsov:
On Latency Prediction with Deep Learning and Passive Probing at High Mobility. ICC 2021: 1-7 - [c181]Andreas Pfadler, Peter Jung, Tom Szollmann, Slawomir Stanczak:
Pulse-Shaped OTFS over Doubly-Dispersive Channels: One-Tap vs. Full LMMSE Equalizers. ICC Workshops 2021: 1-6 - [c180]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Towards Secure Over-The-Air Computation. ISIT 2021: 700-705 - [c179]Daniel Fabian Külzer, Slawomir Stanczak, Mladen Botsov:
Interference-Aware Distributed Predictive Resource Allocation for Automotive Applications. ISWCS 2021: 1-6 - [c178]Ramya Panthangi Manjunath, Martin Schubert, Renato L. G. Cavalcante, Mate Boban, Chan Zhou, Slawomir Stanczak:
Proactive Application Rate Requirement Adaptation Mechanism for Sidelinks. PIMRC 2021: 1-6 - [c177]Sida Dai, Martin Kurras, Lars Thiele, Slawomir Stanczak, Litao Chen, Zhimeng Zhong:
Deep Learning for Massive MIMO: Channel Completion for TDD Downlink. PIMRC 2021: 696-702 - [c176]Daniel Fabian Külzer, Slawomir Stanczak, Mladen Botsov:
CDI Maps: Dynamic Estimation of the Radio Environment for Predictive Resource Allocation. PIMRC 2021: 892-898 - [c175]Alexandros Palaios, Philipp Geuer, Jochen Fink, Daniel Fabian Külzer, Fabian Göttsch, Martin Kasparick, Daniel Schäufele, Rodrigo Hernangómez, Sanket Partani, Raja Sattiraju, Atul Kumar, Friedrich Burmeister, Andreas Weinand, Christian Vielhaus, Frank H. P. Fitzek, Gerhard P. Fettweis, Hans D. Schotten, Slawomir Stanczak:
Network under Control: Multi-Vehicle E2E Measurements for AI-based QoS Prediction. PIMRC 2021: 1432-1438 - [c174]Navneet Agrawal, Renato L. G. Cavalcante, Slawomir Stanczak:
Adaptive Estimation of Angular Power Spectra for Time-Varying MIMO Channels. SPAWC 2021: 96-100 - [c173]Johannes Dommel, Dennis Wieruch, Zoran Utkovski, Slawomir Stanczak:
A Semantics-Aware Communication Scheme to Estimate the Empirical Measure of A Quantity of Interest Via Multiple Access Fading Channels. SSP 2021: 521-525 - [c172]Rafail Ismayilov, Renato L. G. Cavalcante, Slawomir Stanczak:
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems. SSP 2021: 581-585 - [c171]Maria Bezmenov, Zoran Utkovski, Klaus Sambale, Slawomir Stanczak:
Semi-Persistent Scheduling with Single Shot Transmissions for Aperiodic Traffic. VTC Spring 2021: 1-7 - [c170]Daniel Fabian Külzer, Martin Kasparick, Alexandros Palaios, Raja Sattiraju, Oscar Dario Ramos-Cantor, Dennis Wieruch, Hugues Tchouankem, Fabian Göttsch, Philipp Geuer, Jens Schwardmann, Gerhard P. Fettweis, Hans D. Schotten, Slawomir Stanczak:
AI4Mobile: Use Cases and Challenges of AI-based QoS Prediction for High-Mobility Scenarios. VTC Spring 2021: 1-7 - [c169]Daniel Schäufele, Martin Kasparick, Jens Schwardmann, Johannes Morgenroth, Slawomir Stanczak:
Terminal-Side Data Rate Prediction For High-Mobility Users. VTC Spring 2021: 1-5 - [c168]Zoran Utkovski, Matthias Frey, Patrick Agostini, Igor Bjelakovic, Slawomir Stanczak:
Semantic Security Based Secrecy Maps for Vehicular Communications. WSA 2021: 1-5 - [c167]Hammad Zafar, Zoran Utkovski, Martin Kasparick, Slawomir Stanczak:
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication. WSA 2021: 1-6 - [i63]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Over-The-Air Computation in Correlated Channels. CoRR abs/2101.04690 (2021) - [i62]Johannes Dommel, Zoran Utkovski, Osvaldo Simeone, Slawomir Stanczak:
Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks. CoRR abs/2101.11309 (2021) - [i61]Jochen Fink, Renato L. G. Cavalcante, Slawomir Stanczak:
Multi-Group Multicast Beamforming by Superiorized Projections onto Convex Sets. CoRR abs/2102.11947 (2021) - [i60]Daniyal Amir Awan, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak:
Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems. CoRR abs/2103.11456 (2021) - [i59]Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak:
Robust Cell-Load Learning with a Small Sample Set. CoRR abs/2103.11467 (2021) - [i58]Ilaria Malanchini, Patrick Agostini, Khurshid Alam, Michael Baumgart, Martin Kasparick, Qi Liao, Fabian Lipp, Nikolaj Marchenko, Nicola Michailow, Rastin Pries, Hans D. Schotten, Slawomir Stanczak, Stanislaw Strzyz:
Leveraging Machine Learning for Industrial Wireless Communications. CoRR abs/2105.02051 (2021) - [i57]Hammad Zafar, Zoran Utkovski, Martin Kasparick, Slawomir Stanczak:
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication. CoRR abs/2107.06195 (2021) - [i56]Miguel Angel Gutierrez-Estevez, Martin Kasparick, Renato L. G. Cavalvante, Slawomir Stanczak:
Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps. CoRR abs/2107.06677 (2021) - [i55]Rafail Ismayilov, Renato L. G. Cavalcante, Slawomir Stanczak:
Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems. CoRR abs/2107.07843 (2021) - [i54]Rafail Ismayilov, Renato L. G. Cavalcante, Slawomir Stanczak:
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems. CoRR abs/2107.07846 (2021) - 2020
- [j45]Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak:
Robust Cell-Load Learning With a Small Sample Set. IEEE Trans. Signal Process. 68: 270-283 (2020) - [j44]Cheng-Xiang Wang, Marco Di Renzo, Slawomir Stanczak, Sen Wang, Erik G. Larsson:
Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges. IEEE Wirel. Commun. 27(1): 16-23 (2020) - [c166]Renato L. G. Cavalcante, Slawomir Stanczak:
Hybrid data and model driven algorithms for angular power spectrum estimation. GLOBECOM 2020: 1-6 - [c165]Daniel Fabian Külzer, Slawomir Stanczak, Renato L. G. Cavalcante, Mladen Botsov:
Predictive Resource Allocation for Automotive Applications Using Interference Calculus. GLOBECOM 2020: 1-7 - [c164]Andreas Pfadler, Peter Jung, Slawomir Stanczak:
Mobility Modes for Pulse-Shaped OTFS with Linear Equalizer. GLOBECOM 2020: 1-6 - [c163]