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ORCIDSlawomir Stanczak
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- affiliation: TU Berlin
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2020 – today
- 2022
[j55]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)- [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) - [c188]Jochen Fink, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak:
A Set-Theoretic Approach to Mimo Detection. ICASSP 2022: 5328-5332 - [c187]Diego Preciado, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak:
SON Function Coordination in Campus Networks Using Machine Learning. WCNC 2022: 2130-2135 - [c186]Patrick Agostini, Zoran Utkovski, Slawomir Stanczak, Aman Amir Memon, Bilal Zafar, Martin Haardt:
Not-Too-Deep Channel Charting (N2D-CC). WCNC 2022: 2160-2165 - [c185]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 - [i71]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) - [i70]Jochen Fink, Renato L. G. Cavalcante, Slawomir Stanczak:
Superiorized Adaptive Projected Subgradient Method with Application to MIMO Detection. CoRR abs/2203.01116 (2022) - [i69]Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak:
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. CoRR abs/2203.04588 (2022) - [i68]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) - [i67]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) - [i66]Matthias Frey, Igor Bjelakovic, Janis Nötzel, Slawomir Stanczak:
Semantic Security with Infinite Dimensional Quantum Eavesdropping Channel. CoRR abs/2205.07663 (2022) - [i65]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) - [i64]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) - 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) - [c184]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 - [c183]Patrick Agostini, Zoran Utkovski, Slawomir Stanczak:
Sparse Superposition Coding with Bayesian Detection for Correlated Unsourced Random Access. ACSCC 2021: 1470-1476 - [c182]Rafail Ismayilov, Renato L. G. Cavalcante, Slawomir Stanczak:
Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems. ICASSP 2021: 4115-4119 - [c181]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 - [c180]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 - [c179]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Towards Secure Over-The-Air Computation. ISIT 2021: 700-705 - [c178]Daniel Fabian Külzer, Slawomir Stanczak, Mladen Botsov:
Interference-Aware Distributed Predictive Resource Allocation for Automotive Applications. ISWCS 2021: 1-6 - [c177]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 - [c176]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 - [c175]Daniel Fabian Külzer, Slawomir Stanczak, Mladen Botsov:
CDI Maps: Dynamic Estimation of the Radio Environment for Predictive Resource Allocation. PIMRC 2021: 892-898 - [c174]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 - [c173]Navneet Agrawal, Renato L. G. Cavalcante, Slawomir Stanczak:
Adaptive Estimation of Angular Power Spectra for Time-Varying MIMO Channels. SPAWC 2021: 96-100 - [c172]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 - [c171]Rafail Ismayilov, Renato L. G. Cavalcante, Slawomir Stanczak:
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems. SSP 2021: 581-585 - [c170]Maria Bezmenov, Zoran Utkovski, Klaus Sambale, Slawomir Stanczak:
Semi-Persistent Scheduling with Single Shot Transmissions for Aperiodic Traffic. VTC Spring 2021: 1-7 - [c169]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 - [c168]Daniel Schäufele, Martin Kasparick, Jens Schwardmann, Johannes Morgenroth, Slawomir Stanczak:
Terminal-Side Data Rate Prediction For High-Mobility Users. VTC Spring 2021: 1-5 - [c167]Zoran Utkovski, Matthias Frey, Patrick Agostini, Igor Bjelakovic, Slawomir Stanczak:
Semantic Security Based Secrecy Maps for Vehicular Communications. WSA 2021: 1-5 - [c166]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) - [c165]Renato L. G. Cavalcante, Slawomir Stanczak:
Hybrid data and model driven algorithms for angular power spectrum estimation. GLOBECOM 2020: 1-6 - [c164]Daniel Fabian Külzer, Slawomir Stanczak, Renato L. G. Cavalcante, Mladen Botsov:
Predictive Resource Allocation for Automotive Applications Using Interference Calculus. GLOBECOM 2020: 1-7 - [c163]Andreas Pfadler, Peter Jung, Slawomir Stanczak:
Mobility Modes for Pulse-Shaped OTFS with Linear Equalizer. GLOBECOM 2020: 1-6 - [c162]Omid Taghizadeh, Slawomir Stanczak, Hiroki Iimori, Giuseppe Abreu:
Full-Duplex AF MIMO Relaying: Impairments Aware Design and Performance Analysis. GLOBECOM 2020: 1-6 - [c161]Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Patrick Agostini, Daniel Schäufele, Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Quality-of-Service Prediction for Physical-layer Security via Secrecy Maps. ICASSP 2020: 2867-2871 - [c160]Jochen Fink, Renato L. G. Cavalcante, Slawomir Stanczak:
Online Channel Estimation for Hybrid Beamforming Architectures. ICASSP 2020: 4995-4999 - [c159]Patrick Agostini, Zoran Utkovski, Slawomir Stanczak:
Channel Charting: an Euclidean Distance Matrix Completion Perspective. ICASSP 2020: 5010-5014 - [c158]Renato L. G. Cavalcante, Slawomir Stanczak:
Channel Covariance Estimation in Multiuser Massive Mimo Systems with an Approach Based on Infinite Dimensional Hilbert Spaces. ICASSP 2020: 5180-5184 - [c157]Johannes Dommel, Zoran Utkovski, Slawomir Stanczak, Osvaldo Simeone:
Joint Source-Channel Coding and Bayesian Message Passing Detection for Grant-Free Radio Access in IoT. ICASSP 2020: 8574-8578 - [c156]Matthias Mehlhose, Daniyal Amir Awan, Renato L. G. Cavalcante, Martin Kurras, Slawomir Stanczak:
Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform. ICC 2020: 1-5 - [c155]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Over-The-Air Computation in Correlated Channels. ITW 2020: 1-5 - [c154]Daniel Fabian Külzer, Slawomir Stanczak, Mladen Botsov:
Novel QoS Control Framework for Automotive Safety-Related and Infotainment Services. WCNC 2020: 1-7 - [c153]Jochen Fink, Martin Kasparick, Slawomir Stanczak:
Robust Submodular RRH Selection for Joint Multicast Downlink Transmission. WSA 2020: 1-6 - [c152]Andreas Pfadler, Peter Jung, Slawomir Stanczak:
Pulse-Shaped OTFS for V2X Short-Frame Communication with Tuned One-Tap Equalization. WSA 2020: 1-6 - [i53]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Securing Distributed Function Approximation via Coding for Continuous Compound Channels. CoRR abs/2001.03174 (2020) - [i52]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. CoRR abs/2001.08159 (2020) - [i51]Fabio Molinari, Navneet Agrawal, Slawomir Stanczak, Jörg Raisch:
Max-Consensus Over Fading Wireless Channels. CoRR abs/2005.05629 (2020) - [i50]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Over-The-Air Computation for Distributed Machine Learning. CoRR abs/2007.02648 (2020) - [i49]Omid Taghizadeh, Slawomir Stanczak, Hiroki Iimori, Giuseppe Abreu:
Full-Duplex Amplify-and-Forward MIMO Relaying: Impairments Aware Design and Performance Analysis. CoRR abs/2008.06063 (2020)
2010 – 2019
- 2019
- [j43]Renato L. G. Cavalcante, Qi Liao, Slawomir Stanczak:
Connections Between Spectral Properties of Asymptotic Mappings and Solutions to Wireless Network Problems. IEEE Trans. Signal Process. 67(10): 2747-2760 (2019) - [c151]Johannes Dommel, Zoran Utkovski, Lars Thiele, Slawomir Stanczak:
Sparse Code-Domain Non-Orthogonal Random Access with Peeling Decoder. ACSSC 2019: 984-988 - [c150]Igor Bjelakovic, Matthias Frey, Slawomir Stanczak:
Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem. Allerton 2019: 1146-1153 - [c149]Panthangi M. Ramya, Mate Boban, Chan Zhou, Slawomir Stanczak:
Online Learning Framework for V2V Link Quality Prediction. GLOBECOM 2019: 1-6 - [c148]Jochen Fink, Renato L. G. Cavalcante, Slawomir Stanczak:
Multicast Beamforming Using Semidefinite Relaxation and Bounded Perturbation Resilience. ICASSP 2019: 4749-4753 - [c147]Renato L. G. Cavalcante, Slawomir Stanczak:
Weakly Standard Interference Mappings: Existence of Fixed Points and Applications to Power Control in Wireless Networks. ICASSP 2019: 4824-4828 - [c146]Navneet Agrawal, Matthias Frey, Slawomir Stanczak:
A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks. SPAWC 2019: 1-5 - [c145]Daniel Schäufele, Renato L. G. Cavalcante, Slawomir Stanczak:
Tensor Completion for Radio Map Reconstruction using Low Rank and Smoothness. SPAWC 2019: 1-5 - [c144]Zoran Utkovski, Patrick Agostini, Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Learning Radio Maps for Physical-Layer Security in the Radio Access. SPAWC 2019: 1-5 - [c143]Panthangi M. Ramya, Mate Boban, Chan Zhou, Slawomir Stanczak:
Using Learning Methods for V2V Path Loss Prediction. WCNC 2019: 1-6 - [c142]Jochen Fink, Daniel Schäufele, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak:
Cooperative Localization by Set-theoretic Estimation. WSA 2019: 65-72 - [i48]Navneet Agrawal, Matthias Frey, Slawomir Stanczak:
A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks. CoRR abs/1903.02885 (2019) - [i47]Renato Luís Garrido Cavalcante, Qi Liao, Slawomir Stanczak:
Connections between spectral properties of asymptotic mappings and solutions to wireless network problems. CoRR abs/1903.09793 (2019) - [i46]Igor Bjelakovic, Matthias Frey, Slawomir Stanczak:
Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem. CoRR abs/1907.03777 (2019) - [i45]Johannes Dommel, Zoran Utkovski, Slawomir Stanczak, Osvaldo Simeone:
Joint Source-Channel Coding and Bayesian Message Passing Detection for Grant-Free Radio Access in IoT. CoRR abs/1910.11704 (2019) - [i44]Matthias Mehlhose, Daniyal Amir Awan, Renato L. G. Cavalcante, Martin Kurras, Slawomir Stanczak:
Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform. CoRR abs/1911.04291 (2019) - 2018
- [j42]Carsten Bockelmann, Nuno K. Pratas, Gerhard Wunder, Stephan Saur, Monica Navarro, David Gregoratti, Guillaume Vivier, Elisabeth de Carvalho, Yalei Ji, Cedomir Stefanovic, Petar Popovski, Qi Wang, Malte Schellmann, Evangelos A. Kosmatos, Panagiotis Demestichas, Miruna Raceala-Motoc, Peter Jung, Slawomir Stanczak, Armin Dekorsy:
Towards Massive Connectivity Support for Scalable mMTC Communications in 5G Networks. IEEE Access 6: 28969-28992 (2018) - [j41]Steffen Limmer, Slawomir Stanczak:
A Neural Architecture for Bayesian Compressive Sensing Over the Simplex via Laplace Techniques. IEEE Trans. Signal Process. 66(22): 6002-6015 (2018) - [j40]Jan Schreck, Peter Jung, Slawomir Stanczak:
Compressive Rate Estimation With Applications to Device-to-Device Communications. IEEE Trans. Wirel. Commun. 17(10): 7001-7012 (2018) - [c141]Miruna Raceala-Motoc, Steffen Limmer, Igor Bjelakovic, Slawomir Stanczak:
Distributed Machine Learning in the Context of Function Computation over Wireless Networks. ACSSC 2018: 291-297 - [c140]Renato L. G. Cavalcante, Slawomir Stanczak, Dominic Schupke, Jirka Klaue:
Low-complexity distributed set-theoretic decoders for analog fountain codes. ACSSC 2018: 1480-1484 - [c139]Fabio Molinari, Slawomir Stanczak, Jörg Raisch:
Exploiting the Superposition Property of Wireless Communication For Average Consensus Problems in Multi-Agent Systems. ECC 2018: 1766-1772 - [c138]Jochen Fink, Renato L. G. Cavalcante, Peter Jung, Slawomir Stanczak:
Extrapolated Projection Methods for PAPR Reduction. EUSIPCO 2018: 1810-1814 - [c137]Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak:
Downlink Channel Spatial Covariance Estimation in Realistic FDD Massive MIMO Systems. GlobalSIP 2018: 161-165 - [c136]Daniyal Amir Awan, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak:
Set-Theoretic Learning for Detection in Cell-Less C-Ran Systems. GlobalSIP 2018: 589-593 - [c135]Renato L. G. Cavalcante, Lorenzo Miretti, Slawomir Stanczak:
Error Bounds for FDD Massive MIMO Channel Covariance Conversion with Set-Theoretic Methods. GLOBECOM 2018: 1-7 - [c134]Miruna Raceala-Motoc, Peter Jung, Zoran Utkovski, Slawomir Stanczak:
C-RAN-Assisted Non-Coherent Grant-Free Random Access Based on Compute-and-Forward. GLOBECOM Workshops 2018: 1-7 - [c133]Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak:
A Robust Machine Learning Method for Cell-Load Approximation in Wireless Networks. ICASSP 2018: 2601-2605 - [c132]Lorenzo Miretti, Renato Luís Garrido Cavalcante, Slawomir Stanczak:
FDD Massive MIMO Channel Spatial Covariance Conversion Using Projection Methods. ICASSP 2018: 3609-3613 - [c131]Renato Luís Garrido Cavalcante, Slawomir Stanczak:
Spectral Radii of Asymptotic Mappings and the Convergence Speed of the Standard Fixed Point Algorithm. ICASSP 2018: 4509-4513 - [c130]Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. ICC 2018: 1-6 - [c129]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Resolvability on Continuous Alphabets. ISIT 2018: 2037-2041 - [c128]Patrick Agostini, Zoran Utkovski, Jens Pilz, Slawomir Stanczak:
Scalable Massive Random Access in C- RAN with Fronthaul Limitations. ISWCS 2018: 1-5 - [c127]Miguel Angel Gutierrez-Estevez, Renato L. G. Cavalcante, Slawomir Stanczak:
Nonparametric Radio Maps Reconstruction Via Elastic Net Regularization with Multi-Kernels. SPAWC 2018: 1-5 - [i43]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Resolvability on Continuous Alphabets. CoRR abs/1801.03964 (2018) - [i42]Renato L. G. Cavalcante, Slawomir Stanczak:
Spectral radii of asymptotic mappings and the convergence speed of the standard fixed point algorithm. CoRR abs/1803.05671 (2018) - [i41]Carsten Bockelmann, Nuno K. Pratas, Gerhard Wunder, Stephan Saur, Monica Navarro, David Gregoratti, Guillaume Vivier, Elisabeth de Carvalho, Yalei Ji, Cedomir Stefanovic, Petar Popovski, Qi Wang, Malte Schellmann, Evangelos A. Kosmatos, Panagiotis Demestichas, Miruna Raceala-Motoc, Peter Jung, Slawomir Stanczak, Armin Dekorsy:
Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks. CoRR abs/1804.01701 (2018) - [i40]Renato Luís Garrido Cavalcante, Lorenzo Miretti, Slawomir Stanczak:
Error Bounds for FDD Massive MIMO Channel Covariance Conversion with Set-Theoretic Methods. CoRR abs/1804.08461 (2018) - [i39]Fabio Molinari, Slawomir Stanczak, Jörg Raisch:
Exploiting the Superposition Property of Wireless Communication For Average Consensus Problems in Multi-Agent Systems. CoRR abs/1804.10418 (2018) - [i38]Fabio Molinari, Slawomir Stanczak, Jörg Raisch:
Exploiting the Superposition Property of Wireless Communication for Max-Consensus Problems in Multi-Agent Systems. CoRR abs/1805.06724 (2018) - 2017
- [j39]Renato Luís Garrido Cavalcante, Martin Kasparick, Slawomir Stanczak:
Max-Min Utility Optimization in Load Coupled Interference Networks. IEEE Trans. Wirel. Commun. 16(2): 705-716 (2017) - [c126]Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
MAC resolvability: First and second order results. CNS 2017: 560-564 - [c125]Renato L. G. Cavalcante, Slawomir Stanczak:
The role of asymptotic functions in network optimization and feasibility studies. GlobalSIP 2017: 563-567 - [c124]Renato L. G. Cavalcante, Slawomir Stanczak:
Peak load minimization in load coupled interference networks. ICASSP 2017: 3729-3733 - [c123]Metin Vural, Peter Jung, Slawomir Stanczak:
A new outlier detection method based on anti-sparse representations. SIU 2017: 1-4 - [c122]