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Stefan Wesemann
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2020 – today
- 2024
- [j7]Nuwanthika Rajapaksha
, Jafar Mohammadi
Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks With Asymmetric Loss. IEEE Trans. Veh. Technol. 73(5): 6600-6613 (2024) - 2023
- [j6]Stefan Wesemann, Jinfeng Du, Harish Viswanathan:
Energy Efficient Extreme MIMO: Design Goals and Directions. IEEE Commun. Mag. 61(10): 132-138 (2023) - [c21]Yejian Chen, Stefan Wesemann, Thorsten Wild:
Turbo AI, Part V: Verifying AI-Enhanced Channel Estimation for RAN from System Level. EuCNC/6G Summit 2023: 78-83 - [c20]Nuan Song, Stefan Wesemann, Tao Yang:
A Low-Complexity Krylov-Beamspace Beamforming for FDD Massive MIMO. ICC 2023: 1536-1541 - [i6]Stefan Wesemann, Jinfeng Du, Harish Viswanathan:
Energy Efficient Design of Extreme Massive MIMO. CoRR abs/2301.01119 (2023) - 2022
- [j5]Muhammad Karam Shehzad
ML-Based Massive MIMO Channel Prediction: Does It Work on Real-World Data? IEEE Wirel. Commun. Lett. 11(4): 811-815 (2022) - [c19]Yejian Chen, Jafar Mohammadi, Stefan Wesemann, Thorsten Wild:
Turbo AI, Part IV: Estimating Uplink Channels for Ultra High Mobility with Sparse Pilots. PIMRC 2022: 1374-1379 - [i5]Muhammad Karam Shehzad, Luca Rose, Stefan Wesemann, Mohamad Assaad, Syed Ali Hassan:
Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach using Empirical Data. CoRR abs/2208.11951 (2022) - 2021
- [c18]Yejian Chen, Jafar Mohammadi, Stefan Wesemann, Thorsten Wild:
Turbo-AI, Part II: Multi-Dimensional Iterative ML-Based Channel Estimation for B5G. VTC Spring 2021: 1-5 - [c17]Yejian Chen, Jafar Mohammadi, Stefan Wesemann, Thorsten Wild:
Turbo-AI, Part I: Iterative Machine Learning Based Channel Estimation for 2D Massive Arrays. VTC Spring 2021: 1-6 - [c16]Karthik Upadhya
Nonlinear Precoding for Quantized Outphasing RF Chains in Massive MIMO Systems. VTC Spring 2021: 1-6 - 2020
- [c15]Son T. Le, Stefan Wesemann, Roman Dischler, Sivarama Venkatesan:
A Joint Wireless-Optical Front-haul Solution for Multi-user Massive MIMO 5G RAN. ECOC 2020: 1-4 - [c14]Peter Neuhaus, Meik Dörpinghaus, Hardy Halbauer, Stefan Wesemann, Martin Schlüter, Florian Gast, Gerhard P. Fettweis:
Sub-THz Wideband System Employing 1-bit Quantization and Temporal Oversampling. ICC 2020: 1-7 - [i4]Son T. Le, Stefan Wesemann, Roman Dischler, Sivarama Venkatesan:
A Joint Wireless-Optical Front-haul Solution for Multi-user Massive MIMO 5G RAN. CoRR abs/2011.12214 (2020)
2010 – 2019
- 2019
- [j4]Stefan Schwarz
Grassmannian Product Codebooks for Limited Feedback Massive MIMO With Two-Tier Precoding. IEEE J. Sel. Top. Signal Process. 13(5): 1119-1135 (2019) - [j3]Bile Peng
Precoding and Detection for Broadband Single Carrier Terahertz Massive MIMO Systems Using LSQR Algorithm. IEEE Trans. Wirel. Commun. 18(2): 1026-1040 (2019) - [c13]Jobin Francis
Downlink Power Control in Cell-free Massive MIMO with Partially Distributed Access Points. VTC Fall 2019: 1-7 - [c12]Dinh Thuy Phan Huy, Stefan Wesemann, Philippe Sehier:
How Wireless Dumb Devices Could Attain High Data Rates Thanks to Smart Massive MIMO Networks. WSA 2019: 126-133 - [c11]Christoph Hellings, Aymen Dehmani, Stefan Wesemann, Michael Koller, Wolfgang Utschick:
Evaluation of Neural-Network-Based Channel Estimators Using Measurement Data. WSA 2019: 164-168 - 2018
- [c10]Dinh Thuy Phan Huy, Stefan Wesemann, Joachim Björsell, Mikael Sternad:
Adaptive Massive MIMO for fast moving connected vehicles: It will work with Predictor Antennas! WSA 2018: 1-8 - [c9]Andrei S. Nedelcu, Fabian Steiner, Markus Staudacher, Gerhard Kramer, Wolfgang Zirwas, Rakash SivaSiva Ganesan, Paolo Baracca, Stefan Wesemann:
Quantized Precoding for Multi-Antenna Downlink Channels with MAGIQ. WSA 2018: 1-8 - 2017
- [j2]Stefan Wesemann, Thomas L. Marzetta:
Channel Training for Analog FDD Repeaters: Optimal Estimators and Cramér-Rao Bounds. IEEE Trans. Signal Process. 65(23): 6158-6170 (2017) - [c8]Stefan Wesemann, Heinz Schlesinger, Andreas Pascht, Oliver Blume:
Measurement and Characterization of the Temporal Behavior of Fixed Massive MIMO Links. WSA 2017: 1-8 - [i3]Andrei S. Nedelcu, Fabian Steiner, Markus Staudacher, Gerhard Kramer, Wolfgang Zirwas, Rakash SivaSiva Ganesan, Paolo Baracca, Stefan Wesemann:
Quantized Precoding for Multi-Antenna Downlink Channels with MAGIQ. CoRR abs/1712.08735 (2017) - 2016
- [c7]Stefan Wesemann:
Semi-Blind Estimation of FDD Massive MIMO Channels using Correlative Coded Analog Feedback. WSA 2016: 1-7 - [i2]Stefan Wesemann, Thomas L. Marzetta:
Channel Training for Analog FDD Repeaters: Optimal Estimators and Cramér-Rao Bounds. CoRR abs/1610.03260 (2016) - 2014
- [j1]Stefan Wesemann, Gerhard P. Fettweis:
Distributed Asynchronous Optimization Framework for the MISO Interference Channel. IEEE Trans. Signal Process. 62(22): 5809-5824 (2014) - [c6]Stefan Wesemann, Wolfgang Rave, Gerhard P. Fettweis:
Unifying viewpoints on distributed asynchronous optimization for MISO interference channels. SPAWC 2014: 229-233 - [i1]Stefan Wesemann, Gerhard P. Fettweis:
Distributed Asynchronous Optimization Framework for the MISO Interference Channel. CoRR abs/1404.3525 (2014) - 2013
- [c5]Stefan Wesemann, Gerhard P. Fettweis:
Convergence analysis of the simplified distributed interference pricing in wireless networks. PIMRC 2013: 1244-1248 - 2012
- [c4]Stefan Wesemann, Gerhard P. Fettweis:
Decentralized formation of uplink CoMP clusters based on affinity propagation. ISWCS 2012: 850-854 - [c3]Stefan Wesemann, Wolfgang Rave, Gerhard P. Fettweis:
Decentralized intercell interference coordination for fair resource allocation in large-scale networks. WSA 2012: 201-208 - 2011
- [c2]Stefan Wesemann, Wolfgang Rave, Gerhard P. Fettweis:
Combinatorial advantages due to joint resource allocation in uplink CoMP systems. ISWCS 2011: 740-744
2000 – 2009
- 2007
- [c1]Ying Wang, Job Oostveen, Alessio Filippi, Stefan Wesemann:
A Novel Preamble Scheme for Packet-Based OFDM WLAN. WCNC 2007: 1481-1485
Coauthor Index
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