7 citations · 12 across the 10 of their papers we have counts for
10 papers
Start Stop Bit Method for Efficient Data Communication in 6G Mobile Radio Systems
Wolfgang Zirwas, Berthold Panzner, Rakash Sivasivaganesan +2
In this article, a novel approach for mobile radio communications is proposed and analysed, which is promising for future 6G cooperative distributed MIMO systems. The fundamental i…
Combining AI/ML and PHY Layer Rule Based Inference -- Some First Results
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
In 3GPP New Radio (NR) Release 18 we see the first study item starting in May 2022, which will evaluate the potential of AI/ML methods for Radio Access Network (RAN) 1, i.e., for m…
Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI Recreation
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
Machine learning (ML) applications for wireless communications have gained momentum on the standardization discussions for 5G advanced and beyond. One of the biggest challenges for…
Machine Learning for CSI Recreation Based on Prior Knowledge
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
Knowledge of channel state information (CSI) is fundamental to many functionalities within the mobile wireless communications systems. With the advance of machine learning (ML) and…
Machine Learning for Model Order Selection in MIMO OFDM Systems
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
A variety of wireless channel estimation methods, e.g., MUSIC and ESPRIT, rely on prior knowledge of the model order. Therefore, it is important to correctly estimate the number of…
Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
Massive MIMO is one of the main features of 5G mobile radio systems. However, it often leads to high cost, size and power consumption. To overcome these issues, the use of constrai…
Analysis of Massive MIMO and Base Station Cooperation in an Indoor Scenario
Stefan Dierks, Gerhard Kramer, Berthold Panzner +1
The performance of centralized and distributed massive MIMO deployments are analyzed for indoor office scenarios. The distributed deployments use one of the following precoding met…
Quantized Precoding for Multi-Antenna Downlink Channels with MAGIQ
Andrei Nedelcu, Fabian Steiner, Markus Staudacher +5
A multi-antenna, greedy, iterative, and quantized (MAGIQ) precoding algorithm is proposed for downlink channels. MAGIQ allows a straightforward integration with orthogonal frequenc…
Constructing Receiver Signal Points using Constrained Massive MIMO Arrays
Markus Staudacher, Gerhard Kramer, Wolfgang Zirwas +2
A low cost solution for constructing receiver signal points is investigated that combines a large number of constrained radio frequency (RF) frontends with a limited number of full…
Feasibility Conditions of Interference Alignment via Two Orthogonal Subcarriers
Stefan Dierks, Gerhard Kramer, Wolfgang Zirwas
Conditions are derived on line-of-sight channels to ensure the feasibility of interference alignment. The conditions involve choosing only the spacing between two subcarriers of an…