Matthias Mehlhose

Matthias Mehlhose
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut | HHI · Department of Wireless Communications and Networks

Master of Science

About

14
Publications
1,448
Reads
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83
Citations
Citations since 2016
12 Research Items
81 Citations
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Additional affiliations
May 2012 - present
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut
Position
  • Research Associate

Publications

Publications (14)
Preprint
This paper presents a kernel-based adaptive filter that is applied for the digital domain self-interference cancellation (SIC) in a transceiver operating in full-duplex (FD) mode. In FD, the benefit of simultaneous transmission and receiving of signals comes at the price of strong self-interference (SI). In this work, we are primarily interested in...
Preprint
Non-orthogonal multiple access (NOMA) is an interesting technology that enables massive connectivity as required in future 5G and 6G networks. While purely linear processing already achieves good performance in NOMA systems, in certain scenarios, non-linear processing is mandatory to ensure acceptable performance. In this paper, we propose a neural...
Preprint
Adaptive partial linear beamforming meets the need of 5G and future 6G applications for high flexibility and adaptability. Choosing an appropriate tradeoff between conflicting goals opens the recently proposed multiuser (MU) detection method. Due to their high spatial resolution, nonlinear beamforming filters can significantly outperform linear app...
Article
Full-text available
We have implemented a recently proposed partially linear multiuser detection algorithm in reproducing kernel Hilbert spaces (RKHSs) on a GPU-accelerated platform. Our proof of concept combines the robustness of linear detection and non-linear detection for the non-orthogonal multiple access (NOMA) based massive connectivity scenario. Mastering the...
Preprint
Full-text available
Conventional multiuser detection techniques either require a large number of antennas at the receiver for a desired performance, or they are too complex for practical implementation. Moreover, many of these techniques, such as successive interference cancellation (SIC), suffer from errors in parameter estimation (user channels, covariance matrix, n...
Conference Paper
Massive MIMO and beamforming is commonly considered as one of the key technologies for future cellular communications. It is targeted to solve the capacity requirements in enhanced mobile broadband and enable new services in other communication fields, e.g. machine type communications. In this work, we study M-MIMO technology in a novel approach, c...
Article
Mobile broadband networks will face a tremendous growth in data traffic demand over the next 20 years. A key requirement for the evolution of radio access networks is the increase in the amount of spectrum and optimized spectrum usage, in order to meet future service demands. More efficient spectrum use will come with evolving technology features a...
Conference Paper
Full-text available
Verification of first 5G concepts of a new air interface with real hardware prototypes is challenging. In this paper, we highlight a flexible software-defined radio (SDR) platform which can be used to implement novel 5G communication concepts. The proposed software and hardware architecture was previously used to implement early LTE-Advanced featur...
Article
Full-text available
We describe an efficient fixed-point calculation of the weight matrices for a linear MMSE equalizer in a MIMO-OFDM system intended for the large numbers of antennas typical for cooperative base stations. Our real-time implementation is numerically stable also in critical channels with reduced rank. Implementation loss due to the 16 bit fixed-point...

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