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Christoph F. Mecklenbrauker
Researcher at Vienna University of Technology
Publications - 343
Citations - 7466
Christoph F. Mecklenbrauker is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Communication channel & MIMO. The author has an hindex of 39, co-authored 328 publications receiving 6618 citations. Previous affiliations of Christoph F. Mecklenbrauker include Brno University of Technology & University of California, San Diego.
Papers
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Time-variant channel estimation using discrete prolate spheroidal sequences
TL;DR: In this article, a low-complexity channel estimator for a multiuser multicarrier code division multiple access (MC-CDMA) downlink in a time-variant frequency-selective channel is proposed and analyzed.
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Vehicular Channel Characterization and Its Implications for Wireless System Design and Performance
Christoph F. Mecklenbrauker,Andreas F. Molisch,Johan Kåredal,Fredrik Tufvesson,Alexander Paier,Laura Bernado,Thomas Zemen,Oliver Klemp,Nicolai Czink +8 more
TL;DR: An overview of the existing vehicular channel measurements in a variety of important environments, and the observed channel characteristics (such as delay spreads and Doppler spreads) therein, is provided.
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A survey on vehicle-to-vehicle propagation channels
TL;DR: In this paper, the authors provide an overview of existing VTV channel measurement campaigns in a variety of important environments, and the channel characteristics (such as delay spreads and Doppler spreads) therein.
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A geometry-based stochastic MIMO model for vehicle-to-vehicle communications
Johan Kåredal,Fredrik Tufvesson,Nicolai Czink,Alexander Paier,Charlotte Dumard,Thomas Zemen,Christoph F. Mecklenbrauker,Andreas F. Molisch +7 more
TL;DR: A new wideband multiple-input-multiple-output (MIMO) model for VTV channels based on extensive MIMO channel measurements performed at 5.2 GHz in highway and rural environments in Lund, Sweden is presented.
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Delay and Doppler Spreads of Nonstationary Vehicular Channels for Safety-Relevant Scenarios
TL;DR: This paper estimates the LSF from a large set of measurements collected in the DRIVEWAY'09 measurement campaign, which focuses on scenarios for intelligent transportation systems (ITSs) and shows that the distribution of these channel parameters follows a bimodal Gaussian mixture distribution.