Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Euchner, Florian"'
Distributed massive MIMO is considered a key advancement for improving the performance of next-generation wireless telecommunication systems. However, its efficacy in scenarios involving user mobility is limited due to channel aging. To address this
Externí odkaz:
http://arxiv.org/abs/2410.11486
Autor:
Euchner, Florian, Brink, Stephan ten
The use of WiFi signals to sense the physical environment is gaining popularity, with some common applications being motion detection and transmitter localization. Standard-compliant WiFi provides a cost effective, easy and backward-compatible approa
Externí odkaz:
http://arxiv.org/abs/2408.16377
Channel Charting is a dimensionality reduction technique that reconstructs a map of the radio environment from similarity relationships found in channel state information. Distances in the channel chart are often computed based on some dissimilarity
Externí odkaz:
http://arxiv.org/abs/2404.09620
Wireless channel models are a commonly used tool for the development of wireless telecommunication systems and standards. The currently prevailing geometry-based stochastic channel models (GSCMs) were manually specified for certain environments in a
Externí odkaz:
http://arxiv.org/abs/2403.05321
Channel Charting aims to construct a map of the radio environment by leveraging similarity relationships found in high-dimensional channel state information. Although resulting channel charts usually accurately represent local neighborhood relationsh
Externí odkaz:
http://arxiv.org/abs/2312.01968
Channel charting is a self-supervised learning technique whose objective is to reconstruct a map of the radio environment, called channel chart, by taking advantage of similarity relationships in high-dimensional channel state information. We provide
Externí odkaz:
http://arxiv.org/abs/2308.09539
When operating massive multiple-input multiple-output (MIMO) systems with uplink (UL) and downlink (DL) channels at different frequencies (frequency division duplex (FDD) operation), acquisition of channel state information (CSI) for downlink precodi
Externí odkaz:
http://arxiv.org/abs/2209.10977
A distributed massive MIMO channel sounder for acquiring large CSI datasets, dubbed DICHASUS, is presented. The measured data has potential applications in the study of various machine learning algorithms for user localization, JCAS, channel charting
Externí odkaz:
http://arxiv.org/abs/2206.15302
The objective of channel charting is to learn a virtual map of the radio environment from high-dimensional CSI that is acquired by a multi-antenna wireless system. Since, in static environments, CSI is a function of the transmitter location, a mappin
Externí odkaz:
http://arxiv.org/abs/2206.09774
Synchronization of transceiver chains is a major challenge in the practical realization of massive MIMO and especially distributed massive MIMO. While frequency synchronization is comparatively easy to achieve, estimating the carrier phase and sampli
Externí odkaz:
http://arxiv.org/abs/2206.05984