Zobrazeno 1 - 10
of 1 448
pro vyhledávání: '"Koller Michael"'
In this work, we propose a versatile feedback scheme which can be deployed for both single- and multi-user multiple-input multiple-output (MIMO) frequency division duplex (FDD) systems. Particularly, we propose to use a Gaussian mixture model (GMM) w
Externí odkaz:
http://arxiv.org/abs/2304.14373
This paper investigates the mean square error (MSE)-optimal conditional mean estimator (CME) in one-bit quantized systems in the context of channel estimation with jointly Gaussian inputs. We analyze the relationship of the generally nonlinear CME to
Externí odkaz:
http://arxiv.org/abs/2212.04470
In this work, we use real-world data in order to evaluate and validate a machine learning (ML)-based algorithm for physical layer functionalities. Specifically, we apply a recently introduced Gaussian mixture model (GMM)-based algorithm in order to e
Externí odkaz:
http://arxiv.org/abs/2207.14150
We propose a precoder codebook construction and feedback encoding scheme which is based on Gaussian mixture models (GMMs). In an offline phase, the base station (BS) first fits a GMM to uplink (UL) training samples. Thereafter, it designs a codebook
Externí odkaz:
http://arxiv.org/abs/2205.12002
We propose to utilize a variational autoencoder (VAE) for data-driven channel estimation. The underlying true and unknown channel distribution is modeled by the VAE as a conditional Gaussian distribution in a novel way, parameterized by the respectiv
Externí odkaz:
http://arxiv.org/abs/2205.05345
Autor:
Fesl, Benedikt, Joham, Michael, Hu, Sha, Koller, Michael, Turan, Nurettin, Utschick, Wolfgang
In this work, we propose variations of a Gaussian mixture model (GMM) based channel estimator that was recently proven to be asymptotically optimal in the minimum mean square error (MMSE) sense. We account for the need of low computational complexity
Externí odkaz:
http://arxiv.org/abs/2205.03634
Autor:
van der Weijst, Lotte, Machingura, Abigirl, Alanya, Ahu, Lidington, Emma, Velikova, Galina, Flechtner, Hans-Henning, Schmidt, Heike, Lehmann, Jens, Ramage, John K., Ringash, Jolie, Wac, Katarzyna, Oliver, Kathy, Taylor, Katherine J., Wintner, Lisa, Senna, Lúcia P.C., Koller, Michael, Husson, Olga, Bultijnck, Renée, Wilson, Roger, Singer, Susanne, Bjelic-Radisic, Vesna, van der Graaf, Winette T.A., Pe, Madeline
Publikováno v:
In European Journal of Cancer November 2024 212
Autor:
Hopf, Nancy B., Rousselle, Christophe, Poddalgoda, Devika, Lamkarkach, Farida, Bessems, Jos, Schmid, Kaspar, Jones, Kate, Takaki, Koki, Casteleyn, Ludwine, Zare Jeddi, Maryam, Bader, Michael, Koller, Michael, Browne, Patience, FitzGerald, Rex, Viegas, Susana, Göen, Thomas, Santonen, Tiina, Väänänen, Virpi, Duca, Radu - Corneliu, Pasanen-Kase, Robert
Publikováno v:
In Environment International September 2024 191
This paper investigates a channel estimator based on Gaussian mixture models (GMMs) in the context of linear inverse problems with additive Gaussian noise. We fit a GMM to given channel samples to obtain an analytic probability density function (PDF)
Externí odkaz:
http://arxiv.org/abs/2112.12499