Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Michael Joham"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 248-256 (2024)
Channel state information (CSI) is crucial for enhancing the performance of wireless systems by allowing to adjust the transmission strategies based on the current channel conditions. However, obtaining precise CSI is difficult because of the fast-ch
Externí odkaz:
https://doaj.org/article/aa44b5417c254b8e9ce9974c07d34a95
Publikováno v:
IEEE Transactions on Wireless Communications. 22:2886-2900
To fully unlock the benefits of multiple-input multiple-output (MIMO) networks, downlink channel state information (CSI) is required at the base station (BS). In frequency division duplex (FDD) systems, the CSI is acquired through a feedback signal f
Publikováno v:
IEEE Transactions on Wireless Communications. 21:6495-6507
We propose an innovative machine learning-based technique to address the problem of channel acquisition at the base station in frequency division duplex systems. In this context, the base station reconstructs the full channel state information in the
In this letter, we propose a Gaussian mixture model (GMM)-based channel estimator which is learned on imperfect training data, i.e., the training data are solely comprised of noisy and sparsely allocated pilot observations. In a practical application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d10a2e79f6bd4d6375fa22f0cf8c4c3
Publikováno v:
2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC).
In this work, we present new results for the application of rate splitting multiple access (RSMA) to the downlink (DL) of a massive multiple-input-multiple-output (MaMIMO) system operating in frequency-division-duplex (FDD) mode. Due to the lack of u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f32f2f388484b48db0c7912b09fc6e8
Publikováno v:
ISWCS
In this work, we present a two-sample tests analysis based on the maximum mean discrepancy metric to validate the recently proposed uplink-downlink conjecture for frequency division duplex systems. This novel concept shows that a neural network train
Publikováno v:
ICC Workshops
It has been shown that rate-splitting multiple access (RSMA) promises high data rates with superior performance especially under imperfect channel state information (CSI) and the possibility to fulfill various quality of service constraints. In this
Publikováno v:
PIMRC
It has been shown that rate splitting multiple access (RSMA) promises high data rates in the multi-user multiple-input single-output broadcast channel (MISO BC) with superior performance under imperfect channel state information (CSI) and the possibi
Publikováno v:
IEEE Signal Processing Letters. 25:863-867
Interference during the uplink training phase significantly deteriorates the performance of a massive MIMO system. The impact of the interference can be reduced by exploiting second order statistics of the channel vectors, e.g., to obtain minimum mea