X Ma, Z Gao, F Gao, M Di Renzo - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
… feedback overhead of FDD massiveMIMOsystems, the authors … at the BS using a deep learning-based recovery solver. However… Therefore, the authors of [31] designed a deeplearning-…
CJ Chun, JM Kang, IM Kim - IEEE Wireless Communications …, 2019 - ieeexplore.ieee.org
… We consider the downlink of a massiveMIMOsystem, in which the transmitter is equipped with Nt antennas and the receiver is equipped with Nr antennas. The channel from the …
… Also, in [25] and [26], deeplearning based direction-of-arrival (DOA) estimation technique and hybrid precoding design technique have been developed for the massiveMIMOsystem, …
… is a challenging task because of the huge pilot and feedback overhead due to the large size … deep network for the channelestimation with the aim of decreasing the pilot and feedback …
F Sohrabi, KM Attiah, W Yu - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
… massiveMIMOsystem design. The key observation of this paper is that the multiuser channel estimation, quantization and feedback … but where the machinelearning approach can have …
… also been proposed for massiveMIMOchannelestimation and feedback, in order … massive MIMO CSI matrices. Data-driven approaches train neuralnetwork (NN) structures over large …
H Sun, Z Zhao, X Fu, M Hong - 2018 IEEE 19th International …, 2018 - ieeexplore.ieee.org
… In this work, we propose a novel channelestimation approach based on a … massiveMIMO channel. The idea is to model the downlink channel with a few paths as a low-rank channel, …
M Zamanipour - arXiv preprint arXiv:1910.03390, 2019 - arxiv.org
… system parameters in the context of channelestimation, … of tools according to deep-learning (DLg) based techniques. … CSI feedback in FDD MaMIMO systems is on feedback reduction. …
L Ge, Y Guo, Y Zhang, G Chen, J Wang… - IEEE Systems …, 2021 - ieeexplore.ieee.org
… , deepneuralnetwork is an efficient method for the imperfect channelestimation in massive MIMO-OFDM systems. … Jin, and GY Li, “Deeplearning-based CSI feedback approach for time-…