… The main contributions of this paper include: • The low-rank covariance matrices of the channels are exploited to design efficient channeltraining and feedback schemes, which enable …
Y Han, J Lee, DJ Love - IEEE Transactions on Communications, 2017 - ieeexplore.ieee.org
… novel channel estimation scheme for FDDmassiveMIMOsystems, which combines LS and CS techniques. A key observation for the proposed scheme is that even though the channel …
… , FDD dominates current wireless cellular systems. Thus, we focus on a downlink training framework for FDDmassiveMIMOsystems in … training signals for open-loop/single-shot training …
… 2) We propose a SCNet for downlink CSI prediction in FDDmassiveMIMOsystems, which is applicable to complex-valued function approximation with complexvalued representations. …
… In this article, we formulate the downlink channel prediction for FDDmassiveMIMOsystems as a DTL problem, where each learning task aims to predict the downlink CSI from the …
M Alrabeiah, A Alkhateeb - … conference on signals, systems …, 2019 - ieeexplore.ieee.org
… (cell-free) massiveMIMOsystems and for both TDD and FDDsystem operation modes, as we will discuss in Section IV. Channel Model: Let hu,m(f1) denote the channel from user u to …
J Fang, X Li, H Li, F Gao - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
… We consider the problem of downlink training and channel estimation in a FDDmassive MIMOsystem, where the BS equipped with a large number of antennas serves a number of …
J Zeng, J Sun, G Gui, B Adebisi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
… We consider adopting an OFDM model in FDDmassiveMIMOsystems. The BS is equipped with Nb antennas, the UE is equipped with Nu antennas, and the number of subcarriers is Ns…
… MIMOsystems in different types of propagation environment. … CONCLUSION In this paper, we developed directional training scheme for FDDmassiveMIMOsystems to reduce the large …