Deep transfer learning-based downlink channel prediction for FDD massive MIMO systems

Y Yang, F Gao, Z Zhong, B Ai… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… In this article, we formulate the downlink channel prediction for FDD massive MIMO systems
as a DTL problem, where each learning task aims to predict the downlink CSI from the …

Downlink CSI feedback algorithm with deep transfer learning for FDD massive MIMO systems

J Zeng, J Sun, G Gui, B Adebisi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
… We consider adopting an OFDM model in FDD massive MIMO systems. The BS is equipped
with Nb antennas, the UE is equipped with Nu antennas, and the number of subcarriers is Ns…

Deep learning and compressive sensing-based CSI feedback in FDD massive MIMO systems

P Liang, J Fan, W Shen, Z Qin… - … on Vehicular Technology, 2020 - ieeexplore.ieee.org
… Mohamed-Pour, “Compressed channel estimation for FDD massive MIMO systems
without prior knowledge of sparse channel model,” IET Commun., vol. 13, no. 6, pp. …

Downlink training design for FDD massive MIMO systems in the presence of colored noise

MA Naser, M Alsabah, BM Mahmmod, NK Noordin… - Electronics, 2020 - mdpi.com
… the DL channel estimation process using DTS in an FDD MaMi system with a colored noise
environment. In particular, the CSI estimation process is conditioned on the received training

Deep learning for distributed channel feedback and multiuser precoding in FDD massive MIMO

F Sohrabi, KM Attiah, W Yu - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Channel Model and Conventional Approaches This paper considers an FDD massive
MIMO system operating in mmWave propagation environment [9] in which the number of …

Compressive sampled CSI feedback method based on deep learning for FDD massive MIMO systems

J Wang, G Gui, T Ohtsuki, B Adebisi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
… This paper proposed a SampleDL method for downlink CSI feedback in FDD massive MIMO
systems. By combing compressive sampling with NNs, the proposed method outperforms …

Performance analysis of channel extrapolation in FDD massive MIMO systems

F Rottenberg, T Choi, P Luo, CJ Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
CHANNEL MODEL We consider a FDD massive MIMO scenario where each user has a
single-antenna and transmits an UL training sequence that is orthogonal to those of the other …

Deep learning-based FDD non-stationary massive MIMO downlink channel reconstruction

Y Han, M Li, S Jin, CK Wen, X Ma - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
… on the downlink channel reconstruction of FDD non-stationary massive MIMO systems. In …
This study considered the FDD non-stationary massive MIMO system and proposed a deep …

CAnet: Uplink-aided downlink channel acquisition in FDD massive MIMO using deep learning

J Guo, CK Wen, S Jin - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
… framework for FDD massive MIMO systems should be … channel model adopted in this
study, we will describe the downlink CSI acquisition process in FDD massive MIMO systems

Non-iterative downlink training sequence design based on sum rate maximization in FDD massive MIMO systems

M Alsabah, M Vehkapera, T O'Farrell - IEEE Access, 2020 - ieeexplore.ieee.org
… of DL channel estimation in an FDD massive MIMO communication system with single-stage
precoding and limited coherence time using a non-iterative approach for the DL training