Deep learning-based downlink channel prediction for FDD massive MIMO system

Y Yang, F Gao, GY Li, M Jian - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
… 2) We propose a SCNet for downlink CSI prediction in FDD massive MIMO systems, which
is applicable to complex-valued function approximation with complexvalued representations. …

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 …

Deep learning for TDD and FDD massive MIMO: Mapping channels in space and frequency

M Alrabeiah, A Alkhateeb - … conference on signals, systems …, 2019 - ieeexplore.ieee.org
… (cell-free) massive MIMO systems and for both TDD and FDD system operation modes, as
we will discuss in Section IV. Channel Model: Let hu,m(f1) denote the channel from user u to …

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…

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

Information-theoretic pilot design for downlink channel estimation in FDD massive MIMO systems

Y Gu, YD Zhang - IEEE Transactions on Signal Processing, 2019 - ieeexplore.ieee.org
… estimation for all users is performed at the base station based on the matrix completion [25],
based on which the overhead of downlink channel training as well as uplink channel

Algebraic channel estimation algorithms for FDD massive MIMO systems

C Qian, X Fu, ND Sidiropoulos - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
… We show that with such a training sequence, the parameters of DL MIMO channels can be
provably identified even when the number of paths largely exceeds the number of received …

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 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 …

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. …