Deep learning based CSI compression and quantization with high compression ratios in FDD massive MIMO systems

Y Zhang, X Zhang, Y Liu - IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
System Model An FDD massive MIMO system where BS has Nt antennas and UE has a
single antenna is considered in this paper. OFDM with Nc subcarriers is adopted in the system. …

Learning how to transfer from uplink to downlink via hyper-recurrent neural network for FDD massive MIMO

Y Liu, O Simeone - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
SYSTEM MODEL FOR FLAT-FADING CHANNELS … In this section, we describe the system
model of an FDD 254 MIMO system … 3, since the system uses FDD, uplink and downlink 257 …

Distributed compressed sensing aided sparse channel estimation in FDD massive MIMO system

R Zhang, H Zhao, J Zhang - IEEE Access, 2018 - ieeexplore.ieee.org
… , since the high dimensional channel matrix incurs large amount … massive MIMO system,
since the downlink CSI can be obtained via the uplink channel training by exploiting the channel

Deep learning-based denoise network for CSI feedback in FDD massive MIMO systems

H Ye, F Gao, J Qian, H Wang… - IEEE Communications …, 2020 - ieeexplore.ieee.org
System Model Consider an FDD massive MIMO system, where the BS has Nt antennas and
… feedback delay in FDD massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 8, no. …

Deep learning-based downlink channel estimation for FDD massive MIMO systems

B Xiang, D Hu, J Wu - IEEE Wireless Communications Letters, 2023 - ieeexplore.ieee.org
… Then the trained networks are tested with channelschannel estimating method for FDD
massive MIMO systems to … clusters from the received uplink channel and then mapping the …

FDD-based cell-free massive MIMO systems

S Kim, B Shim - 2018 IEEE 19th International Workshop on …, 2018 - ieeexplore.ieee.org
… In order to distinguish the propagation paths of distinct users, we design the uplink training
time of users in an non-overlapping fashion. In this setting, the received signal Ymk ∈ CN×τ …

Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO

Z Gao, L Dai, Z Wang, S Chen - IEEE transactions on signal …, 2015 - ieeexplore.ieee.org
… focus on the reliable and efficient channel estimation and feedback for FDD massive MIMO.
training techniques for FDD massive MIMO systems: Open-loop and closed-loop training

Compressed channel estimation for FDD massive MIMO systems without prior knowledge of sparse channel model

MJ Azizipour, K Mohamed‐Pour - IET Communications, 2019 - Wiley Online Library
… However, this training scheme will require the channel statistics, which the BS … the system
model including the sparse channel model and the problem formulation of FDD massive MIMO

FDD massive MIMO channel spatial covariance conversion using projection methods

L Miretti, RLG Cavalcante… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
… because of the unacceptably high training overhead. This paper … ) spatial channel covariance
matrix Rd in massive MIMO systems that operate in the frequency division duplexing (FDD) …

CV-3DCNN: Complex-valued deep learning for CSI prediction in FDD massive MIMO systems

Y Zhang, J Wang, J Sun, B Adebisi… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
… association between the uplink channel and downlink channel in FDD systems, which can
… partial channel reciprocity in FDD M-MIMO systems. From [21]–[23], MIMO channel models …