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 …

Dictionary learning-based sparse channel representation and estimation for FDD massive MIMO systems

Y Ding, BD Rao - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
… Physical Channel Model We consider a single cell massive MIMO system operated in FDD
mode. The BS is equipped with N antennas and each UE has a single antenna. Assume a …

Energy-efficient optimization for downlink massive MIMO FDD systems with transmit-side channel correlation

Y Wang, C Li, Y Huang, D Wang… - … vehicular technology, 2015 - ieeexplore.ieee.org
… the training phase and data transmission phase simultaneously in FDD massive MIMO system
… In Section II, we introduce the massive MIMO FDD system in spatially correlated channel

Enabling FDD massive MIMO through deep learning-based channel prediction

M Arnold, S Dörner, S Cammerer, S Yan… - arXiv preprint arXiv …, 2019 - arxiv.org
… for the FDD Massive MIMO problem is known. A classical estimation using the channel
Although machine learning and, in particular, deep learning has attracted a lot of attention …

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

Improved downlink rates for FDD massive MIMO systems through Bayesian neural networks-based channel prediction

Z Tao, S Wang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
… Therefore, it is more reasonable to adopt the SISO processing when considering the training
time and the model aging in massive MIMO systems, and it is also fair for comparison that …

Angle domain signal processing-aided channel estimation for indoor 60-GHz TDD/FDD massive MIMO systems

D Fan, F Gao, G Wang, Z Zhong… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
… orthogonal training (OT) framework [12] requires the number of the training streams to be …
Hence, downlink training in massive MIMO systems needs extremely large number of OT …

An approach to reduce the overhead of training sequences in FDD massive MIMO downlink systems

H Wang, G Li, S Zheng, S Yang… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
… the assumption that the accurate channel state information (CSI) … (FDD) massive MIMO
system, in order to obtain the downlink CSI at the base station (BS), the BS needs to send training

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

Massive MIMO performance—TDD versus FDD: What do measurements say?

J Flordelis, F Rusek, F Tufvesson… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
… dramatically in Massive MIMO systems, DL training in FDD operation with … training methods
is, however, beyond the scope of this paper. In order to be as generous as possible with FDD