Pruning the pilots: Deep learning-based pilot design and channel estimation for MIMO-OFDM systems
MB Mashhadi, D Gündüz - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
With the large number of antennas and subcarriers the overhead due to pilot transmission
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
Deep learning-based CSI feedback for beamforming in single-and multi-cell massive MIMO systems
The potentials of massive multiple-input multiple-output (MIMO) are all based on the
available instantaneous channel state information (CSI) at the base station (BS). Therefore …
available instantaneous channel state information (CSI) at the base station (BS). Therefore …
An overview of enhanced massive MIMO with array signal processing techniques
In the past ten years, there have been tremendous research progresses on massive MIMO
systems, most of which stand from the communications viewpoint. A new trend to investigate …
systems, most of which stand from the communications viewpoint. A new trend to investigate …
Achievable rates of FDD massive MIMO systems with spatial channel correlation
It is well known that the performance of frequency-division-duplex (FDD) massive MIMO
systems with iid channels is disappointing compared with that of time-division-duplex (TDD) …
systems with iid channels is disappointing compared with that of time-division-duplex (TDD) …
Channel estimation for TDD/FDD massive MIMO systems with channel covariance computing
In this paper, we propose a new channel estimation scheme for TDD/FDD massive MIMO
systems by reconstructing (sometimes also referred to as covariance computing or …
systems by reconstructing (sometimes also referred to as covariance computing or …
Exploiting bi-directional channel reciprocity in deep learning for low rate massive MIMO CSI feedback
Z Liu, L Zhang, Z Ding - IEEE Wireless Communications Letters, 2019 - ieeexplore.ieee.org
Channel state information (CSI) feedback is important for multiple-input multiple-output
(MIMO) wireless systems to achieve their capacity gain in frequency division duplex mode …
(MIMO) wireless systems to achieve their capacity gain in frequency division duplex mode …
Millimeter-wave channel estimation based on 2-D beamspace MUSIC method
Z Guo, X Wang, W Heng - IEEE transactions on wireless …, 2017 - ieeexplore.ieee.org
Due to the spatial sparsity caused by severe propagation loss, mm-wave channel estimation
can be performed by estimating the directions and gains of the paths that have significant …
can be performed by estimating the directions and gains of the paths that have significant …
Compressive sampled CSI feedback method based on deep learning for FDD massive MIMO systems
Accurate downlink channel state information (CSI) is required to be fed back to the base
station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output …
station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output …
Angle domain channel estimation in hybrid millimeter wave massive MIMO systems
This paper proposes a novel direction-of-arrival (DOA)-aided channel estimation for a hybrid
millimeter-wave (mm-wave) massive multiple-input multiple-output system with a uniform …
millimeter-wave (mm-wave) massive multiple-input multiple-output system with a uniform …
A full-space spectrum-sharing strategy for massive MIMO cognitive radio systems
In this paper, we introduce a new spatial spectrum-sharing strategy for massive multiple-
input multiple-output (MIMO) cognitive radio (CR) systems. Different from the conventional …
input multiple-output (MIMO) cognitive radio (CR) systems. Different from the conventional …