PolarDenseNet: A deep learning model for CSI feedback in MIMO systems
In multiple-input multiple-output (MIMO) systems, the high-resolution channel information
(CSI) is required at the base station (BS) to ensure optimal performance, especially in the …
(CSI) is required at the base station (BS) to ensure optimal performance, especially in the …
CVLNet: A complex-valued lightweight network for CSI feedback
The deep learning-based (DL-based) channel state information (CSI) feedback in the
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system …
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system …
Deep Decoder CsiNet for FDD Massive MIMO System
In order to achieve a higher gain in frequency division duplex (FDD) massive multiple-input
multiple-output (MIMO) system, it is imperative to feedback downlink channel state …
multiple-output (MIMO) system, it is imperative to feedback downlink channel state …
Changeable rate and novel quantization for CSI feedback based on deep learning
Deep learning (DL)-based channel state information (CSI) feedback improves the capacity
and energy efficiency of massive multiple-input multiple-output (MIMO) systems in frequency …
and energy efficiency of massive multiple-input multiple-output (MIMO) systems in frequency …
Downlink channel state information limited feedback using fully convolutional network
In massive multiple input multiple output (MIMO) systems, the base station (BS) requires
channel state information (CSI) to better utilize the available spatial diversity and …
channel state information (CSI) to better utilize the available spatial diversity and …
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 …
Deep learning for CSI feedback based on superimposed coding
Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is
a promising approach to increasing system capacity and link robustness for the fifth …
a promising approach to increasing system capacity and link robustness for the fifth …
Viewing the MIMO channel as sequence rather than image: A Seq2Seq approach for efficient CSI feedback
In a massive multiple-input multiple-output (MIMO) system, channel state information (CSI) is
essential for the base station (BS) to achieve high performance gain. The user equipment …
essential for the base station (BS) to achieve high performance gain. The user equipment …
Training enhancement of deep learning models for massive MIMO CSI feedback with small datasets
Z Liu, Z Ding - arXiv preprint arXiv:2205.03533, 2022 - arxiv.org
Accurate downlink channel state information (CSI) is vital to achieving high spectrum
efficiency in massive MIMO systems. Existing works on the deep learning (DL) model for CSI …
efficiency in massive MIMO systems. Existing works on the deep learning (DL) model for CSI …
DFECsiNet: Exploiting diverse channel features for massive MIMO CSI feedback
Y Xu, M Zhao, S Zhang, H Jin - 2021 13th International …, 2021 - ieeexplore.ieee.org
To enhance the performance of a massive multiple-input multiple-output (MIMO) system,
downlink channel state information (CSI) should be fed back to the base station (BS) in …
downlink channel state information (CSI) should be fed back to the base station (BS) in …