AI enlightens wireless communication: A transformer backbone for CSI feedback

X Han, W Zhiqin, L Dexin, T Wenqiang… - China …, 2024 - ieeexplore.ieee.org
This paper is based on the background of the 2nd Wireless Communication Artificial
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …

Machine learning-based CSI feedback with variable length in FDD massive MIMO

M Nerini, V Rizzello, M Joham… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
To fully unlock the benefits of multiple-input multiple-output (MIMO) networks, downlink
channel state information (CSI) is required at the base station (BS). In frequency division …

Improving the performance of R17 Type-II codebook with deep learning

K Ma, Y Sang, Y Ming, J Lian, C Tian… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The Type-II codebook in Release 17 (R17) exploits the angular-delay-domain partial
reciprocity between uplink and downlink channels to select part of angular-delay-domain …

Outage probability analysis for uav-aided mobile edge computing networks

J Liu, Y Zhang, J Wang, T Cui, L Zhang, C Li, K Chen… - 2022 - repository.kaust.edu.sa
This paper studies one typical mobile edge computing (MEC) system, where a single user
has some intensively calculating tasks to be computed by M edge nodes (ENs) with much …

Lightweight LSTM-Based Adaptive CQI Feedback Scheme for IoT Devices

N Han, IM Kim, J So - Sensors, 2023 - mdpi.com
As the number of Internet of things (IoT) devices increases exponentially, scheduling and
managing the radio resources for IoT devices has become more important. To efficiently …

Better lightweight network for free: Codeword mimic learning for massive MIMO CSI feedback

Z Lu, X Zhang, R Zeng, J Wang - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
The channel state information (CSI) needs to be fed back from the user equipment (UE) to
the base station (BS) in frequency division duplexing (FDD) multiple-input multiple-output …

Knowledge-distillation-aided lightweight neural network for massive MIMO CSI feedback

H Tang, J Guo, M Matthaiou, CK Wen… - 2021 IEEE 94th …, 2021 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO) systems, channel state information (CSI) is
required by the base station (BS) to achieve high-performance gains. In frequency division …

Decentralized learning and model averaging based automatic modulation classification in drone communication systems

M Ma, Y Xu, Z Wang, X Fu, G Gui - Drones, 2023 - mdpi.com
Automatic modulation classification (AMC) is a promising technology to identify the
modulation mode of the received signal in drone communication systems. Recently …

Eliminating CSI feedback overhead via deep learning-based data hiding

J Guo, CK Wen, S Jin - IEEE Journal on Selected Areas in …, 2022 - ieeexplore.ieee.org
Channel state information (CSI) plays a crucial role in the capacity of multiple-input and
multiple-output systems, but CSI feedback occupies substantial precious transmission …

Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI Feedback

X Li, J Guo, CK Wen, S Jin - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Deep learning has brought about a revolution in the design of the channel state information
(CSI) feedback module in wireless communications. However, designing the optimal neural …