Overview of deep learning-based CSI feedback in massive MIMO systems
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
Deep joint source-channel coding for CSI feedback: An end-to-end approach
The increased throughput brought by MIMO technology relies on the knowledge of channel
state information (CSI) acquired in the base station (BS). To make the CSI feedback …
state information (CSI) acquired in the base station (BS). To make the CSI feedback …
Binarized aggregated network with quantization: Flexible deep learning deployment for CSI feedback in massive MIMO systems
Massive multiple-input multiple-output (MIMO) is one of the key techniques to achieve better
spectrum and energy efficiency in 5G system. The channel state information (CSI) needs to …
spectrum and energy efficiency in 5G system. The channel state information (CSI) needs to …
Federated edge learning for the wireless physical layer: Opportunities and challenges
Deep learning (DL) has been applied to the physical layer of wireless communication
systems, which directly extracts environment knowledge from data and outperforms …
systems, which directly extracts environment knowledge from data and outperforms …
Eliminating CSI feedback overhead via deep learning-based data hiding
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 …
multiple-output systems, but CSI feedback occupies substantial precious transmission …
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 …
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 …
channel state information (CSI) is required at the base station (BS). In frequency division …
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 …
has some intensively calculating tasks to be computed by M edge nodes (ENs) with much …
基于人工智能的大规模天线信道状态信息反馈研究
黄秋萍， 刘晓峰， 高秋彬， 刘正宣， 金立强… - 电信科学, 2022 - infocomm-journal.com
信道状态信息(channel state information, CSI) 的精确获取是大规模天线发挥效能的关键.
在现有的通信系统中, 上下行链路互易性不理想时, 基于码本进行下行链路的CSI 反馈 …
在现有的通信系统中, 上下行链路互易性不理想时, 基于码本进行下行链路的CSI 反馈 …
Manifold learning-based csi feedback in massive mimo systems
Massive multi-input multi-output (MIMO) in Frequency Division Duplex (FDD) mode suffers
from heavy feedback overhead for Channel State Information (CSI). In this paper, a novel …
from heavy feedback overhead for Channel State Information (CSI). In this paper, a novel …