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) …

Channel state information (CSI) is a key aspect of massive multi-input multi-output (MIMO)
system. It depicts important properties of transmission channels such as scattering, fading …

Channel State Information (CSI) Feedback plays a crucial role in achieving higher gains
through beamforming. However, for a massive MIMO system, this feedback overhead is …

Multi-user massive multiple-input multiple-output (MIMO) communication systems consume
too much downlink bandwidth due to the huge channel state information (CSI) feedback …

With the increasing complexity of wireless environment, scene, frequency band, antenna
scale and other factors, it brings new challenges to wireless channel modeling. On the other …

In recent years, many deep learning-based methods have been utilized for the feedback of
Channel State Information (CSI) in massive MIMO systems. The Transformer-based …

In recent years, deep learning methods have been shown to have strong potential and
superiority in reducing channel state information (CSI) feedback overhead and further …

In massive MIMO systems, obtaining accurate channel state information (CSI) is crucial for
optimal channel coding and beamforming. However, traditional CSI feedback methods …

In massive multiple-input multiple-output (MIMO) systems, the user equipment (UE) needs to
feed the channel state information (CSI) back to the base station (BS) for the following …

Existing auto-encoder (AE)-based channel state information (CSI) frameworks have focused
on a specific configuration of user equipment (UE) and base station (BS), and thus the input …