For multiple-input multiple-output systems, channel prediction is crucial for mitigating
channel aging in mobile scenarios. The existing channel prediction schemes typically …

In the literature, machine learning (ML) has been implemented at the base station (BS) and
user equipment (UE) to improve the precision of downlink channel state information (CSI) …

The downlink channel reconstruction at the base station holds paramount significance
across a multitude of applications in FDD massive MIMO systems. Conventional approaches …

Accurate channel state information (CSI) is crucial for optimizing system performance in
wireless communications. One of the current research directions is to extract the CSI from …

Gaining accurate channel state information (CSI) through a low-cost scheme has always
been difficult in wireless communication systems. One of the current research directions is to …

In moderate-to high-mobility scenarios, channel state information (CSI) varies rapidly and
becomes temporally non-stationary, leading to significant performance degradation in …

Due to the advantages of beamforming technology in multi-antenna wireless communication
systems, it has been widely studied and applied. However, its effectiveness in high-mobility …

Reconfigurable intelligent surfaces (RIS) has emerged as a promising approach for
efficiently enhancing communication performance via passive signal reflection. However, in …

Orthogonal Time Frequency Space (OTFS) modulation has been verified in high-mobility
scenarios as an effective solution to address the Doppler shift effect. To further improve the …

In recent years, there has been a marked acceleration in studies focusing on digitalization in
healthcare. These studies are increasingly recognized for their strong associations with key …