6 papers
Deep Learning-Based Joint Uplink-Downlink CSI Acquisition for Next-Generation Upper Mid-Band Systems
Xuan He, Hongwei Hou, Yafei Wang +4
In next-generation wireless communication systems, the newly designated upper mid-band has attracted considerable attention, also called frequency range 3 (FR3), highlighting the n…
Achieving Constant-Envelope Waveform in CP-OFDMA Framework
Yiming Zhu, Zhuhong Zhu, Xiaodong Xu +3
OFDM is widely adopted in modern wireless communication systems, but its power efficiency is limited by high envelope fluctuations. Although various high power-efficiency waveforms…
Tensor-Structured Bayesian Channel Prediction for Upper Mid-Band XL-MIMO Systems
Hongwei Hou, Yafei Wang, Xinping Yi +3
The upper mid-band balances coverage and capacity for the future cellular systems and also embraces XL-MIMO systems, offering enhanced spectral and energy efficiency. However, thes…
DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition
Jiawei Zhuang, Hongwei Hou, Minjie Tang +3
With the growing number of users in multi-user multiple-input multiple-output (MU-MIMO) systems, demodulation reference signals (DMRSs) are efficiently multiplexed in the code doma…
Extract the Best, Discard the Rest: CSI Feedback with Offline Large AI Models
Jialin Zhuang, Yafei Wang, Hongwei Hou +4
Large AI models (LAMs) have shown strong potential in wireless communication tasks, but their practical deployment remains hindered by latency and computational constraints. In thi…
A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity
Hongwei Hou, Yafei Wang, Yiming Zhu +4
In moderate- to high-mobility scenarios, CSI varies rapidly and becomes temporally non-stationary, leading to severe performance degradation in the massive MIMO transmissions. To a…