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20232026
most citedTowards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework

13 citations · 13 across the 13 of their papers we have counts for

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5 papers · 1 filter

eess.SP2025

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…

eess.SP2025

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…

eess.SP2025

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…

eess.SP2025

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…

eess.SP2025

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…