13 citations · 13 across the 13 of their papers we have counts for
15 papers
Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach
Jiawei Zhuang, Hongwei Hou, Yafei Wang +4
Upper mid-band massive multiple-input multiple-output (MIMO) offers a favorable capacity-coverage trade-off for next-generation wireless systems, but its large antenna arrays, wide…
A Channel Knowledge Map-Driven Two-Stage Coordinated User Scheduling in Multi-Cell Massive MIMO Systems
Jiayang Wan, Hongwei Hou, Jiawei Zhuang +2
This paper investigates narrowband coordinated user scheduling in multi-cell massive multiple-input multiple-output (MIMO) systems. We formulate the problem under a spectral-effici…
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…
Polar-Coded Tensor-Based Unsourced Random Access with Soft Decoding
Jiaqi Fang, Yan Liang, Gangle Sun +4
The unsourced random access (URA) has emerged as a viable scheme for supporting the massive machine-type communications (mMTC) in the sixth generation (6G) wireless networks. Notab…
Joint Channel Estimation and Prediction for Massive MIMO with Frequency Hopping Sounding
Yiming Zhu, Jiawei Zhuang, Gangle Sun +3
In massive multiple-input multiple-output (MIMO) systems, the downlink transmission performance heavily relies on accurate channel state information (CSI). Constrained by the trans…
Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework
Yafei Wang, Hongwei Hou, Xinping Yi +2
In this paper, we propose a unified framework based on equivariance for the design of artificial intelligence (AI)-assisted technologies in multi-user multiple-input-multiple-outpu…
Robust Symbol-Level Precoding for Massive MIMO Communication Under Channel Aging
Yafei Wang, Xinping Yi, Hongwei Hou +2
This paper investigates the robust design of symbol-level precoding (SLP) for multiuser multiple-input multiple-output (MIMO) downlink transmission with imperfect channel state inf…
Beam-Delay Domain Channel Estimation for mmWave XL-MIMO Systems
Hongwei Hou, Xuan He, Tianhao Fang +3
This paper investigates the uplink channel estimation of the millimeter-wave (mmWave) extremely large-scale multiple-input-multiple-output (XL-MIMO) communication system in the bea…
Soft Demodulator for Symbol-Level Precoding in Coded Multiuser MISO Systems
Yafei Wang, Hongwei Hou, Wenjin Wang +2
In this paper, we consider symbol-level precoding (SLP) in channel-coded multiuser multi-input single-output (MISO) systems. It is observed that the received SLP signals do not alw…
Symbol-Level Precoding for Average SER Minimization in Multiuser MISO Systems
Yafei Wang, Hongwei Hou, Wenjin Wang +1
This paper investigates symbol-level precoding (SLP) for high-order quadrature amplitude modulation (QAM) aimed at minimizing the average symbol error rate (SER), leveraging both c…