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

13 citations · 13 across the 16 of their papers we have counts for

collaborators

16 papers

eess.SP2026

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…

stat.ML2026

Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds

Xinping Yi, Gaojie Jin, Xiaowei Huang +1

Understanding the generalization behavior of deep neural networks remains a fundamental challenge in modern statistical learning theory. Among existing approaches, PAC-Bayesian nor…

eess.SP2026

Learning to Unfold Fractional Programming for Multi-Cell MU-MIMO Beamforming with Graph Neural Networks

Zihan Jiao, Xinping Yi, Shi Jin

In the multi-cell multiuser multi-input multi-output (MU-MIMO) systems, fractional programming (FP) has demonstrated considerable effectiveness in optimizing beamforming vectors, y…

eess.SP2025

Unlocking Symbol-Level Precoding Efficiency Through Tensor Equivariant Neural Network

Jinshuo Zhang, Yafei Wang, Xinping Yi +4

Although symbol-level precoding (SLP) based on constructive interference (CI) exploitation offers performance gains, its high complexity remains a bottleneck. This paper addresses…

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…

cs.IT2025

Revisiting Topological Interference Management: A Learning-to-Code on Graphs Perspective

Zhiwei Shan, Xinping Yi, Han Yu +2

The advance of topological interference management (TIM) has been one of the driving forces of recent developments in network information theory. However, state-of-the-art coding s…

eess.SP2024

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…

cs.IT2024

Blind and Topological Interference Managements for Bistatic Integrated Sensing and Communication

Jiayu Liu, Kai Wan, Xinping Yi +2

Integrated sensing and communication (ISAC) systems provide significant enhancements in performance and resource efficiency compared to individual sensing and communication systems…

cs.IT2024

Joint User Scheduling and Precoding for RIS-Aided MU-MISO Systems: A MADRL Approach

Yangjing Wang, Xiao Li, Xinping Yi +1

With the increasing demand for spectrum efficiency and energy efficiency, reconfigurable intelligent surfaces (RISs) have attracted massive attention due to its low-cost and capabi…

eess.SP2024

Meta-Learning Empowered Graph Neural Networks for Radio Resource Management

Kai Huang, Le Liang, Xinping Yi +3

In this paper, we consider a radio resource management (RRM) problem in the dynamic wireless networks, comprising multiple communication links that share the same spectrum resource…

cs.NI2024

GRLinQ: An Intelligent Spectrum Sharing Mechanism for Device-to-Device Communications with Graph Reinforcement Learning

Zhiwei Shan, Xinping Yi, Le Liang +2

Device-to-device (D2D) spectrum sharing in wireless communications is a challenging non-convex combinatorial optimization problem, involving entangled link scheduling and power con…

eess.SP2024★ 13 cited

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…

eess.SP2024

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…

eess.SP2023

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…

eess.SP2023

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…

eess.SP2023

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…