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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

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Showing 2024Show all

7 papers · 1 filter

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…