13 citations · 13 across the 15 of their papers we have counts for
16 papers
Surrogate-Enhanced Fractional Programming for MIMO Device-to-Device Interference Networks
Zihan Jiao, Xinping Yi, Shi Jin +1
Interference management in multi-stream multi-input multi-output (MIMO) device-to-device (D2D) networks often leads to weighted sum-rate maximization with sum-log-determinant invol…
Rethinking Fractional Programming for Joint Uplink Scheduling and Power Control in Multicell Wireless Networks
Zihan Jiao, Xinping Yi, Shi Jin +1
This paper investigates the joint uplink scheduling and power control problem in a coordinated multicell wireless network, where at most one single-antenna user is allowed to acces…
PAC-Bayesian Adversarially Robust Generalization for Message Passing Graph Neural Networks: A Sensitivity Analysis
Ziling Liang, Xinping Yi, Qingsong Wen +1
Whilst the vulnerability of graph neural networks (GNNs) to adversarial attacks poses a critical threat to graph representation learning, the understanding of the robust generaliza…
Foundation Models for Wireless Communications: From PHY Intelligence to Network Autonomy
Le Liang, Jiajia Guo, Jun Zhang +6
6G networks will introduce unprecedented complexity, which calls for a paradigm shift in network optimization and management. Artificial intelligence (AI)-based solutions, especial…
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…
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…
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…
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…
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…
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…
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…
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
Jiaxu Liu, Xinping Yi, Sihao Wu +4
While Hyperbolic Graph Neural Network (HGNN) has recently emerged as a powerful tool dealing with hierarchical graph data, the limitations of scalability and efficiency hinder itse…
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…