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

13 citations · 21 across the 20 of their papers we have counts for

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22 papers

eess.SP2026

Robust Decentralized Multi-Satellite Massive MIMO Transmission via Knowledge Distillation

Wenjing Cao, Zheng Lin, Yafei Wang +5

This paper investigates robust decentralized transmission for cooperative multi-satellite massive multiple-input multiple-output (MIMO) systems under imperfect statistical channel…

eess.SP2026

Toward Secure Communications for a UAV Swarm with Movable Antennas in SAGIN: CKM-Enabled Multi-Agent Reinforcement Learning Framework

Jiayang Wan, Yafei Wang, Jiawei Zhuang +2

Space-air-ground integrated networks (SAGINs) can provide ubiquitous and reliable connectivity for unmanned aerial vehicles (UAVs). However, air-to-ground links, which are typicall…

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…

eess.SP2026

Semantic Communication for Multi-Satellite Massive MIMO Transmission: A Mixture of Cooperative Modes Framework

Yafei Wang, Yuchen Zhang, Yiming Zhu +5

This paper investigates semantic communications (SemComs) for multi-satellite cooperative massive multiple-input multiple-output (MIMO) transmission, where multiple massive-MIMO sa…

eess.SP2026

Toward Multi-Satellite Cooperative Transmission: A Joint Framework for CSI Acquisition, Feedback, and Phase Synchronization

Yiming Zhu, Yafei Wang, Carla Amatetti +5

The stringent link budget, caused by long propagation distances and payload constraints, poses a fundamental bottleneck for single-satellite transmission. Although LEO mega-constel…

eess.SP2026

Deep Learning-Based Multi-Satellite Massive MIMO Transmission: Centralized or Decentralized?

Wenjing Cao, Yafei Wang, Jinshuo Zhang +4

This paper investigates new efficient transmission architectures for multi-satellite massive multiple-input multiple-output (MIMO). We study the weighted sum-rate maximization prob…

eess.SP2025

Multi-Satellite Multi-Stream Beamspace Massive MIMO Transmission

Yafei Wang, Yiming Zhu, Vu Nguyen Ha +4

This paper studies multi-satellite multi-stream (MSMS) beamspace transmission, where multiple satellites cooperate to form a distributed multiple-input multiple-output (MIMO) syste…

eess.SP2025

QoS-Aware Hierarchical Reinforcement Learning for Joint Link Selection and Trajectory Optimization in SAGIN-Supported UAV Mobility Management

Jiayang Wan, Ke He, Yafei Wang +3

Due to the significant variations in unmanned aerial vehicle (UAV) altitude and horizontal mobility, it becomes difficult for any single network to ensure continuous and reliable t…

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

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…

eess.SP2025

Interference in Spectrum-Sharing Integrated Terrestrial and Satellite Networks: Modeling, Approximation, and Robust Transmit Beamforming

Wenjing Cao, Yafei Wang, Tianxiang Ji +4

This paper investigates robust transmit (TX) beamforming from the satellite to user terminals (UTs), based on statistical channel state information (CSI). The proposed design speci…

eess.SY2025

Time-Continuous Frequency Allocation for Feeder Links of Mega Constellations with Multi-Antenna Gateway Stations

Zijun Liu, Yafei Wang, Tianhao Fang +2

With the recent rapid advancement of mega low earth orbit (LEO) satellite constellations, multi-antenna gateway station (MAGS) has emerged as a key enabler to support extremely hig…

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…

eess.SP2025★ 8 cited

Statistical CSI-Based Distributed Precoding Design for OFDM-Cooperative Multi-Satellite Systems

Yafei Wang, Vu Nguyen Ha, Konstantinos Ntontin +4

This paper investigates the design of distributed precoding for multi-satellite massive MIMO transmissions. We first conduct a detailed analysis of the transceiver model, in which…

eess.SP2024

CovNet: Covariance Information-Assisted CSI Feedback for FDD Massive MIMO Systems

Jialin Zhuang, Xuan He, Yafei Wang +2

In this paper, we propose a novel covariance information-assisted channel state information (CSI) feedback scheme for frequency-division duplex (FDD) massive multi-input multi-outp…

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…

eess.SP2024

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…

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

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…