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

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

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22 papers

eess.SP2026

Joint Channel Estimation and Data Detection for Multi-LEO-Satellite Cell-Free OTFS Uplinks

Gangle Sun, Tianhao Liu, Jun Tian +6

Cell-free networks formed by multiple low Earth orbit (LEO) satellites offer a promising architecture for ubiquitous connectivity, but their cooperative reception is challenged by…

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

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…

eess.IV2026

Semantic Satellite Communications for Synchronized Audiovisual Reconstruction

Fangyu Liu, Peiwen Jiang, Wenjin Wang +2

Satellite communications face severe bottlenecks in supporting high-fidelity synchronized audiovisual services, as conventional schemes struggle with cross-modal coherence under fl…

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

Pioneering Scalable Prototyping for Mid-Band XL-MIMO Systems: Design and Implementation

Jiachen Tian, Yu Han, Zhengtao Jin +6

The mid-band frequency range, combined with extra large-scale multiple-input multiple-output (XL-MIMO), is emerging as a key enabler for future communication systems. Thanks to the…

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.IV2025

Foundation Model-Based Adaptive Semantic Image Transmission for Dynamic Wireless Environments

Fangyu Liu, Peiwen Jiang, Wenjin Wang +3

Foundation model-based semantic transmission has recently shown great potential in wireless image communication. However, existing methods exhibit two major limitations: (i) they o…

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

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…

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.SP2025

Distributed U6G ELAA Communication Systems: Channel Measurement and Small-Scale Fading Characterization

Jiachen Tian, Zhengtao Jin, Xiayang Chen +4

The distributed upper 6 GHz (U6G) extra-large scale antenna array (ELAA) is a key enabler for future wireless communication systems, offering higher throughput and wider coverage,…

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

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…

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…