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20062026
most citedOptimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure

611 citations · 4.1k across the 145 of their papers we have counts for

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44 papers · 1 filter

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 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

Parametric Diffraction-Based Object Sensing: Modeling, Estimation, and Fundamental Limits

Jiaqi Xu, Bjorn Ottersten, A. Lee Swindlehurst

This paper proposes a rigorous framework for sensing of environmental objects using diffraction mechanisms prevalent at wireless communication frequencies. Specifically, we develop…

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

Digital-Twin-Aided Dynamic Spectrum Sharing and Resource Management in Integrated Satellite-Terrestrial Networks

Hung Nguyen-Kha, Vu Nguyen Ha, Ti Nguyen +4

The explosive growth in wireless service demand has prompted the evolution of integrated satellite-terrestrial networks (ISTNs) to overcome the limitations of traditional terrestri…

eess.SP2024★ 36 cited

Ubiquitous Integrated Sensing and Communications for Massive MIMO LEO Satellite Systems

Li You, Yongxiang Zhu, Xiaoyu Qiang +4

The next sixth generation (6G) networks are envisioned to integrate sensing and communications in a single system, thus greatly improving spectrum utilization and reducing hardware…