activity
20242026
most citedTerahertz Integrated Sensing and Communication-Empowered UAVs in 6G: A Transceiver Design Perspective

63 citations · 97 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SP2026

LUNA: Luneburg-Lens-Aided Reconfigurable Array for 6G-and-Advanced Wireless Networks

Ziwei Wan, Zhen Gao, Shuping Dang +3

This article introduces the LUneburg-lens-aided recoNfigurable Array (LUNA), an antenna architecture that unifies multiple-input multiple-output (MIMO) and network-controlled repea…

eess.SP2026

Multi-Domain Iterative Detection for Massive Connectivity in LEO Satellite Networks

Xinhua Liu, Yueqing Wang, Keke Ying +7

Grant-Free (GF) random access is promising for low Earth orbit satellite Internet due to its reduced access latency. However, existing schemes suffer from poor performance in massi…

eess.SP2026

DJSCC-Enabled Multi-User Semantic CSI Feedback for Hybrid Beamforming in Dual-Polarized cmWave Massive MIMO

Ziqi Han, Ziwei Wan, Hengwei Zhang +5

Driven by the ultra-high throughput requirements of 6G, wireless communications are migrating to centimeter wave (cmWave) bands to overcome the limitations of current spectral reso…

eess.SP2026★ 11 cited

A Survey on Reconfigurable and Movable Antennas for Wireless Communications and Sensing

Wenyan Ma, Lipeng Zhu, Yanhua Tan +10

Reconfigurable antennas (RAs) and movable antennas (MAs) have been recognized as promising technologies to enhance the performance of wireless communication and sensing systems by…

eess.SP2025

Radiation Pattern Reconfigurable FAS-Empowered Interference-Resilient UAV Communication

Zhuoran Li, Zhen Gao, Boyu Ning +1

The widespread use of uncrewed aerial vehicles (UAVs) has propelled the development of advanced techniques on countering unauthorized UAV flights. However, the resistance of legal…

eess.SP2025★ 7 cited

Intelligent Metasurface-Enabled Integrated Sensing and Communication: Unified Framework and Key Technologies

Shunyu Li, Tianqi Mao, Guangyao Liu +6

As the demand for ubiquitous connectivity and high-precision environmental awareness grows, integrated sensing and communication (ISAC) has emerged as a key technology for sixth-ge…

cs.LG2025

Residual Cross-Attention Transformer-Based Multi-User CSI Feedback with Deep Joint Source-Channel Coding

Hengwei Zhang, Minghui Wu, Li Qiao +3

This letter proposes a deep-learning (DL)-based multi-user channel state information (CSI) feedback framework for massive multiple-input multiple-output systems, where the deep joi…

eess.SP2025★ 63 cited

Terahertz Integrated Sensing and Communication-Empowered UAVs in 6G: A Transceiver Design Perspective

Ruoyu Zhang, Wen Wu, Xiaoming Chen +2

Due to their high maneuverability, flexible deployment, and low cost, unmanned aerial vehicles (UAVs) are expected to play a pivotal role in not only communication, but also sensin…

eess.SP2024

Integrated Location Sensing and Communication for Ultra-Massive MIMO With Hybrid-Field Beam-Squint Effect

Zhen Gao, Xingyu Zhou, Boyu Ning +3

The advent of ultra-massive multiple-input-multiple output systems holds great promise for next-generation communications, yet their channels exhibit hybrid far- and near- field be…

eess.SP2024

Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network

Minghui Wu, Zhen Gao, Zhaocheng Wang +3

Near-space airship-borne communication network is recognized to be an indispensable component of the future integrated ground-air-space network thanks to airships' advantage of lon…

cs.IT2024

Knowledge and Data Dual-Driven Channel Estimation and Feedback for Ultra-Massive MIMO Systems under Hybrid Field Beam Squint Effect

Kuiyu Wang, Zhen Gao, Sheng Chen +5

Acquiring accurate channel state information (CSI) at an access point (AP) is challenging for wideband millimeter wave (mmWave) ultra-massive multiple-input and multiple-output (UM…

eess.SP2024★ 16 cited

Block-Sparse Tensor Recovery

Liyang Lu, Zhaocheng Wang, Zhen Gao +2

This work explores the fundamental problem of the recoverability of a sparse tensor being reconstructed from its compressed embodiment. We present a generalized model of block-spar…