16 citations · 16 across the 7 of their papers we have counts for
7 papers
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…
UW-OCDM for Low-Altitude UAV Communication and Cooperative Sensing
Yi Tao, Zhen Gao, Ziwei Wan +4
Integrated sensing and communications (ISAC) is a key enabler for uncrewed aerial vehicles (UAVs) in the low-altitude economy. This paper proposes an ISAC waveform that embeds a un…
Chirp Delay-Doppler Domain Modulation Based Joint Communication and Radar for Autonomous Vehicles
Zhuoran Li, Zhen Gao, Sheng Chen +3
This paper introduces a sensing-centric joint communication and millimeter-wave radar paradigm to facilitate collaboration among intelligent vehicles. We first propose a chirp wave…
Generative Diffusion Model Driven Massive Random Access in Massive MIMO Systems
Keke Ying, Zhen Gao, Sheng Chen +2
Massive random access is an important technology for achieving ultra-massive connectivity in next-generation wireless communication systems. It aims to address key challenges durin…
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…
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…
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…