12 papers
Site-Specific Learning for Low-Overhead Multi-User MIMO Beamforming
Cheng-Jie Zhao, Zhaolin Wang, Zongyao Zhao +1
A low-overhead site-specific multi-user multiple-input multiple-output (MU-MIMO) beamforming framework is proposed. Conventional limited-feedback MU-MIMO relies on channel state in…
B2X Networks: Joint Design of Communication and Control for Embodied Intelligence
Yuanwei Liu, Xu Gan, Zhaolin Wang +5
This article proposes the concept of \emph{brain-body-to-everything (B2X)} networks to facilitate the integration of wireless networks and embodied intelligence. In this framework,…
SiFo: Wireless Foundation Model for Low-Overhead Site-Specific CSI Feedback
Cheng-Jie Zhao, Zhaolin Wang, Zongyao Zhao +1
SiFo, a wireless foundation model-based framework, is proposed for low-overhead site-specific channel state information (CSI) feedback. In 3GPP NR, Type-II feedback provides an exp…
Agent-Native Wireless Communications: Architecture, Opportunities, and the Road Ahead
Yuanwei Liu, Xu Gan, Zhaolin Wang +3
Future wireless networks are moving toward autonomous service operation, where network control and resource management need to respond to time-varying radio conditions and evolving…
Bridging Standardized Codebook and Site-Specific Beamforming: A Unified Limited-Feedback Framework
Cheng-Jie Zhao, Zhaolin Wang, Zongyao Zhao +1
A site-specific Type-II codebook design is proposed for downlink massive multiple-input multiple-output (MIMO) limited-feedback beamforming. The key idea is to embed a learned site…
Cramér-Rao Bound Optimization for Near-Field ISAC with Extended Targets
Zongyao Zhao, Zhaolin Wang, Lincong Han +4
Near-field integrated sensing and communication (ISAC) requires target models beyond the point-target abstraction when the target has a non-negligible spatial extent. In this lette…