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…
Extended-Target Classification and Localization for Near-Field ISAC
Zongyao Zhao, Zhaolin Wang, Lincong Han +3
Near-field integrated sensing and communication (ISAC) enables object-level sensing from distance-dependent array responses, yet most existing near-field methods still rely on poin…
A Spatio-Temporal-Frequency Transformer Framework for Near-Field Target Recognition
Zongyao Zhao, Zhaolin Wang, Lincong Han +2
A target recognition framework relying on near-field integrated sensing and communication (ISAC) systems is proposed. By exploiting the distance-dependent spatial signatures provid…
Bayesian Beamforming for Integrated Sensing and Communication Systems
Zongyao Zhao, Zhenyu Liu, Wei Dai +3
The uncertainty of the sensing target brings great challenge to the beamforming design of the integrated sensing and communication (ISAC) system. To address this issue, we model th…
Joint Beamforming for Multi-target Detection and Multi-user Communication in ISAC Systems
Zongyao Zhao, Zhenyu Liu, Rui Jiang +4
Detecting weak targets is one of the main challenges for integrated sensing and communication (ISAC) systems. Sensing and communication suffer from a performance trade-off in ISAC…
Joint Beamforming for Backscatter Integrated Sensing and Communication
Zongyao Zhao, Tiankuo Wei, Zhenyu Liu +3
Integrated sensing and communication (ISAC) is a key technology of next generation wireless communication. Backscatter communication (BackCom) plays an important role for internet…
B-ISAC: Backscatter Integrated Sensing and Communication for IoE Applications
Zongyao Zhao, Yuhan Dong, Tiankuo Wei +3
The integration of backscatter communication (BackCom) technology with integrated sensing and communication (ISAC) technology not only enhances the system sensing performance, but…