activity
20242026
most citedModel-Driven Deep Learning for Distributed Detection with Binary Quantization

1 citations · 1 across the 10 of their papers we have counts for

collaborators

11 papers

cs.AI2026

AIMS: An Agentic AI Framework for Sim-to-Real Multi-Modal ISAC

Yijie Bian, Kai Zhang, Wei Guo +4

Multi-modal integrated sensing and communication (ISAC) enables environmental perception and reliable connectivity for intelligent wireless networks. Data-driven multi-modal ISAC m…

cs.AI2026

GSBF: Gaussian Splatting for Environment-Aware Beamforming

Yijie Bian, Wei Guo, Zixin Wang +3

Beamforming plays a key role in multiple-input-multiple-output (MIMO) communication systems. However, conventional beamforming design normally requires accurate instantaneous chann…

eess.SP2026

Task-Oriented Communication with Hybrid-Precision Models

Songjie Xie, Wei Guo, Shenghui Song +3

Edge inference has emerged as a promising solution for the proliferation of artificial intelligence (AI) services by deploying models at the network edge to circumvent cloud-routin…

eess.SP2026

Multi-Modal Environment-Aware Beam Management for Massive MIMO: A Geometry-Driven Virtual Base Station Framework

Yijie Bian, Wei Guo, Jie Yang +4

High-frequency massive multiple-input multiple-output (MIMO) systems promise ultra-high data rates. However, efficient beam management remains challenging due to the prohibitive be…

cs.IT2026

A Unified Two-Stage Generative Diffusion Framework for Channel Estimation and Port Selection in Multiuser MIMO-FAS

Erqiang Tang, Wei Guo, Hengtao He +3

Fluid antenna systems (FAS) have emerged as a promising technology for next-generation wireless systems. However, practical multiuser multiple-input multiple-output FAS (MIMO-FAS)…

cs.IT2026

Rethinking Mutual Coupling in Movable Antenna MIMO Systems: Modeling and Optimization

Tianyi Liao, Wei Guo, Jun Qian +4

Movable antennas (MAs) have attracted growing interest for their ability to improve channel conditions via adaptive antenna movement. Nevertheless, such movement inevitably introdu…

cs.IT2026

Rethinking Mutual Coupling in Movable Antenna MIMO Systems

Tianyi Liao, Wei Guo, Jun Qian +3

Movable antenna (MA) systems have emerged as a promising technology for future wireless communication systems. The movement of antennas gives rise to mutual coupling (MC) effects,…

cs.IT2025

Fluid Antenna-Assisted MU-MIMO Systems with Decentralized Baseband Processing

Tianyi Liao, Wei Guo, Hengtao He +3

The fluid antenna system (FAS) has emerged as a disruptive technology, offering unprecedented degrees of freedom (DoF) for wireless communication systems. However, optimizing fluid…

cs.IT2025

Accurate and Fast Channel Estimation for Fluid Antenna Systems with Diffusion Models

Erqiang Tang, Wei Guo, Hengtao He +3

Fluid antenna systems (FAS) offer enhanced spatial diversity for next-generation wireless systems. However, acquiring accurate channel state information (CSI) remains challenging d…

cs.IT2025

Joint Beamforming and Antenna Position Optimization for Fluid Antenna-Assisted MU-MIMO Networks

Tianyi Liao, Wei Guo, Hengtao He +3

The fluid antenna system (FAS) is a disruptive tech-nology for future wireless communication networks. This paper considers the joint optimization of beamforming matrices and anten…

cs.IT2024★ 1 cited

Model-Driven Deep Learning for Distributed Detection with Binary Quantization

Wei Guo, Meng He, Chuan Huang +4

Within the realm of rapidly advancing wireless sensor networks (WSNs), distributed detection assumes a significant role in various practical applications. However, critical challen…