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20232026
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20 papers · 1 filter

eess.SP2026

Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations

Xiaojie Li, Yu Han, Han Fang +3

Radiomap blind prediction infers radiomaps from observable representations of the propagation environment and base station (BS) configuration without field measurements. These repr…

eess.SP2026

Foundation Models for Wireless Localization: Pretraining, Adaptation, and Utilization

Guangjin Pan, Jiajia Guo, Zheng Xing +4

Accurate wireless localization is a key enabler for 6G networks, yet remains challenging under diverse and rapidly changing propagation conditions. Model-based methods degrade when…

eess.SP2026

CORF-GS: Real-Time Wireless Radiance Field Reconstruction via Coupled Optical-RF Gaussian Splatting

Jinya Zhang, Jiajia Guo, Chao-Kai Wen +1

Recent advances in 3D Gaussian Splatting (3DGS)-based wireless radiance field (WRF) reconstruction provide an efficient solution for wireless channel modeling. However, existing WR…

eess.SP2026

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications

Jiali Nie, Yu Han, Yuanhao Cui +3

Near-field beam training in extremely large-scale multiple-input multiple-output (XL-MIMO) vehicle-to-infrastructure (V2I) systems incurs high overhead due to large range-angle cod…

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…

eess.SP2026

Physics-Informed Path-Parametric Learning for Efficient and Lightweight CSI Feedback

Chunyu Ling, Jiajia Guo, Yiming Cui +4

Channel State Information (CSI) feedback is vital for high spectral efficiency in wireless systems, yet high-dimensional CSI introduce significant feedback overhead. Recent deep le…