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20242026
most citedToward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges

1 citations · 4 across the 35 of their papers we have counts for

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7 papers · 1 filter

eess.SP2026

RMSampler: Sparse Radio Map Reconstruction with Active Sampling and Diffusion Posterior Correction

Nan Cheng, Xiucheng Wang

Reconstructing a radio map (RM) from sparse received-power measurements supports non-cooperative interference monitoring and spectrum management. However,sparse measurements leave…

eess.SP2026

BeamRMX: Radiation-Pattern-Driven Learning for Generalizable Beam Radio Map Prediction and Beam Management

Yue Zhang, Xiucheng Wang, Wenshuo Chen +1

The evolution toward sixth-generation (6G) wireless networks is driving larger antenna arrays and highly directional multi-beam transmission, making accurate knowledge of beam-depe…

eess.SP2026

RadioVIL: Anomaly-Aware Diffusion Models for Radio Map Inpainting and Zero-Shot Vehicle Localization

Ruixin Zhao, Xiucheng Wang, Qiming Zhang +3

High-precision radio map construction is essential for emerging 6G Integrated Sensing and Communication (ISAC) applications, including digital twins and intelligent transportation.…

eess.SP2026

PALM: Single-Station Super-Resolved Small-Scale Radio-Map Localization by Path-Atom Matching

Xiucheng Wang, Nan Cheng

Localizing from a single base station is a longstanding goal, since it removes the synchronized anchors that geometric methods require. A radio map (RM) answers a position query fr…

eess.SP2026

Map2APS: A Physically Grounded Benchmark for Direct Angle Power Spectrum Prediction from Urban Geometry

Junxi Huang, Xiucheng Wang, Nan Cheng +3

Angle power spectrum (APS) characterizes the directional distribution of received signal power and is directly relevant to beam management and MIMO processing. While environment-aw…

eess.SP2026

Path-Level Radio Map-Aided Fast and Robust Channel Estimation for Pilot-Starved MIMO-OFDM Systems

Xiucheng Wang, Nan Cheng, Yiyan Zhang +2

Accurate channel estimation in massive multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is challenging when the number of pilot symbols…

eess.SP2025

RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communications

Qiming Zhang, Xiucheng Wang, Nan Cheng +2

Radio maps (RMs) provide a spatially continuous description of wireless propagation, enabling cross-layer optimization and unifying communication and sensing for integrated sensing…