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Xin-Yi Wang

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Preprint Sep 2026

Intelligent Beamforming and Handover via Physics-Informed Beam-Aware CKM Diffusion

Downlink communications from base stations (BSs) to unmanned aerial vehicles (UAVs) in sixth-generation (6G) networks require precise beam alignment to overcome severe mobile communication path loss. However, traditional exhaustive beam sweeping relies on discrete codebooks and consumes valuable air-interface resources...

Le Zhao, Ze-Song Fei, Xin-Yi Wang et al. · 0 citations
Preprint Sep 2026

Probabilistic Symbol-Level Precoding based Affine Frequency Division Multiplexing Transmission

Affine frequency division multiplexing (AFDM) has recently gained significant attention due to its robustness against time-frequency doubly selective channel fading. However, the high computational complexity at the receiver poses a critical challenge for practical deployment. To overcome this issue, we propose a proba...

Shun-Tian Tang, Xin-Yi Wang, Shuang-Yang Li et al. · 0 citations
Preprint Sep 2026

Joint DNN Partitioning and Resource Allocation for Satellite-Terrestrial Collaborative Inference Systems

This letter investigates a satellite-terrestrial collaborative inference system for remote sensing information processing, where a ground station (GS) serves multiple low Earth orbit (LEO) satellites running heterogeneous deep neural network (DNN) inference tasks. By partitioning the DNN between the satellite and the G...

Wen-Yu Liang, Ze-Song Fei, Peng Liu et al. · 0 citations
2026

Environment-Aware Beamforming Prediction: A CKM-Inspired Approach

In multiple-input multiple-output (MIMO) systems, beamforming is a core enabler for concentrating signal power toward targeted users to enhance spectral efficiency and network capacity. However, realizing the full potential of beamforming critically relies on accurate channel state information (CSI). Conventional CSI a...

Yi-Ning Wang, Ha Nan, Le Zhao et al. · 0 citations
Preprint Aug 2026

Integrated Sensing, Communication, and Computing in Multi-Tier Systems: Joint Hybrid Beamforming Design and Computation Resource Allocation

A two-layer framework to jointly determine the optimal DNN splitting point and computation resource allocation and employ a weighted minimum mean square error (WMMSE)-based approach with manifold optimization for hybrid beamforming design is designed.

Peng Liu, Ze-Song Fei, Xin-Yi Wang et al. · 0 citations

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