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Xiang-Hao Yu

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Preprint Aug 2026

Efficient Discrete Position Design for Movable Antenna Systems: Low Complexity and Robustness

Building on advances in reconfigurable antenna techniques, movable antennas (MAs) can dynamically reshape antenna arrays and introduce additional spatial degrees of freedom (DoFs), thereby further improving communication performance. Despite these benefits, existing MA design algorithms often entail prohibitively high...

Haonan Wang, Xiang-Hao Yu, Rui Wang et al. · 0 citations
Preprint Sep 2026

Antenna Placement for Monostatic Near-Field Wireless Sensing

Functional analysis of the SPEB's moment structure proves that the optimal antenna distributions can be realized by a centro-symmetric structure, and shows that the worst-case target is located at the array broadside on the Rayleigh boundary.

Jin-Jian Liu, Xian-Xin Song, Xiang-Hao Yu · 0 citations
Preprint Sep 2026

A Gram-Attention Learning Framework for Spatially Non-Stationary Channel Estimation

As next-generation wireless systems migrate to high-frequency bands, extremely large-scale multiple-input multiple-output (XL-MIMO) is indispensable for combating severe path loss. However, the received path energy along the extremely large array aperture (ELAA) may exhibit spatial non-stationarity, rendering the conve...

Jian-Nan Wang, Xiang-Hao Yu, Chen Wu · 0 citations
Preprint Aug 2026

Spatially Reconfigurable Antenna Systems for 6G: EM-based Channel Modeling, Measurements, and Orientation Design

Spatially reconfigurable antenna systems (SRASs) are recognized as a key physical-layer technology for sixth-generation (6G) systems. By dynamically adjusting each antenna element's spatial configuration, e.g., position and orientation, SRASs can revamp favorable channel conditions for reliable high-rate data transmiss...

Chengcheng Xu, Yizhu Yan, Geng-Bo Wu et al. · 0 citations
Review Jul 2026

WARA: A Closed-Loop Multi-Agent Framework for Wireless Optimization Autoresearch

Comparative results show that WARA substantially outperforms one-shot LLM generation and approaches the quality profile of recently accepted peer-reviewed papers, demonstrating the potential of closed-loop artifact control for end-to-end LLM-assisted wireless optimization research.

Yuan-Cheng Guo, Yilong Chen, Chao Hu et al. · 1 citation · ⚡1

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