English(EN) BeamRMX: Radiation-Pattern-Driven Learning for Generalizable Beam Radio Map Prediction and Beam Management

新的BeamRMX框架预测6G无线波束无线电地图

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了BeamRMX，一个新颖的框架，旨在预测6G无线网络的波束无线电地图。该系统通过将空间辐射模式作为主要查询，解决了从单一传播场景生成多个依赖于配置的波束无线电地图的挑战。实验表明，与现有方法相比，在准确性和泛化性方面有了显著提高，在未见过的场景和配置上的平均绝对误差大幅降低。 AI

影响该框架可以通过改进波束管理和空间覆盖预测来提高未来6G无线网络的效率和可靠性。

排序理由详细介绍无线通信新技术的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.LG TIER_1 English(EN) · Yue Zhang, Xiucheng Wang, Wenshuo Chen, Nan Cheng · 2026-09-02 04:00

BeamRMX：面向通用波束无线电地图预测和波束管理的辐射模式驱动学习

arXiv:2609.00615v1 Announce Type: cross Abstract: The evolution toward sixth-generation (6G) wireless networks is driving larger antenna arrays and highly directional multi-beam transmission, making accurate knowledge of beam-dependent spatial coverage important for beam manageme…