A Method to Estimate Low SNR Regions for Optimal Deployment of UAV Relays in Next-Generation Mobile Communications

IF 0.7 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
IEICE Communications Express Pub Date : 2026-03-01 Epub Date: 2026-03-04 DOI:10.23919/comex.2025XBL0155
Taiga Shimano;Kazuhiko Fukawa
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引用次数: 0

Abstract

To optimally deploy relays in millimeter wave mobile communications, this paper proposes to predict received signal power by exploiting information on propagation paths. Within a certain distance from observation points, the proposed scheme is superior in terms of the accuracy to conventional Gaussian process (GP) based prediction, while reducing computational complexity more drastically than ray tracing. The integration of GP into the proposed scheme is also investigated, in which GP is applied to prediction points where the proposed one is ineffective. Computer simulations demonstrate that the integration scheme achieves approximate 2% improvement in the F1 score over GP.
下一代移动通信中无人机中继优化部署的低信噪比区域估计方法
为了在毫米波移动通信中优化中继部署,本文提出利用传播路径信息预测接收信号功率。在距离观测点一定距离的范围内,该方案的预测精度优于传统的高斯过程(GP)预测,同时比光线追踪更显著地降低了计算复杂度。本文还研究了GP与所提方案的集成,将GP应用于所提方案无效的预测点。计算机仿真表明,该集成方案比GP的F1分数提高了约2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEICE Communications Express
IEICE Communications Express ENGINEERING, ELECTRICAL & ELECTRONIC-
自引率
33.30%
发文量
114
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