Low-Altitude Communication Networks Planning for Air Routes Coverage Based on Semi-Supervised GCN

IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS
Lan Lin;Yang Liu;Lei Cao;Jing Gao;Tianming Jiang
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引用次数: 0

Abstract

Low-altitude economy is poised to become a new economic form, influencing the next-generation wireless communications. It is essential to develop low-altitude communication networks (LACNs) capable of providing wireless coverage for aircrafts, whose planning methodologies are still not well-defined. To tackle this issue, a LACNs planning scheme to support air routes communication coverage is studied. Specifically, an extended semi-supervised graph convolutional network (ESemi-GCN) algorithm is proposed to select which existing ground base stations (BSs) should be upgraded to low-altitude BSs. Simulation results exhibit the efficiency and cost-effectiveness of the proposed ESemi-GCN algorithm to establish the LACNs.
基于半监督GCN的航路覆盖低空通信网规划
低空经济将成为一种新的经济形态,影响下一代无线通信。发展能够为飞机提供无线覆盖的低空通信网络(lacn)是至关重要的,其规划方法仍然没有明确定义。针对这一问题,研究了一种支持航路通信覆盖的lacn规划方案。具体而言,提出了一种扩展半监督图卷积网络(ESemi-GCN)算法来选择现有地面基站升级为低空基站。仿真结果表明,本文提出的ESemi-GCN算法建立lacn的效率和成本效益高。
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
IEEE Communications Letters
IEEE Communications Letters 工程技术-电信学
CiteScore
8.10
自引率
7.30%
发文量
590
审稿时长
2.8 months
期刊介绍: The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
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