{"title":"Low-Altitude Communication Networks Planning for Air Routes Coverage Based on Semi-Supervised GCN","authors":"Lan Lin;Yang Liu;Lei Cao;Jing Gao;Tianming Jiang","doi":"10.1109/LCOMM.2025.3590398","DOIUrl":null,"url":null,"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.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2178-2182"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11084938/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
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.
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.