{"title":"Heterogeneous Low Altitude Platforms Deployment Strategy for Emergency Network","authors":"Mengjun Yin, Wei-Jhih Lin, Shuai Wu, Xian Gao, Wenjing Li, Peng Yu, Lei Feng","doi":"10.1109/BMSB58369.2023.10211215","DOIUrl":null,"url":null,"abstract":"In order to cope with the emergency scenarios, this paper proposed a heterogeneous low altitude platform deployment strategy to realize a seamless and continuous service wireless network. We designed an aerial network deployment Architecture composed of aerial base station (AeBS), aerial remote radio head (AeRRH) and millimeter-wave Unmanned Aerial Vehicle (mmW-UAV). The coverage problem of AeBS and AeRRH is solved through the circle packing algorithm and fixed coverage greedy deployment algorithm. The gradient enhanced greedy expectation maximization is used to implement the mmW-UAV to enhance local capacity. Finally, the numerical results show that the proposed strategy can effectively extend the network coverage.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"3 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMSB58369.2023.10211215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to cope with the emergency scenarios, this paper proposed a heterogeneous low altitude platform deployment strategy to realize a seamless and continuous service wireless network. We designed an aerial network deployment Architecture composed of aerial base station (AeBS), aerial remote radio head (AeRRH) and millimeter-wave Unmanned Aerial Vehicle (mmW-UAV). The coverage problem of AeBS and AeRRH is solved through the circle packing algorithm and fixed coverage greedy deployment algorithm. The gradient enhanced greedy expectation maximization is used to implement the mmW-UAV to enhance local capacity. Finally, the numerical results show that the proposed strategy can effectively extend the network coverage.