{"title":"Capacity Analysis of Civil Aircraft Networks in SAGIN","authors":"Qian Chen, Shuxun Li, W. Meng, Cheng Li","doi":"10.1109/ICC45855.2022.9839257","DOIUrl":null,"url":null,"abstract":"Although 5G networks have been gradually commercialized, many scenarios like emergency areas and remote regions still exist with vast communication problems. In this paper, we provide capacity analysis for the novel network architecture called civil-aircraft augmented space-air-ground integrated networks (CAA-SAGIN). First, we discuss the influence of the spatial distribution of civil aircraft (CA) and satellites on the Rician factor. Then, based on the derived moment generating function related to small-fading variables, we deduce the closed-form expressions of ergodic capacity under nearest association strategies. The numerical results demonstrate that CA networks can provide significant ergodic capacity with the multi-platform association strategy. The benefits of CA networks are proved quantitatively, and our works can provide a reference for the design of future SAGIN.","PeriodicalId":193890,"journal":{"name":"ICC 2022 - IEEE International Conference on Communications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICC 2022 - IEEE International Conference on Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC45855.2022.9839257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Although 5G networks have been gradually commercialized, many scenarios like emergency areas and remote regions still exist with vast communication problems. In this paper, we provide capacity analysis for the novel network architecture called civil-aircraft augmented space-air-ground integrated networks (CAA-SAGIN). First, we discuss the influence of the spatial distribution of civil aircraft (CA) and satellites on the Rician factor. Then, based on the derived moment generating function related to small-fading variables, we deduce the closed-form expressions of ergodic capacity under nearest association strategies. The numerical results demonstrate that CA networks can provide significant ergodic capacity with the multi-platform association strategy. The benefits of CA networks are proved quantitatively, and our works can provide a reference for the design of future SAGIN.