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DC Field | Value | Language |
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dc.citation.number | 14 | - |
dc.citation.startPage | 3221 | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 19 | - |
dc.contributor.author | Ladosz, Pawel | - |
dc.contributor.author | Kim, Jongyun | - |
dc.contributor.author | Oh, Hyondong | - |
dc.contributor.author | Chen, Wen-Hua | - |
dc.date.accessioned | 2023-12-21T18:56:36Z | - |
dc.date.available | 2023-12-21T18:56:36Z | - |
dc.date.created | 2019-09-02 | - |
dc.date.issued | 2019-07 | - |
dc.description.abstract | This paper presents a detailed experimental assessment of Gaussian Process (GP) regression for air-to-ground communication channel prediction for relay missions in urban environment. Considering restrictions from outdoor urban flight experiments, a way to simulate complex urban environments at an indoor room scale is introduced. Since water significantly absorbs wireless communication signal, water containers are utilized to replace buildings in a real-world city. To evaluate the performance of the GP-based channel prediction approach, several indoor experiments in an artificial urban environment were conducted. The performance of the GP-based and empirical model-based prediction methods for a relay mission was evaluated by measuring and comparing the communication signal strength at the optimal relay position obtained from each method. The GP-based prediction approach shows an advantage over the model-based one as it provides a reasonable performance without a need for a priori information of the environment (e.g., 3D map of the city and communication model parameters) in dynamic urban environments. | - |
dc.identifier.bibliographicCitation | SENSORS, v.19, no.14, pp.3221 | - |
dc.identifier.doi | 10.3390/s19143221 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.scopusid | 2-s2.0-85070462574 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/30389 | - |
dc.identifier.url | https://www.mdpi.com/1424-8220/19/14/3221 | - |
dc.identifier.wosid | 000479160300188 | - |
dc.language | 영어 | - |
dc.publisher | MDPI | - |
dc.title | Experimental Validation of Gaussian Process-Based Air-to-Ground Communication Quality Prediction in Urban Environments | - |
dc.type | Article | - |
dc.description.isOpenAccess | TRUE | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments & Instrumentation | - |
dc.relation.journalResearchArea | Chemistry; Engineering; Instruments & Instrumentation | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | unmanned aerial vehicles | - |
dc.subject.keywordAuthor | communication relay | - |
dc.subject.keywordAuthor | gaussian process regression | - |
dc.subject.keywordAuthor | wireless communication model | - |
dc.subject.keywordAuthor | urban environment | - |
dc.subject.keywordPlus | RELAY | - |
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