Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation

dc.contributorAalto Universityen
dc.contributor.authorÇelikbilek, Kaanen_US
dc.contributor.authorSaleem, Zainaben_US
dc.contributor.authorMorales Ferre, Rubenen_US
dc.contributor.authorPraks, Jaanen_US
dc.contributor.authorLohan, Elena Simonaen_US
dc.contributor.departmentDepartment of Electronics and Nanoengineeringen
dc.contributor.groupauthorJaan Praks Groupen
dc.contributor.organizationTampere Universityen_US
dc.descriptionFunding Information: This work was supported by the Jane and Aatos Erko Foundation (JAES) and by the Teknologiateollisuus 100-year Foundation in the INCUBATE project. This work was also partly supported by the Academy of Finland, under the project ULTRA (328226, 328214). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
dc.description.abstractFuture autonomous transportation is one of the most demanding application areas in terms of connectivity, as it has to simultaneously meet stringent criteria that do not typically go hand in hand, such as high throughput, low latency, high coverage/availability, high positioning and sensing accuracies, high security and robustness to interferences, etc. In order to meet the future demands of challenging applications, such as applications relying on autonomous vehicles, terrestrial networks are no longer sufficient and are to be augmented in the future with satellite-based networks. Among the emerging satellite networks, Low Earth Orbit (LEO) networks are able to provide advantages over traditional Medium Earth Orbit (MEO) and Geo-Stationary Earth Orbit (GEO) networks in terms of signal latency, cost, and performance. Nevertheless, several challenges exist in LEO system design, which have not been fully addressed in the existing literature. In particular, the problem of LEO-system optimization of design parameters is a multi-dimensional problem with many aspects to be considered. This paper offers a comprehensive survey of the LEO-system design parameters, of the challenges in LEO system design process, and of the optimization methods for satellite communication, positioning, and sensing applications, as well as a summarizing discussion on the design considerations for LEO-based networks to support future autonomous transportation.en
dc.description.versionPeer revieweden
dc.identifier.citationÇelikbilek, K, Saleem, Z, Morales Ferre, R, Praks, J & Lohan, E S 2022, ' Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation ', Sensors, vol. 22, no. 4, 1421 .
dc.identifier.otherPURE UUID: 1cdd6f33-46b4-4e05-8eea-e09be23fd367en_US
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dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofseriesVolume 22, issue 4en
dc.subject.keywordAutonomous transportationen_US
dc.subject.keywordGround segmenten_US
dc.subject.keywordLow Earth Orbit (LEO) satellite networksen_US
dc.subject.keywordMulti-target designen_US
dc.subject.keywordOptimization criteriaen_US
dc.subject.keywordSpace segmenten_US
dc.subject.keywordUser segmenten_US
dc.titleSurvey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportationen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi