Modern satellite communication systems are required to serve heterogeneous and geographically dispersed user demands with limited resources. In this paper, we investigate methodologies for dynamic resource allocation in Geosynchronous Earth Orbit (GEO) High-throughput Satellite (HTS) systems. We designed three solution approaches FlexBeamOpt v1, FlexBeamOpt v2, and FlexBeamOpt v3, each as a hybridization of custom heuristics, integer linear programming, and/or constraint programming. We test the performance of the three approaches on 12 test instances that vary in user distribution (realistic, random, and clustered), user numbers (500 vs. 5000 users), and demand distribution (uniform vs. random). We observed that FlexBeamOpt v1 consistently outperformed FlexBeamOpt v2 and FlexBeamOpt v3 in terms of demand coverage and number of users covered for realistic and random user distribution test instances but at the cost of computation time. FlexBeamOpt v3 is the fastest in these instances. For clustered user distribution instances, FlexBeamOpt v3 performed better in terms of demand coverage and number of users covered, at the cost of using more beams. For these test instances, FlexBeamOpt v2 is the fastest in terms of computation time while providing a comparable solution quality.
{"title":"FlexBeamOpt: Hybrid solution methodologies for high-throughput GEO satellite beam laydown and resource allocation","authors":"Angus Gaudry, Ryan Li, Vicky Mak-Hau","doi":"10.1002/sat.1481","DOIUrl":"10.1002/sat.1481","url":null,"abstract":"<p>Modern satellite communication systems are required to serve heterogeneous and geographically dispersed user demands with limited resources. In this paper, we investigate methodologies for dynamic resource allocation in Geosynchronous Earth Orbit (GEO) High-throughput Satellite (HTS) systems. We designed three solution approaches <span>FlexBeamOpt v1</span>, <span>FlexBeamOpt v2</span>, and <span>FlexBeamOpt v3</span>, each as a hybridization of custom heuristics, integer linear programming, and/or constraint programming. We test the performance of the three approaches on 12 test instances that vary in user distribution (realistic, random, and clustered), user numbers (500 vs. 5000 users), and demand distribution (uniform vs. random). We observed that <span>FlexBeamOpt v1</span> consistently outperformed <span>FlexBeamOpt v2</span> and <span>FlexBeamOpt v3</span> in terms of demand coverage and number of users covered for realistic and random user distribution test instances but at the cost of computation time. <span>FlexBeamOpt v3</span> is the fastest in these instances. For clustered user distribution instances, <span>FlexBeamOpt v3</span> performed better in terms of demand coverage and number of users covered, at the cost of using more beams. For these test instances, <span>FlexBeamOpt v2</span> is the fastest in terms of computation time while providing a comparable solution quality.</p>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sat.1481","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42717611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Direct-to-Earth transmissions with optical on/off-keying are becoming the method of choice to realize telemetry downlinks from low Earth orbit satellites at highest data-rates. Here, we review the calculation procedure for a practical assessment of the mean link budget in this space-ground data communication technology. We present a comprehensive survey of the dynamic orbital and beam-pointing effects as well as the impacts from atmospheric attenuation on the link performance. The paper provides an exhaustive review of the formulas commonly used and propounds a recipe to reliably estimate the received power on ground. An overview of typical data transmitter terminals, transmission channel parameters, and the according optical ground stations is provided. Comparison with measured received powers over transmitter elevation angle and the respective design estimates serves for verification.
{"title":"Link budget calculation in optical LEO satellite downlinks with on/off-keying and large signal divergence: A simplified methodology","authors":"Dirk Giggenbach, Marcus T. Knopp, Christian Fuchs","doi":"10.1002/sat.1478","DOIUrl":"10.1002/sat.1478","url":null,"abstract":"<p>Direct-to-Earth transmissions with optical on/off-keying are becoming the method of choice to realize telemetry downlinks from low Earth orbit satellites at highest data-rates. Here, we review the calculation procedure for a practical assessment of the mean link budget in this space-ground data communication technology. We present a comprehensive survey of the dynamic orbital and beam-pointing effects as well as the impacts from atmospheric attenuation on the link performance. The paper provides an exhaustive review of the formulas commonly used and propounds a recipe to reliably estimate the received power on ground. An overview of typical data transmitter terminals, transmission channel parameters, and the according optical ground stations is provided. Comparison with measured received powers over transmitter elevation angle and the respective design estimates serves for verification.</p>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sat.1478","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48494741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}