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FACTS2: Framework for Aeronautical Communications and Traffic Simulations 2

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Published:25 November 2019Publication History

ABSTRACT

Civil air traffic is currently growing by about 2.7% per year and, thus, is expected to double in the next 26 years. To cope with this growth the current communication, navigation and surveillance infrastructure for civil aviation is undergoing the transformation from analogue to digital systems. To fulfill the requirements of digital ATM communication we need large-scale simulations to simulate future aeronautical communication systems scaled to the increased amount of participants. This paper presents FACTS2 -- the Framework for Aeronautical Communications and Traffic Simulations 2 -- enabling the German Aerospace Center (DLR) to use simple software building blocks called "simulation services" to create complex simulations for this purpose. Via FACTS2 we can simulate and evaluate arbitrary air-to-ground or air-to-air wireless point-to-point or broadcast data links between arbitrary entities such as ground-stations, aircraft, or drones in a mobile environment.

References

  1. S. Ayaz, F. Hoffmann, U. Epple, R. German, and F. Dressler. 2012. Performance Evaluation of Network Mobility Handover Over Future Aeronautical Data Link . Computer Communications , Vol. 35, 3 (Feb. 2012), 334--343.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. T. Gr"aupl, M. Mayr, and C.-H. Rokitansky. 2016. A Method for SWIM-compliant Human-in-the-loop Simulation of Airport Air Traffic Management . International Journal of Aerospace Engineering , Vol. 2016 (Jun 2016), 1--15.Google ScholarGoogle Scholar
  3. A. Helfrick. 2018. Principles of Avionics . Vol. 9. Avionics Com.Google ScholarGoogle Scholar
  4. R. L. Henderson. 1995. Job Scheduling Under the Portable Batch System . In Workshop on Job Scheduling Strategies for Parallel Processing. Springer, 279--294.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. F. Hoffmann, C. Bauer, D. Medina, and S. Ayaz. 2008. FACTS: An OMNeTGoogle ScholarGoogle Scholar
  6. Based Simulator for Aeronautical Communications. In 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & Workshops. ACM, 1--4.Google ScholarGoogle Scholar
  7. W. L. Hürsch and C. V. Lopes. 1995. Separation of Concerns. Technical Report. College of Computer Science, Northeastern University. 1--20 pages.Google ScholarGoogle Scholar
  8. M. Khanna, C. Dhas, C. Wargo, S. Vidyanandan, M. Joseph, C. Netto, and K. Wargo. 2003. Results of Field Trials and Features of FASTE-CNS-a Traffic Analysis and Capacity Planning Tool for Communications, Navigation and Surveillance. In 22nd Digital Avionics Systems Conference (DASC). IEEE, 4.B.5/1--4.B.5/8.Google ScholarGoogle Scholar
  9. M. Schnell, U. Epple, D. Shutin, and N. Schneckenburger. 2014. LDACS: Future Aeronautical Communications for Air-Traffic Management . IEEE Communications Magazine , Vol. 52, 5 (May 2014), 104--110.Google ScholarGoogle ScholarCross RefCross Ref

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  1. FACTS2: Framework for Aeronautical Communications and Traffic Simulations 2

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          cover image ACM Conferences
          PE-WASUN '19: Proceedings of the 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks
          November 2019
          87 pages
          ISBN:9781450369084
          DOI:10.1145/3345860

          Copyright © 2019 ACM

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          New York, NY, United States

          Publication History

          • Published: 25 November 2019

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