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Aspects of Satellite Constellation and System Connectivity Analysis

  • A. Böttcher
  • G. E. Corazza
  • E. Lutz
  • F. Vatalaro
  • M. Werner

Abstract

Recent years have seen many efforts in the field of communication networks based on constellations of non-geostationary satellites. The paper addresses an in-depth analysis of these systems, from three different viewpoints: geometrical, transmission quality and network connectivity. The geometrical analysis yields the statistics for coverage, frequency of satellite handovers and link absence periods. The transmission quality analysis is based on a general model valid for all access techniques, which is here applied to the case of FDMA. The outage probability as a function of the specification on carrier-to-interference power ratio is evaluated for a few selected constellations, also considering some possible interference-reduction techniques (spot turn-off, intra-orbital plane frequency division, and inter-orbital plane frequency division). The approach is extended to the case of non-ideal propagation conditions, namely non-selective multipath fading and shadowing. Finally, a formal model for networks based on non-geostationary satellite constellations as well as a traffic engineering concept are introduced, both forming a basis for a detailed network connectivity analysis. Given the network topology and the traffic requirements, the main task is the assessment of capacity requirements on the different links within the network, including the radio links from the satellites to mobile users and to gateways, as well as intersatellite links and terrestrial lines. A software tool for the numerical evaluation is presented together with some representative results on worst-case and average link capacity requirements, on-board RF power figures, and propagation delays.

Keywords

Outage Probability Mobile User Elevation Angle Frequency Reuse Transmission Quality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    R.A. Wiedeman, A.J. Viterbi, “The Globalstar mobile satellite system for worldwide personal communications,” in Proc. 3rd Int. Mobile Sat. Conf., IMSC’93, Pasadena, pp. 291–296, June 1993.Google Scholar
  2. 2.
    J.E. Hatlelid, L. Casey, “The Iridium system personal communications anytime, anyplace,” in Proc. 3rd Int. Mobile Sat. Conf., IMSC’93, Pasadena, pp. 285–290, June 1993.Google Scholar
  3. 3.
    C.J. Spitzer, “Odyssey personal communications satellite system,” in Proc. 3rd Int. Mobile Sat. Conf., IMSC’93, Pasadena, pp. 297–302, June 1993.Google Scholar
  4. 4.
    G.E. Corazza, A. Jahn, E. Lutz, F. Vatalaro, “Channel Characterization for Mobile Satellite Communications”, Proc. EMPS’94.Google Scholar
  5. 5.
    F. Vatalaro, G.E. Corazza, C. Caini, C. Ferrarelli, “Analysis of LEO, MEO and GEO Global Mobile Satellite Systems in the Presence of Interference and Fading”, to be published on IEEE Journ. Selec. Areas in Comm..Google Scholar
  6. 6.
    G.E. Corazza, F. Vatalaro, “Comparison of Low and Medium Orbit Systems for Future Satellite Personal Communications” IEEE Pac. Rim Conf. on Comm., Computer and Signal Proc., IEEE 93CH32–88, 1993, pp. 678–681.Google Scholar
  7. 7.
    A. Böttcher, M. Werner, “Strategies for Handover Control in Low Earth Orbit Satellite Systems”, Proc. IEEE Veh. Tech. Conf., Stockholm, 1994. pp. 1616- 1620.Google Scholar
  8. 8.
    G.E. Corazza, F. Vatalaro, “Interference Analysis in Satellite Cellular Systems”, Proc. IEEE Int. Symp. on Personal, Indoor and Mobile Radio Comm., Boston, October 19–21, pp. 377–381, 1992.Google Scholar
  9. 9.
    G.E. Corazza, F. Vatalaro, “A Statistical Model for Land Mobile Satellite Channels and Its Application to Non-Geostationary Orbit Systems”, IEEE Trans, on Vehicular Technology, Vol. 43, N.3, August 1994.Google Scholar
  10. 10.
    A. Böttcher et al., “Networking requirements for user-oriented low earth orbit satellite systems,” Final Report, ESA Contract No.: 9732/91/NL/RE, 1992.Google Scholar
  11. 11.
    R. Del Ricco, “LEO system study for a definition of MINISTAR (Iridium- like),” Final Report, ESA Contr. 8564/89/NL/DG CCN N. 1, Dec. 1991.Google Scholar
  12. 12.
    F. Harary, “Graph Theory”, Addison-Wesley, 1969.Google Scholar
  13. 13.
    C.H. Papadimitriou and K. Steiglitz, Combinatorial Optimization: Algorithms and Complexity. Englewood Cliffs, NJ: Prentice-Hall, 1982.Google Scholar
  14. 14.
    L. Kleinrock, “Queueing Systems”, Vol.1. New York: J. Wiley, 1975.MATHGoogle Scholar
  15. 15.
    A. Dutta und D.V. Rama, “An optimization model of communications satellite planning,” IEEE Trans. Commun., Vol. COM-40, No. 9, pp. 1463–1473, 1992.Google Scholar

Copyright information

© Springer-Verlag London Limited 1995

Authors and Affiliations

  • A. Böttcher
    • 1
  • G. E. Corazza
    • 2
  • E. Lutz
    • 1
  • F. Vatalaro
    • 2
  • M. Werner
    • 1
  1. 1.German Aerospace Research Establishment (DLR)Institute for Communications TechnologyWesslingGermany
  2. 2.Department of Electronic EngineeringUniversity of Rome “Tor Vergata”RomaItaly

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