Skip to main content
Log in

Transmission Power Control and Routing Strategy Based on Differential Games in Deep Space Exploration

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

The spectrum resource is a kind of scarce resource in the deep space exploration, the total bandwidth need for deep space communication is related to the required data rates, the number of spacecrafts, and the extent of spectrum frequency sharing. Future requirements of deep space communication may need to accommodate more spacecrafts within a particular band allocation, so the spread spectrum and multiple access techniques are widely used in deep space communications. And for the purpose of save power and reduce mutual interference, transmission power control may be introduced in the communication process. In this paper, a noncooperative differential game is proposed, and a power control algorithm is get from the equilibrium of the game, the results show that the algorithm can effectively reduce mutual interference, and also provide a way of route setup through relay nodes selection.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Peng, W.-C., & Yang, C.-C. (1990). S-band multiple-access interference study for advanced tracking and data relay satellite systems. In Military communications conference, 1990. MILCOM ’90, conference record, a new era. 1990 IEEE (Vol. 1, pp. 27–31).

  2. Deutsch, L., & Stocklin, F., et. al. (2008). Selecting codes, modulations, multiple access schemes, and link protocols for future NASA missions. In IEEE aerospace conference, Big Sky, March 2008.

  3. Stocklin, F., et. al. (2008). Evaluation of multiple access techniques for simultaneous space communications and tracking. In IEEE aerospace conference, Big Sky, March 2008.

  4. Vassallo, E. & Otter, M. (1998). Simulating radio frequency interference to the space services. European Space Agency, European Space Operations Centre (ESA/ESOC) Robert-Bosch-Strabe 5, D-64293 Darmstadt (Germany).

  5. Degroot, N. F. (1977). Radio frequency interference between spacecraft in different missions. The deep space network progress report, DSN PR (pp. 42–43), November and December 1977 (pp. 180–184).

  6. Thompson, W. L., & Israel, D. J. (2008). Adaptive power control for space communications. In Aerospace conference, 2008 IEEE (pp. 1–5).

  7. Lin, L., Wang, A.-P, Zhou, X.-W., & Miao, X.-N. (2010). Noncooperative differential game based efficiency-aware traffic assignment for multipath routing in CRAHN. Wireless Personal Communications. Online firstTM, July 27, 2010.

  8. Miao X.-N., Zhou X.-W., Wu H.-Y. (2010) A cooperative differential game model based on network throughput and energy efficiency in wireless networks. Optimization Letters 38: 292–295

    MathSciNet  MATH  Google Scholar 

  9. Zhou X.-W., Miao X.-N., He B., Zhou J., Wang A.-P. (2010) Rate control algorithm considering mobility in mobile ad hoc networks. International Journal of Wireless Information Networks 17(1-2): 26–33

    Article  Google Scholar 

  10. Miao X. N., & Zhou, X. W. (2009). Rate control, routing algorithm and scheduling for multicast with network coding in ad hoc networks. In Lecture notes in computer science, artificial intelligence and computational intelligence (Vol. 5855, pp. 705–714).

  11. Akyildiz I. F., Akan O. B., Chen C., Fang J., Su W. (2003) InterPlaNetary internet: State-of-the-art and research challenges. Computer Networks 43(2): 75–112

    Article  MATH  Google Scholar 

  12. Dixit A. K. (1979) A model of duopoly suggesting a theory of entry barriers. The Bell Journal of Economics 10: 20–32

    Article  MathSciNet  Google Scholar 

  13. Yeung D. W. K. (2007) Dynamically consistent cooperative solution in a differential game of transboundary industrial pollution. Journal of Optimization Theory and Applications 134(1): 143–160

    Article  MathSciNet  MATH  Google Scholar 

  14. Pontrygin L. S., Boltyanskii V. G., Gamkrelidze R. V., Mishchenko E. F. (1962) The mathematical theory of optimal processes. Interscience Publishers, New York, NY

    Google Scholar 

  15. Bellman R. (1957) Dynamic programming. Princeton University Press, Princeton, NJ

    MATH  Google Scholar 

  16. Fleming W. H. (1969) Optimal continuous-parameter stochastic control. SIMA Review 11: 470–509

    Article  MathSciNet  MATH  Google Scholar 

  17. Nash, J. F. (1950). Equilibrium points in n-person games. In Proceedings of the National Academy of Sciences of the United States of America (Vol. 36, pp. 48–49)

  18. Yeung D.W.K., Petrosyan L.A. (2005) Cooperative stochastic differential games. Chap. 3. Springer, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiao-Bo Wang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, XB., Zhou, XW. & Song, JD. Transmission Power Control and Routing Strategy Based on Differential Games in Deep Space Exploration. Wireless Pers Commun 67, 895–912 (2012). https://doi.org/10.1007/s11277-011-0417-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-011-0417-1

Keywords

Navigation