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Journal of Electrical and Computer Engineering
Volume 2012, Article ID 169026, 10 pages
Research Article

Resource Management in Satellite Communication Systems: Heuristic Schemes and Algorithms

School of Engineering, Ruppin Academic Center, Emek Hefer, Israel

Received 26 February 2012; Revised 30 April 2012; Accepted 1 May 2012

Academic Editor: Yi Su

Copyright © 2012 Shahaf I. Wayer and Arie Reichman. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. ETSI: EN 302 307, Digital Video Broadcasting (DVB), “Second generation framing structure, channel coding and modulation systems for Broadcasting, Interactive Services, News Gathering and other broadband satellite applications (DVB-S2),” European Standard (Telecommunications series), 2005.
  2. ETSI: EN 300 421, Digital Video Broadcasting (DVB), “Framing structure, channel coding and modulation for 11/12 GHz satellite services (DVB-S),” European Standard (Telecommunications series),1994.
  3. ETSI: EN 301 790, Digital Video Broadcasting (DVB), “Interaction channel for satellite distribution systems (DVB-RCS),” European Standard (Telecommunications series), 2005.
  4. G. Giambene, Resource Management in Satellite Networks Optimization and Cross-Layer Design, Springer, 2007.
  5. S. I. Wayer and A. Reichman, “Resource management in satellite communication systems—Heuristic algorithms,” in Proceedings of the IEEE 26th Convention of Electrical and Electronics Engineers in Israel (IEEEI '10), pp. 342–346, November 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. D. Pisinger, “A Minimal Algorithm for the Bounded Knapsack Problem,” INFORMS Journal on Computing, vol. 12, no. 1, pp. 75–82, 2000. View at Google Scholar · View at Scopus
  7. V. Birmani, Resource allocation for Ka-band broadband satellite systems [M.S. thesis], University of Maryland, 1999.
  8. R. Rajkumar, C. Lee, J. P. Lehoczky, and D. P. Siewiorek, “Practical solutions for QoS-based resource allocation problems,” in Proceedings of the 19th IEEE Real-Time Systems Symposium, pp. 296–306, December 1998. View at Scopus
  9. S. Goddard , “P, NP, and NP-Complete,” CSCE 310J lecture notes on “Data Structures & Algorithms”, University of Nebraska-Lincoln,
  10. M. Hifi, M. Michrafy, and A. Sbihi, “Heuristic algorithms for the multiple-choice multidimensional knapsack problem,” Journal of the Operational Research Society, vol. 55, no. 12, pp. 1323–1332, 2004. View at Publisher · View at Google Scholar · View at Scopus
  11. T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein, Introduction to Algorithms, MIT Press, 2nd edition, 2001.
  12. Quality of Service Networking,
  13. A. Papoulis, Probability, Random Variables, and Stochastic Processes, McGraw-Hill, New York, NY, USA, 2nd edition, 1984.
  14. M. Menth, A. Binzenhöfer, and S. Mühleck, “Source models for speech traffic revisited,” IEEE/ACM Transactions on Networking, vol. 17, no. 4, pp. 1042–1051, 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. O. Rose, “Simple and efficient models for variable bit rate MPEG video traffic,” Performance Evaluation, vol. 30, no. 1-2, pp. 69–85, 1997. View at Google Scholar · View at Scopus