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Satellite downlink scheduling problem: A case study

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  • Karapetyan, Daniel
  • Mitrovic Minic, Snezana
  • Malladi, Krishna T.
  • Punnen, Abraham P.

Abstract

The synthetic aperture radar (SAR) technology enables satellites to efficiently acquire high quality images of the Earth surface. This generates significant communication traffic from the satellite to the ground stations, and, thus, image downlinking often becomes the bottleneck in the efficiency of the whole system. In this paper we address the downlink scheduling problem for Canada׳s Earth observing SAR satellite, RADARSAT-2. Being an applied problem, downlink scheduling is characterised with a number of constraints that make it difficult not only to optimise the schedule but even to produce a feasible solution. We propose a fast schedule generation procedure that abstracts the problem specific constraints and provides a simple interface to optimisation algorithms. By comparing empirically several standard meta-heuristics applied to the problem, we select the most suitable one and show that it is clearly superior to the approach currently in use.

Suggested Citation

  • Karapetyan, Daniel & Mitrovic Minic, Snezana & Malladi, Krishna T. & Punnen, Abraham P., 2015. "Satellite downlink scheduling problem: A case study," Omega, Elsevier, vol. 53(C), pages 115-123.
    • Handle: RePEc:eee:jomega:v:53:y:2015:i:c:p:115-123
    DOI: 10.1016/j.omega.2015.01.001
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    2. Xiao, Yiyong & Zhang, Siyue & Yang, Pei & You, Meng & Huang, Jiaoying, 2019. "A two-stage flow-shop scheme for the multi-satellite observation and data-downlink scheduling problem considering weather uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 263-275.
    3. Rodriguez-Tello, Eduardo & Lardeux, Frédéric & Duarte, Abraham & Narvaez-Teran, Valentina, 2019. "Alternative evaluation functions for the cyclic bandwidth sum problem," European Journal of Operational Research, Elsevier, vol. 273(3), pages 904-919.
    4. Bingyu Song & Feng Yao & Yuning Chen & Yingguo Chen & Yingwu Chen, 2018. "A Hybrid Genetic Algorithm for Satellite Image Downlink Scheduling Problem," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-11, May.

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