Optimal Computation Resource Allocation Scheme for LEO Satellite Networks
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6554-7_176
Reference7 articles.
1. Wu, Y., Hu, G., Jin, F., Zu, J.: A satellite handover strategy based on the potential game in LEO satellite networks. IEEE Access 7, 133641–133652 (2019). https://doi.org/10.1109/ACCESS.2019.2941217
2. Liu, S., Lin, J., Xu, L., Gao, X., Liu, L., Jiang, L.: A dynamic beam shut off algorithm for LEO multibeam satellite constellation network. IEEE Wirel. Commun. Lett. 9(10), 1730–1733 (2020). https://doi.org/10.1109/LWC.2020.3002846
3. Liu, S., Hu, X., Wang, Y., Cui, G., Wang, W.: Distributed caching based on matching game in LEO satellite constellation networks. IEEE Commun. Lett. 22(2), 300–303 (2018)
4. Mai, T., Yao, H., Li, F., Xu, X., Jing, Y., Ji, Z.: Computing resource allocation in LEO satellites system: a stackelberg game approach. In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), Tangier, Morocco, pp. 919–924 (2019). https://doi.org/10.1109/IWCMC.2019.8766525
5. Jin, Y., Yao, H., Mai, T.: Double auction game-based computing resource allocation in LEO satellite system. In: 2020 International Wireless Communications and Mobile Computing (IWCMC), Limassol, Cyprus, pp. 274–279 (2020). https://doi.org/10.1109/IWCMC48107.2020.9148261
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