Abstract
In order to support a mass of current satellite applications, it becomes a trend to integrate satellite networks with terrestrial networks, called satellite-terrestrial networks. However, traditional network protocols cannot adapt to the dynamic and complex satellite-terrestrial network. Moreover, the computing and communication capabilities of some satellites cannot meet the requirements of supporting various applications. As a result, the paper proposes an edge computing based software-defined satellite-terrestrial network architecture, which can manage network flexibly by logically centralizing network intelligence and control. Furthermore, a networking and edge computing scheme is proposed by formulating a jointly optimization problem, which is solved by using novel deep Q-learning approach. Simulation results show the effectiveness of the proposed scheme.
Supported by the Key Program of the National Natural Science Foundation of China (61431008).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xu, F., Yang, F., Qiu, C., Zhao, C., Li, B. (2019). DQN Aided Edge Computing in Satellite-Terrestrial Network. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_11
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DOI: https://doi.org/10.1007/978-3-030-19153-5_11
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