Distributionally Robust Planning for Data Delivery in Distributed Satellite Cluster Network | Zendy

Di Zhou | Zendy; Min Sheng | Zendy; Bin Li | Zendy; Jiandong Li | Zendy; Zhu Han | Zendy

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Distributionally Robust Planning for Data Delivery in Distributed Satellite Cluster Network

Author(s) -

Di Zhou,

Min Sheng,

Bin Li,

Jiandong Li,

Zhu Han

Publication year - 2019

Publication title -

ieee transactions on wireless communications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.01

H-Index - 223

eISSN - 1558-2248

pISSN - 1536-1276

DOI - 10.1109/twc.2019.2916663

Subject(s) - computer science , robust optimization , stochastic optimization , optimization problem , mathematical optimization , stochastic programming , uncertain data , ambiguity , data set , data mining , algorithm , mathematics , artificial intelligence , programming language

The emerging distributed satellite cluster network (DSCN) holds great promise in various practical fields, including earth observation, disaster rescue, and tracking of forest fires. In the DSCN environment, it is essential to achieve the best data delivery performance by coordinating multi-dimensional heterogeneous and dynamic resources. However, in real-world applications, the distribution of lo...

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