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# System prepended metadata

title: Ideas

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# Ideas

## A. Resource Allocation in Satellite with Cloud Computing (training young researchers)


### I. Satellite Edge Computing 
- Zhang, Z., Zhang, W., & Tseng, F.-H. (2019). Satellite Mobile Edge Computing: Improving QoS of High-Speed Satellite-Terrestrial Networks Using Edge Computing Techniques. IEEE Network, 33(1), 70–76. doi:10.1109/mnet.2018.1800172 
    -  the time and energy costs of the inter-satellite link and space-terrestrial links also need to be considered, which leads to a more complex scheduling model compared to MEC.
    -  Energy cost may be caused by terrestrial transmission, space-terrestrial transmission, and inter-satellite communication. In particular, since the satellites are usually power-limited, it is crucial to save energy cost as much as possible. 
    -  Stochastic opt formulation example
![](https://i.imgur.com/M1WU2ir.png)


- Wang, Y., Yang, J., Guo, X., & Qu, Z. (2020). A Game-Theoretic Approach to Computation Offloading in Satellite Edge Computing. IEEE Access, 8, 12510–12520. doi:10.1109/access.2019.2963068 
    - A set of remote terrestrial devices is located in a small fixed area, and a set of satellites is in orbit. A task can be executed locally on a device or offloaded to an edge computing server deployed on a satellite via satellite-terrestrial communication. Due to the intermittent terrestrial-satellite communication, a device cannot offload tasks to a satellite at any time, i.e., tasks will be offloaded only if the satellite is flying over.
![](https://i.imgur.com/YSWcAhm.jpg)


    - Different from the stable communication in MEC, the satellite cannot always communicate with terrestrial devices. The terrestrial-satellite communication link can be established, only if the satellite orbits satisfy specific geometric constraints
    ![](https://i.imgur.com/8FXAk2q.png)
    


### II. Satellite-terrestrial network
- Qiu, C., Yao, H., Yu, R., Xu, F., & Zhao, C. (2019). Deep Q-learning Aided Networking, Caching, and Computing Resources Allocation in Software-Defined Satellite-Terrestrial Networks. IEEE Transactions on Vehicular Technology, 1–1. doi:10.1109/tvt.2019.2907682 
- Xie, R., Tang, Q., Wang, Q., Liu, X., Yu, F. R., & Huang, T. (2020). Satellite-Terrestrial Integrated Edge Computing Networks: Architecture, Challenges, and Open Issues. IEEE Network, 1–8. doi:10.1109/mnet.011.1900369 

### III. Space Edge Cloud
https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=space%20edge%20cloud
### IV. Feasible Competitors
- Xuemin Shen, Waterloo
- Richard Yu, Carleton

# B. Information Theory with Satellite Information

- Satellite information (imagery) is  reflection of object observed by tools
- Information from carriers, such as sunlight, other waves, meet the objects. The object absorbs carriers then reflect to observer with distored information of objects, let's call it illusions

### I. Can AI help us to understand more about the reality through illusions?
- From the illusions could A.I help us understand more about the nature/the reality of an object? Could AI learn some logics from illusions?
- What happen if some objects cannot reflect like black holes?
![](https://i.imgur.com/PFi1WHy.png)




### II. Age of Information (Freshness of Informaiton)
- Timeliness of information is a critical issue in Wireless sensor Networks
- If we consider an observed area as a source nodes, then we can see that, in some scenarios, the satellite send some carriers to the observed areas, then the area reflected back to satellites. Different from WSN, source nodes generate information. In this scenario, sink node must send something to source node, source node absorb then reflect information back to sink node

![](https://i.imgur.com/vosMhPO.png)
