IEEE Project Abstract

The development of satellite networks, there is an emerging trend to integrate satellite networks with terrestrial networks, called satellite-terrestrial networks (STNs). The improvements of STNs need innovative information and communication technologies (ICTs), such as networking, caching, and computing.In this paper, we propose a software-defined STN to manage and orchestrate networking, caching, and computing resources jointly.We formulate the joint resources allocation problem as a joint optimization problem, and use a deep Q-learning approach to solve it. Simulation results show the effectiveness of our proposed scheme .the development of satellite networks, there is ane merging trend to integrate satellite networks with terrestrial networks, called satellite-terrestrial networks (STNs). The improvements of STNs need innovative information and communication technologies (ICTs), such as networking, caching, and computing.In this paper, we propose a software-defined STN to manage and orchestrate networking, caching, and computing resources jointly.We formulate the joint resources allocation problem as a joint optimization problem, and use a deep Q-learning approach to solve it. Simulation results show the effectiveness of our proposed scheme.