A Framework for Energy-Optimal Cloud Robotic System under MIMO Wireless Channel

The advances of cloud computing and robot enable the cloud robotics become a newly emerging research hotspot of intelligent automobile robot. Lots of technical challenges of cloud robotics remain to be worked out. For example, the computation challenges, the communication challenges, and the security challenges. In this paper we intend to design an optimal execution framework for the cloud robotics under MIMO (multiple-input multiple-output) wireless channel model, which aims to minimize the energy consumption of the robot and extend the battery lifetime. The model of the energy consumption for cloud execution is derived, and the problem of optimization is analyzed during the process. Additionally, a model and optimization of the standalone execution by robot are proposed. Based on the models, we provide a theoretical framework, which decide whether to offloading task. Finally, the numerical results illustrate that the framework is significant for minimizing the energy consumption of robot.