Local Network Intelligentization Algorithms
Outline
This research aims to realize highly reliable wireless communication areas for remotely controlling Cybernetic Avatars (CAs). We develop Intelligent Local Networks (ILNs) that enable CAs to operate in wide areas by coordinating multiple Smart Spot Cells (SSCs) providing fast wireless communication, wireless LANs, public wireless, etc.
To ensure the reliability and communication quality required for CA communications, we are developing algorithms to optimize various parameters of the wireless communication systems within the ILN. As various protocols are used across different layers in wireless communication systems and the radio environment is continuously changing, it is difficult to accurately formulate and optimize the communication quality dependent on them. Therefore, we are developing algorithms that model communication quality through machine learning based on various parameters of each wireless communication systems within the ILN, including the positions and states of each CA, network conditions, traffic, etc. Various information collected from SSCs and smart communication devices is stored in a database, and optimization of ILN communication parameters will be conducted through optimization algorithms utilizing the stored information. This approach enables optimization of communication quality while predicting CA movement, radio conditions, traffic flucutuations, and so on.
Through this research, we aim to maximize the performance of the ILNs and build highly reliable wireless communication ares for CA control.
