Local Network Intelligentization Algorithms
Outline
This research aims to realize techniques to expand the area of highly reliable wireless networks that can be used to control the cybernetic avatars (CAs) remotely. An intelligent local network(ILN) to enable broad CA active areas will be realized by combining multiple smart spot cells (SSCs) that provide reliable wireless networks for CA remote control. We develop algorithms to maximize the performance of the combined multiple SSCs for realizing optimized ILN. By optimizing various parameters of multiple networks, a highly reliable and wide coverage ILN will be realized. Handover between the SSCs and network selections, including Wi-Fi and other public networks, will also be considered. According to the number of CAs, locations of CAs, density, and network conditions, the parameters of ILN will be adaptively optimized. Based on the information, such as the communication quality, environment, and location, collected from the SSCs and terminals, optimal parameters for the ILN will be selected by our developed algorithms. This study maximizes utilization of the ILN composed of the SSCs and other wireless networks and makes CAs' active area highly reliable and wide.
