Wireless-link-quality Prediction and Device-position Estimation Based on Relationship between Wireless-communication-link and Physical-space Information

Abstract

Background and overviewAdvanced wireless-communication systems, such as Wi-Fi, Long-Term Evolution (LTE), and the 5thgeneration mobile communication system (5G), enable a wide variety of devices to connect to a network; thus, the number of connected devices and their traffic are exploding. The large number of connected devices will be a foundation of Society 5.0 [1], where a huge amount of physical-space information is accumulated in cyberspace. Physical-space information will be analyzed through artificial intelligence (AI), and the process is expected to bring new value to industry and society in ways not previously possi-ble. Innovative Optical and Wireless Network (IOWN) [2] will accelerate the creation of big data of physical-space information and make them accessible from everywhere.The advancement of AI technologies will also accelerate the use of physical-space information in the IOWN/6G era [3]. The accuracy of vision-based recognition using deep learning has been improving yearly [4], and the autonomous operation of robots and vehicles have also significantly advanced [5]. By using advanced AI technologies, physical-space information is expected to provide new value for wireless-communication systems.Wireless communications is also being enhanced