Use machine learning to achieve optimal IRS sharing
Intelligent Reflecting Surface (IRS) is known as a means to improve wireless communication networks. IRS is a device with integrated metamaterial elements. By controlling the metamaterial elements, electromagnetic waves incident on the device can be reflected in any direction. As a result, it is possible to provide an effective communication environment even in places where radio waves are difficult to reach, such as behind a shield, and to expand the area where ultra-high-speed communication can be used. However, if each carrier deploys its own IRS, problems such as landscape destruction due to an increase in communication facilities and wiring, an increase in resource and energy consumption, and redundancy of systems are expected. Therefore, there has been a need to establish a method for sharing the IRS among carriers. The present invention relates to a method for sharing the IRS among multiple carriers using a machine learning algorithm.
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The revenue generated from technology transfer is reinvested into universities and researchers as new research funding, which is used to create further research outcomes. To ensure the smooth operation of this cycle, known as the "Intellectual Creation Cycle," we will actively promote technology transfer. The types of seeds we handle include patents, know-how, databases, and programs. We have established a collaborative framework by concluding basic technology transfer agreements with the following universities (as of April 1, 2026): - Tohoku University - Hirosaki University - Iwate University - Akita University - Fukushima University - Yamagata University - Tohoku Gakuin University - Iwate Medical University - Fukushima Medical University - Aizu University - Miyagi University - Hokkaido University - Muroran Institute of Technology - Showa Medical University - Asahikawa Medical University
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