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Takeshi Matsumura

2 papers indexed

arxivcs.NI2026-07-16

Formal Verification for Deep Learning-based Power Control in Massive MIMO

Thanh Le, Takeshi Matsumura, Yusheng Ji, John C. S. Lui

Deep learning is a promising approach to optimize wireless communication by simplifying the search for near-optimal solutions. Prior studies on deep learning-based wireless communication optimization have explored supervised learning approaches that map raw user information, such…

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crossrefSensors2023-10-20Cited by 2

A Machine-Learning-Based Access Point Selection Strategy for Automated Guided Vehicles in Smart Factories

Fumiko Ohori, Hirozumi Yamaguchi, Satoko Itaya, Takeshi Matsumura

Automated Guided Vehicles (AGVs) are becoming popular at many manufacturing facilities. To ensure mobility and flexibility, AGVs are often controlled by wireless communication, eliminating the constraints of physical cables. These AGVs require multiple Access Points (APs) to ensu…

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