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Kaneko Lab
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The lab researches next-generation wireless communication that uses radio waves and power without waste.
AboutAbout the lab
Toward energy-efficient, smart next-generation wireless communication
The Kaneko Lab studies technologies for next-generation wireless communication networks.
Data volumes from IoT devices are expected to grow sharply, yet the radio frequencies available for use have already reached their limit.
The lab aims to build wireless communication systems that use frequency and power without waste and reduce power consumption as much as possible.
Group discussions are held in English, and there are opportunities for joint research with universities, research institutions, and companies overseas.
Key terms
- IoT
- The Internet of Things. A mechanism by which various things, such as home appliances and sensors, connect to networks.
- Beamforming
- A technology that uses multiple antennas to concentrate radio waves and transmit them in a specific direction.
- Reinforcement learning
- A machine learning method in which a computer learns how to choose better actions based on "rewards" that reflect the results of trial and error.
NewsLab news
Paper by Prof. Kaneko and colleagues published in IEEE Transactions on Communications
Paper by Prof. Kaneko and colleagues published in IEEE Transactions on Vehicular Technology
Paper by Prof. Kaneko and colleagues published in IEEE Open Journal of Vehicular Technology
Prof. Kaneko received the 22nd Japan Society for the Promotion of Science (JSPS) Prize
Prof. Kaneko holds a concurrent appointment as Professor in the Department of Computer Science, the University of Tokyo
ResearchResearch themes
Next-generation wireless communication (such as Beyond 5G and 6G) will cover not only terrestrial mobile networks but also the sky, space, and the sea. A major challenge is to achieve high speed, low latency, and massive connectivity simultaneously while keeping power consumption low. The lab works jointly with overseas research institutions and companies on wireless communication technologies that improve the efficiency of frequency and energy use.
*Illustrative imageEnergy-efficient wireless connectivity for large numbers of IoT devices
To prepare for ever-growing IoT data, the lab develops wireless connection methods for IoT devices that achieve both high performance and low power consumption, even in environments with severe radio interference.
*Illustrative imageNetwork design with emerging wireless technologies
Using reconfigurable intelligent surfaces (RIS), which reflect radio waves and redirect them, and terahertz-band radio waves, the lab optimizes user selection and beamforming.
*Illustrative imageWireless communication using AI and machine learning
Using risk-averse reinforcement learning and deep reinforcement learning, the lab establishes distributed wireless communication methods that can adapt to complex, constantly changing mobile environments.
MembersFaculty
The members of the Kaneko Lab consist of faculty, researchers, master's and doctoral students, and research students.As of 2025
- ProfessorMegumi Kaneko
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Cell tower antenna, Zagrebačka cesta” Mnalis / CC BY-SA 4.0 (cropped)
- Energy-efficient wireless connectivity for large numbers of IoT devices: “- LoRaWAN-Node vor dem FMT Bungsberg” Fabian Horst / CC BY-SA 4.0 (cropped)
- Network design with emerging wireless technologies: “5G Small Cell Antennas on Pittsburgh Rooftop ( )” Tony Webster from Minneapolis, Minnesota, United States / CC BY 2.0 (cropped)
- Wireless communication using AI and machine learning: “Cell Tower in Stykkishólmur” Kevin Kandlbinder / CC BY 4.0 (cropped)
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