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Wireless Communications Lab
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The lab explores signal processing for wireless communications and wireless sensing.

AboutAbout the lab
Using radio waves to explore communication and object detection.
The Wireless Communications Lab studies multi-antenna signal processing, wireless communication schemes, and applications of wireless sensing and wireless communications.
The lab also works on technology for estimating positions at construction sites, and on object detection using propagation channel information from wireless LANs.
Signal processing for Massive MIMO systems, which use a large number of antennas, is another of its research themes.
The lab's website lists it under the name "Muta Lab."
Key terms
- Massive MIMO
- A wireless communication method that transmits and receives using a large number of antennas
- LPWAN
- A general term for wireless communication methods that reach wide areas while keeping power consumption low
- Propagation channel information
- Information that describes how a radio wave changed on its way from the transmitter to the receiver
NewsLab news
A paper by doctoral students won the Best Paper Award at WIND2026
A master's student received the Young Researcher's Encouragement Award at IEEE VTS Tokyo/Japan Chapter 2026
A master's student received the Outstanding Student Presentation Award from the IEICE Technical Committee on Communication Quality
A paper was accepted by the IEEE Open Journal of the Communications Society
A paper was accepted by IEICE Transactions on Communications
ResearchResearch themes
This lab studies multi-antenna signal processing and wireless communication schemes, as well as wireless sensing and applications of wireless communications. Its current research themes are 3D position estimation at construction sites, object detection using propagation channel information from wireless LANs, and signal processing for Massive MIMO.
*Illustrative image3D position estimation at construction sites
The lab studies technology for estimating 3D positions at construction sites using LPWAN, a low-power wireless technology that reaches wide areas.
*Illustrative imageObject detection with wireless LANs
This research uses propagation channel information from wireless LANs to detect objects with machine learning.
*Illustrative imageSignal processing for Massive MIMO
The lab studies signal processing techniques for Massive MIMO systems, which use a large number of antennas.
MembersFaculty
The members of the Wireless Communications Lab consist of faculty members and doctoral, master's, and undergraduate students.As of 2026
- ProfessorOsamu Muta
- Assistant ProfessorAhmad Hasan Elsayed Mansour Gendia
VoicesStudent voices
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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: “Wireless antenna on boat 1914-colorized” 作者不詳 / Public domain (cropped)
- 3D position estimation at construction sites: “Highway Calumpit railway station construction sites 09” FBenjr123 / CC BY-SA 4.0 (cropped)
- Object detection with wireless LANs: “Wi-fi router” Solijon Solayev / CC BY-SA 4.0 (cropped)
- Signal processing for Massive MIMO: “Mt Wilson antenna farm winter” Amble / CC BY-SA 3.0 (cropped)
- Related lab (高周波集積回路・マイクロ波通信デバイス研究室): “Microstrip Distributed Element Filter Technology” Binarysequence / CC BY-SA 3.0 (cropped)
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- Related lab (コンピュータビジョン・グラフィクス・VR 研究室): “3D Scanning Team” IT Photography / CC BY-SA 4.0 (cropped)
- Related lab (先端ネットワーク研究室): “Spider web Luc Viatour” Luc Viatour / CC BY-SA 3.0 (cropped)
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