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Wireless Systems Engineering Lab
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A lab that researches signal processing to separate the wireless signals of many users with a small amount of computation.
AboutAbout the lab
Separating multidimensional signals with little computation.
The Wireless Systems Engineering Lab studies technologies for processing wireless communication signals, such as massive MIMO, which uses a large number of antennas.
To separate the information of many users simultaneously at a receiver, conventional signal processing has the problem that the amount of computation becomes too large.
Focusing on the fact that high performance can be achieved while reducing the amount of processing when the number of dimensions is very large, the lab studies methods based on insights from statistical mechanics.
On the lab's website, the lab is presented under the name "Ochiai Lab."
Key terms
- Massive MIMO
- A technology that uses many antennas at the transmitter and receiver to spatially multiplex information and send large amounts of it. A core technology of 5G
- Belief propagation
- A family of algorithms that make estimates by exchanging probabilistic information. Based on insights from statistical mechanics
- System-level simulation
- A simulation that imitates an entire actual wireless communication system
NewsLab news
A paper by a master's student was accepted to IEEE Transactions on Wireless Communications
A paper by a master's student was accepted to IEEE GLOBECOM 2026
A master's student received the Excellent Presentation Award at the "First Research Meeting" of the Technical Committee on Wireless Communication Systems
Papers by doctoral and master's students were accepted to IEEE SPAWC 2026
A doctoral student received the Telecommunications Advancement Foundation Award (Telecom System Technology Student Award)
ResearchResearch themes
To create more efficient multidimensional signal processing, the lab studies signal detection in wireless communications. It approaches the topic from three directions: methods based on statistical mechanics, integration with machine learning, and simulations close to real communication systems.
*Illustrative imageSignal detection for massive MIMO
The lab works on the simultaneous separation of the signals of many users, which requires too much processing with conventional signal processing. Taking advantage of the fact that, when the number of dimensions is very large, high performance can be achieved while greatly reducing the amount of processing, it applies belief propagation based on statistical mechanics.
Integration with machine learning
Unlike the ideal large-scale models, real wireless environments have only tens to around a hundred antennas and also involve errors such as quantization error. Regarding advances in deep learning as a clue to bridging this gap, the lab works on integrating statistical signal processing with machine learning.
*Illustrative imagePerformance evaluation of the whole system
Link-level simulations, which examine the performance of signal detectors, assume idealized wireless environment conditions. The lab therefore builds system-level simulations that imitate actual wireless communication systems, aiming to propose design guidelines that make use of the strengths of statistical signal processing.
MembersFaculty
The members of the Ochiai Lab consist of faculty, administrative assistants, postdoctoral researchers, students in the doctoral program, master's program, and undergraduate program, and research students.As of 2026
- ProfessorHideki Ochiai
- Associate ProfessorTakumi Takahashi
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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 communication tower” Yvesmayrand / CC BY-SA 3.0 (cropped)
- Signal detection for massive MIMO: “base station in Munich, 2014” High Contrast / CC BY 3.0 de (cropped)
- Performance evaluation of the whole system: “Cellular network antenna mount Haringey London” Acabashi / CC BY-SA 4.0 (cropped)
- Related lab (Integrated Information Design Lab): “CW-01 National Semiconductor Scientific Calculator Watch CMOS-LSI circuit dies” Mister rf / CC BY-SA 4.0 (cropped)
- Related lab (Intelligent Networking Lab [Graduate School of Information Science and Technology]): “Virtual-Reality-1990s-Virtuality-1000CS” ctrl-alt-rees YouTube Channel (used with permission) / CC BY-SA 4.0 (cropped)
- Related lab (Media Integrated Communication Engineering Lab): “ShakeAlert Sensor Site” Paul Laustsen Public Affairs - Western States Communications and Publishing / Public domain (cropped)
- Related lab (Quantum Photonics Lab): “Scientist measures the optical limiting performance of a nonlinear material - ALC” Adelphi Lab Center Douglas G. LaFon / CC BY 2.0 (cropped)
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