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Robust Network Engineering Lab
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The lab uses mathematical models to study congestion and control in communication networks.
AboutAbout the lab
Controlling and designing flexible, robust networks.
The Robust Network Engineering Lab (Takine Lab) aims to establish control and design methods for flexible, robust communication networks that can smoothly accommodate a wide variety of network applications.
Based on communication traffic theory, the lab conducts research for network control and design, including traffic modeling, performance evaluation of various types of traffic, and congestion control.
It belongs to the Information and Communications Engineering Division of the Department of Electrical, Electronic and Infocommunications Engineering, Graduate School of Engineering, Osaka University.
The lab's history dates back to the Fifth Chair of Communication Engineering, established in 1969.
Key terms
- Communication Traffic Theory
- A theory that examines the relationship between the properties of communication traffic and congestion using probabilistic models. Also called queueing theory.
- Congestion
- A phenomenon in which users concentrate on resources such as lines and routers, making the network congested.
- Network Coding
- An information transmission method in which a relay combines several different pieces of information through operations before forwarding them.
ResearchResearch themes
In communication networks, many users compete for resources such as lines and routers, which causes congestion. The lab represents traffic volume with mathematical models and studies techniques for evaluating congestion and for network control and design.
*Illustrative imageCommunication Traffic Theory
The lab examines the relationship between the properties of communication traffic and congestion using probabilistic models, and evaluates it quantitatively. It has conducted a great deal of research on modeling strongly correlated information flows and on methods for analyzing them.
*Illustrative imageTraffic Measurement and Analysis
To understand how operating communication networks behave, the lab uses probability and statistics to develop measurement techniques suited to specific purposes, as well as techniques for inferring congestion inside the network from measurements taken at its edges.
*Illustrative imageNetwork Coding
A technique in which a relay performs operations on several different pieces of information (encoding) and combines them before forwarding. The lab researches and develops new network control techniques and network services that use this technology.
*Illustrative imageFault-Tolerant Wireless Networks
The lab studies techniques for building robust networks that are resilient to the various failures that occur in wireless networks. Its targets include the problem of unfair resource allocation in wireless LANs and information transfer in environments where terminals are sparse.
MembersFaculty
The Robust Network Engineering Lab's members consist of faculty, secretaries, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorTetsuya Takine
- Associate ProfessorYoshiaki Inoue
- Associate Professor (Concurrent)Tsuyoshi Okuda
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: “Raspberry Pi 4 on a network switch” RAIL P (RAIL.PHOTOGRAPHY) / CC0 (cropped)
- Communication Traffic Theory: “Airports Network Map” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Traffic Measurement and Analysis: “Azaleos NOC” Azaleos / CC BY-SA 3.0 (cropped)
- Network Coding: “Cable and Wireless Mast and Dishes - geograph.org.uk - 125612” Dominic Dawn Harry and Jacob Paterson / CC BY-SA 2.0 (cropped)
- Fault-Tolerant Wireless Networks: “Metro Wireless Node” Robo56 / CC BY-SA 3.0 (cropped)
- Related lab (Intelligent Systems Lab): “Ocado warehouse bots” Techwords / CC BY-SA 4.0 (cropped)
- Related lab (Big Data Engineering Lab): “Programming Languages Influence Network Graph freebase yaph” yaph / CC BY-SA 2.0 (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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