HOME > Research > Traffic/network design/management > Principal research results

Traffic/network design/management

[Research results]

Research result 1

Service demand structure analysis method

The service demand structure analysis method is a scenario assessment technique that estimates the demand for communication services based on a combination of micro and macro viewpoints.

The service preferences of customers as obtained from market research and market trends are analyzed on a micro-scale to construct a behavioral model of the customers' selection and use of services. We model the preferences of customers to services by incorporating diverse factors including the customers' recognition of services, differences in their preferences based on latent factors, the classification of explicit and latent user classes, regional information, brand loyalty, and the selection of composite services based on multiple services. (See Fig. 1: Modeling the service selection behavior of users.)

Meanwhile, the macro-scale behavior of services is robustly estimated based on the inflection points of demand curves and on the service switching behavior of users. (See Fig. 2: Robust macro-model configuration method.)

For the macro demand obtained in this way, we produce a variety of virtual future scenarios to accommodate the emergence of new services, changes in customer preferences and the like, and we use these scenarios to estimate future demand and perform risk management. This technology uses the results of demand estimation based on these scenarios to support the analysis and assessment of business strategies. (See Fig. 3: Scenario simulation and assessment.)

Fig. 1: Service demand structure analysis method

Fig. 1: Service demand structure analysis method

Click on image for larger version.

Research result 2

Reliable path network design method

The reliable path network design method is a technology of choosing path routes. The choice of path routes is key issue for economically constructing fault-tolerant networks that are robust against large-scale network failures.

We choose the economical path routes using a mathematical technique, while considering the various network conditions (i.e., the placement of network equipments and the traffic demands and limitations on equipment configuration) and the design policy (i.e., the number of paths required for each demand and constraints on the path route choice and measure for evaluation).We study the way of formulating the path route choice as mathematical models and the appropriate algorithms for solving the models. Also, we evaluate the design results that are acquired by applying the technique.

Fig. 2: Reliable path network design method

Fig. 2: Reliable path network design method

Click on image for larger version.