Features

• Performs pinpoint local analysis, such as knowing the indoor radio wave condition, and judgment of necessity of indoor solution.
• Gives the most optimized solution on the basis of per-area consolidation, and speeds up the estimation of the cost. Enables rapid financial investment decision-making and business deployment at lower cost.
• Has a high degree of parameter settings flexibility for customer's demand, and easily customizable interface.
• Allows you to visualize the data by outputting it to another product "Agoop Library".

Product Summary

RF Cost Simulator is the system that, based on the region analysis, works out the most effective measures against the base station construction within a weak-signal area with consideration for cost-effectiveness. It allows you to use GIS to easily calculate the assumed number of users, the way to improve area status, and the total cost, based on the basic data, such as population statistics data, geographic data, building data, base station data, and customer data. It can also perform analysis appropriate for all sort of usage scenes, in which you can improve the global area and also areas that have specific conditions.

Functions

Creating basic data （original data）

• Loading statistical information, result of RF Simulation and information on the base station.
• Generating the basic area attribute information used for analysis. （population statistics data, building data etc.)

Correcting the RF Simulation data offset

• Per-building correction of simulation data offset (RSCP value)
  ⇒This sort of correction cannot be done by tools that calculate the communication characteristic in mesh unit. It is only possible by knowing the local communication characteristic within a mesh.

Finding the precise location

• Finding the precise latitude and longitude of a certain spot. （ex, Customer’s request, Landmark）
• Selecting the required area attribute information and giving it to the identified spot.

Analyzing radio wave condition per building

• Grasping the signal strength at a certain spot with consideration for the indoor situation.
• Identifying the cause of the current wave condition, by considering building factor, regional factor, and the position relation from the base station.

Picking out the error areas and calculating the number of users

• Picking out the error areas and calculating the number of users, based on the wave condition per building.

Selecting the best solution and calculating the cost of it.

• Selecting the best solution for the error area and building, and estimating the cost it, considering the cause of error and the scope of target area.
• Enabling you to make overall financial and managerial investment decisions, such as priority judgment based on factors like improving the number of satisfied customers.