Customer
Developing Wireless Solutions With IMSL
This cellular network provider produces software to ensure that they get the best coverage from the antennae for their cellular network. They are dependent on the IMSL C Numerical Libraries and use the linear solvers for testing the installations, statistical analysis for test and measurement, numerical integration for propagation planning and cell calculation and regression routines for call planning.
Save Money While Providing the Best Service to Customers
The development group at this cellular network provider is producing software for use by the company's team of 70 network planners. This group works to ensure that the company gets the best coverage from their antennae, which saves the company money while providing the best service to their customers.
In practice, these network planners will choose the area to be covered by the transmitter by calculating a typical radius of transmission and will use an off-the-shelf radio propagation package to select possible sites for the antenna. They will then use the software developed by the team to predict the area actually covered, choose frequencies to be used, and predict the call traffic for the site.
Speed Up Application Development
The Software Development Team, which programs in C and C++, relies on the IMSL C Mathematics and Statistics Libraries, together with the IMSL ObjectSuite Math Module for C++ to speed their application development.
The network-planning software developed by the team currently covers "frequency assignment" and "cell calculation". The textbook examples all use hexagonal cells, but these are too simplistic for practical application; therefore, the group must produce cells of arbitrary size taking into account the topology of the land and the type of ground coverage (such as buildings and forests).
The company uses the IMSL linear solvers for testing the installations, statistical analysis for test and measurement, numerical integration for propagation planning and cell calculation and regression routines for call planning.
Return On Investment
The algorithms in the IMSL libraries were chosen because of the time saved by using predeveloped numerical libraries compared with the labor-intensive and costly process of developing and testing home-grown routines, thereby allowing the developers to concentrate on the actual modeling of the problem rather than the coding of the algorithms.
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