Intelligent Low-cost Cell Planning

In this project, in collaboration with the Linxoft team, the intern will focus on new and complex location-based intelligence search engines using advanced optimization algorithm and new software toolkit to query data in both spatial and non-spatial relational databases, perform radius-based search calculations, and plot the results onto a mapping interface such as Google Maps, Virtual Earth, or MapInfo. These search engines will locate network antenna sites and wireless hotspots within a particular geography and will be integrated seamlessly (similar to plug-in applications) with the underlying network management system that are customized for the telecommunications companies that offer wireless network services on land or vessels. The intern will be responsible for researching and utilization of best practices in problem solving such as secure data transfer over the internet, performance tuning, load balancing, and customization flexibility.

Faculty Supervisor:

Dr. Lutz Lampe

Student:

Alireza Kenarsari Anhari

Partner:

Linxoft Solutions Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of British Columbia