5G Network needs estimation & Deployment Plan Using Geospatial Analysis for efficient data usage, Revenue Generation
DOI:
https://doi.org/10.22399/ijcesen.692Keywords:
Satellite Image processing, Kernel Density Estimator, Supervised Classification, Erdas Imagine & ArcGISAbstract
Telecom companies can generate more profit by increasing the number of users using 5G mobile internet services. This internet service is widely used by telecom companies by identifying the areas where there is a high number of users. By providing 5G services in the right places first, the existing users can be utilized more and the telecom companies can get more profit. Most telecom companies are initially launching their service in cities and towns but not finding out where the high volume of user demand is located. This research is designed to find out where the most users are, Satellite image processing can be used to identify where there is a high population density. A map generated using supervised classification technology can be easily and accurately identified. Also, the Kernel Density Method can be used to identify where there is a large number of users based on other factors (Educational institutions, companies, etc). When comparing these two technologies, it is necessary to find out where there is a large number of users and provide service there first so that the quality of the service and the needs can be easily met. Separate Algorithm implemented by using Erdas Imagine & ArcGIS Software.
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