DENSITY DETERMINATION IN MOBILE NETWORK USING CLUSTERING CLASSIFICATION

The quality service in the mobile network is achievable via expanding or sharing the existing mobile infrastructure. The expandability or share ability of the mobile network is to be determined through some valuable measures based on its utilization on cluster basis. Here the cluster denotes a specific region of the single base station of mobile network and based on the analysis and the adoptable optimal solution density level is to be calculated. The observed results are represented and critically evaluated, to achieve effective and quality service to the mobile users via, sharing or expanding the mobile infrastructure which includes the future enhancement and the limitations. This research is initiated to determine the share ability and expansion of Mobile network infrastructure according to the usage of the mobile users in a region. In the current system this decision is considered based on the geographical analysis method instead of utilization method. This research work is initiative to adopt the policy changes to share the infrastructure in mobile network .The mobile network service providers can expand their infrastructure to provide effective services for various mobile service providers in India to provide mobile service. Every service provider have invested huge amount to create infrastructures from their earnings. Therefore the service cost is more to the mobile users. To reduce the mobile service cost and to provide the quality mobile service to the users, the Government of India has initiated infrastructure sharing policy in the mobile network. To determine the expandability or creation of infrastructure facilities is based on geographical and utilization services. Hypothesis provides the reachable target and its expected impact. The proposed research methodology is the guide line to carry over the research and determine the decision making tool for mobile network expandability or share ability. Infrastructures can be expanded or shared to the efficiency of mobile network services. A tool is required to take decision on expansion or creation of new infrastructure integration of geographical location and mobile service utilization. A. Objectives The research is initiated with the following objectives. a. Find out the number of users utilizing the specified network for their mobile services. b. Determine the density level of the users in a selected cluster. c. To determine mobile network utilization services and its efficiency for access ability and share ability using clustering and K- neighborhood concept d. Evaluate the density level according to mobile number specification to suggest a decision support tool for expandability or share ability.

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