Abstract
The excessive enhance in the number of subscribers in the wireless cell network, due to which the Mobile Network Operators (MNOs) facing the immense issues in giving the high-level executives of the broadband utility.cyc Long-Term Evolution (LTE) has capable of encountering the user’s demands by giving a high level of data rate. The key performance indicators (KPIs) have been recorded and reform the network execution in request to give the high-grade utility and also to attain better resource usage. Accessibility is utilized to figure out the success ratio of the user equipment (UE) in penetrating the cell network. The accessibility is indicated as the possibility that user equipment (UE) will be apt to penetrate the cell network utility for a fixed time duration. In this paper, the ANN tool is used to find out the prediction accuracy level of the accessibility of the wireless cellular network. For this purpose, key performance indicators (KPIs) data are acquired from the real field measurement of approximately 50,000 BTS locations by the Nokia Network Pvt. Ltd., India.
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Tyagi, A., Singh, A., Gupta, S.H., Mishra, M. (2021). Predicting the Accuracy of Accessibility of LTE Network Using ANN. In: Bhateja, V., Satapathy, S.C., Travieso-González, C.M., Aradhya, V.N.M. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 1407. Springer, Singapore. https://doi.org/10.1007/978-981-16-0171-2_16
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