Network planning tool based on network classification and load prediction
SE Hammami, H Afifi, M Marot… - 2016 IEEE Wireless …, 2016 - ieeexplore.ieee.org
Real Call Detail Records (CDR) are analyzed and classified based on Support Vector
Machine (SVM) algorithm. The daily classification results in three traffic classes. We use two
different algorithms, K-means and SVM to check the classification efficiency. A second
support vector regression (SVR) based algorithm is built to make an online prediction of
traffic load using the history of CDRs. Then, these algorithms will be integrated to a network
planning tool which will help cellular operators on planning optimally their access network.
Machine (SVM) algorithm. The daily classification results in three traffic classes. We use two
different algorithms, K-means and SVM to check the classification efficiency. A second
support vector regression (SVR) based algorithm is built to make an online prediction of
traffic load using the history of CDRs. Then, these algorithms will be integrated to a network
planning tool which will help cellular operators on planning optimally their access network.
Network planning tool based on network classification and load prediction
H Afifi, M Marot, V Gauthier - arXiv preprint arXiv:1602.00448, 2016 - arxiv.org
Real Call Detail Records (CDR) are analyzed and classified based on Support Vector
Machine (SVM) algorithm. The daily classification results in three traffic classes. We use two
different algorithms, K-means and SVM to check the classification efficiency. A second
support vector regression (SVR) based algorithm is built to make an online prediction of
traffic load using the history of CDRs. Then, these algorithms will be integrated to a network
planning tool which will help cellular operators on planning optimally their access network.
Machine (SVM) algorithm. The daily classification results in three traffic classes. We use two
different algorithms, K-means and SVM to check the classification efficiency. A second
support vector regression (SVR) based algorithm is built to make an online prediction of
traffic load using the history of CDRs. Then, these algorithms will be integrated to a network
planning tool which will help cellular operators on planning optimally their access network.
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