• Anamika Patil

Conventional network optimization technology in-actively change the network configurations in light of network0 s congestion proportion, decreases rate, protection holes and so on, main to sub-ultimate user studies. As a result, the target is getting the proper network position, customer requires and utility application sharing in light of the real time data to optimize the network configurations. The data mining method is acquainted with expect the useful resource limit construct absolutely in light of totally of historic dimension facts. In the direction of discover the dynamic conveyance of person require and utility request, a weighted k-Nearest Neighbours (k-NN) replica is used to calculate intermittent features of network traffics, denote temporal and spatial patterns of radio resource limits. Not like the conventional inactive network optimization methods, the radio assets can be reconfigured dynamically to satisfy the active pattern of traffic loads with the help of the usage of the proposed radio resource optimization using k-NN algorithm.

"Radio Resource Optimization Using k-NN Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.671-674, July-2018, Available :http://www.jetir.org/papers/JETIR1807698.pdf

"Radio Resource Optimization Using k-NN Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp671-674, July-2018, Available at : http://www.jetir.org/papers/JETIR1807698.pdf