An Innovation Development of Resource Management in 5G Wireless Local Area Network (5G-Wlan) Using Machine Learning Model

In general, the various devices on the fifth generation 5G wireless local area network currently in use must have the right amount of resource applications. This means that any devices that are there will not stop working due to resource deficiency when the shutdown resource settings required for those devices to operate without any interruptions are working properly. Thus the quality of the devices in operation there and the quality of service will be high. In this paper, a machine learning algorithm is proposed to consider the applications of different types of devices in the network and to ensure that they provide the right amount of resources. With this the required amount of resource is first calculated and based on that the divine amount of resource is allocated to them. Thus the lack of resources there is completely avoided.