An Innovation Development Of Bandwidth Management In 4g Wireless Local Area Network (4g-Wlan) Using Smart Machine Learning Algorithm

Currently, the vast use of existing fourth generation networks is further increasing its users. A major problem with this process is the allocation of equal bandwidth to everyone on the network. This varies depending on the secondary users who are aging. But the time difference between them allows both of them to be switched to get the required bandwidth utilization. An advanced machine learning algorithm is proposed in this paper. It is designed to reduce the hassle for the primary user by calculating the login times of the primary user and the secondary user. Also the switching schedule data for the secondary user is given to improve and fix them so that they do not have immediate connection problems. And the most important thing in this system is time management for primary and secondary users. Two are even better designed to manage this effectively.