Estimating data traffic through software-defined multiple access for IoT applications over 5G networks

Wireless Connections and volume of the traffic are increasing with different applications over 5G environments. Thus, many researchers have estimated the increasing range of user's requirements within these networks. However, the traffic management will play a very important role in satisfying the user's needs in future wireless communications. In this research, the massive data traffic will be studied for enabling the best of IoT applications over a 5G network. Thus, the multiple accessing schemas are presented for managing the overall network traffic. Furthermore, the primary aim of this research is to provide an efficient estimation technique for managing traffic when multiple access is capable of handling variable delays and data priorities associated with the large volume of the traffic considered in the 5G networks. Thus, it can be modified to IoT applications within future IoT based 5G networks. Moreover, this research will be leading us to implement an estimated traffic solution for IoT applications over 5G networks. Thus, it comprehensively focuses on the traffic issues within large applications from the accessing steps till assuring the service delivery.