Function approaches of QOE-driven detection in automated wireless networks.

Wireless network technology has experienced tremendous growth over the past few decades, ranging from the support of circuit-switched voice and messages services to the use of high-speed mobile broadband (HSPA), worldwide microwave access interoperability and the radio network Lang-Term Evolution (LTE).Mobile apps and services are increasingly used to support communication needs in day-to-day activities.Without restriction of time, location, future technologies, device and mobility restrictions, smartphone users require access to the wide range of diverse media processes. Quality of service (qos prototype with data science in the heterogeneous network of the ns-3 Simulation Software, for predicting client QoE.In the future, hyper and green cellular networks, both organising themselves as well as self-healing, this strategy can be crucial. Process flow starts create a network, Run FTP, Dataset, Use Parametric QoE model to generate QoE score for the dataset, Implement Procedures, Metrics Analysis, and Model. The configuration parameters for the simulation analysis have been percentage of participants, eNodeBs amount, eNodeB broadband, Convey workable eNB power, transmit disorganis edeNB control and number of sensor nodes. The simulation of wireless network configuration provides respective values for its respective parameters. [ABSTRACT FROM AUTHOR]