Moving toward an intelligent edge: Machine Learning and Wireless Communication

Patil P.P.; Perez-Mendoza A.; Joshi K.; Shah H.; Pillai B.G.; Kalyan Chakravarthi M. · 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023 (2023) · DOI: 10.1109/icacite57410.2023.10182477

Resumen

In order to improve performance, efficiency, and yield, the intelligent wireless system concentrates on collaborating with cutting-edge techniques such as machine learning (ML) and similar methodologies. The research includes evaluating precisely the important factors that ML methodologies use to assist more intelligent network communication in many sectors. For the research, the researchers tried to collect both primary and secondary data. In order to have greater input and perspectives into the research field, the participants are recruited from the business. The main aspects taken into consideration for the research are spectrum availability and control, important congestion point detection, ML-influenced hotspot management, and control of hotspots. According to the research, which was conducted using the SPSS data analysis tool, it can be concluded that all of the variables have a significant impact on intelligent communication. As a result, ML contributes significantly to improving the user experience.