  This paper looks at various aspects of Machine Learning (ML) applications in
wireless communication technologies, focusing mainly on fifth-generation (5G)
and millimeter wave (mmWave) technologies. This paper includes the summaries of
3 papers on machine learning applications in wireless communication technology.
The paper deals with the need for integration of machine learning in wireless
communication, types of machine learning techniques used in wireless
communication, advantages and potential of ML in wireless communication, and
implementation parameters of ML in wireless communication, as well as a study
on RSS-Based Classification of usage in indoor millimeter-wave wireless
networks.
