Wireless communication system with the help of modern technology like artificial intelligence, machine learning and IOT plays a very vital role in today’s world for entertainment, business, commercial, health and safety applications. These systems keep on evolving from one generation to next generation with no time and currently we are heading towards the deployment of fifth generation (5G) wireless systems around the world. One of the main and key components of 5G systems will be the use of Artificial Intelligence (AI) and Machine Learning (ML) for such wireless networks. Every component and building block of a future generation wireless system that we currently are familiar with from our knowledge of wireless technologies up to 5G, such as physical, network and application layers, will involve one or another AI/ML techniques. This overview paper, presents an up-to-date review of future wireless system concepts such as 5G and role of AI/ML techniques in these future wireless systems. In particular, we present a conceptual model for 5G and show the use and role of ML techniques there. Basically ML techniques such as supervised and un-supervised learning, Reinforcement Learning (RL), are studied in reference to massive MIMO in the context of wireless communication systems.

AI, ML, mMIMO, Throughput, SNR