Literature survey on improvement of performance in wireless networks using machine learning

The paper presents a systematic survey that reviews the latest research efforts that focus on machine learning based on improving the performance of wireless networks, while processing all layers of the protocol stack: PHY, MAC and network. It provides the domain needed for data processing machine learning methods and techniques to help non mechanical learning professionals understand everything that has been discussed strategies. The review is then presented in activities using ML-based methods upgrade wireless connection settings to achieve improved network service quality and quality experience.