Machine Learning in 6G: The Future of Wireless Communication

The 6
^th
Generation of wireless communication, 6G, is the future of wireless communication technology. 6G has the potential to support various pioneering applications. Post Covid-19 pandemic, the necessity of remote data-connectivity is recognized as a socio-economic requirement. Data-centric communication has been one of the key-features in 5G and the trend is expected to continue in near future. 6G proposes to support various cutting-edge applications, including remote healthcare, holographic transportation, twin body area network, unmanned vehicle, smart infrastructures and augmented and virtual reality. These applications require a superior data-rate and infrastructure beyond the current 5G facilities. Hence, currently, both industry and academia are exploring the possible technology solutions that can support the advanced communication requirements of near future. This research work intends to provide a comprehensive summary of the Key Performance Indicators (KPI) of 6G, possible 6G network architectures, use cases and enabling technologies. Additionally, an extensive summary of the Machine Learning (ML) algorithms implemented in 6G are provided to achieve various technology goals.