Abstract

The 6G wireless communication network has shown its tremendous advantages in digital transformation of societies. 6G enables reliable, pervasive, and near instant wireless connectivity by integrating aerial, maritime, and terrestrial communications. The development of cutting-edge technologies like machine learning, blockchain, millimeter wave communication, non-orthogonal multiple access, tera-Hertz communication, quantum communication/quantum machine learning, fog/edge computing, and tactile Internet encourages the demand of beyond 5G and 6G communication. An effective wireless communication system must be capable of satisfying the user requirements such as increase in capacity, efficiency flexibility, coverage, and quality of experience. As the number of users and coverage area increases, the complexity of designing a 6G network is also getting increased. In recent years several research works are applying ML to wireless communication. This chapter discusses about the application of ML in the area of massive MIMO, NOMA,OWC, polar codes, and security of wireless communication.

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