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      Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G

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          Abstract

          Mobile Network Operators (MNOs) are in process of overlaying their conventional macro cellular networks with shorter range cells such as outdoor pico cells. The resultant increase in network complexity creates substantial overhead in terms of operating expenses, time, and labor for their planning and management. Artificial intelligence (AI) offers the potential for MNOs to operate their networks in a more organic and cost-efficient manner. We argue that deploying AI in 5G and Beyond will require surmounting significant technical barriers in terms of robustness, performance, and complexity. We outline future research directions, identify top 5 challenges, and present a possible roadmap to realize the vision of AI-enabled cellular networks for Beyond-5G and 6G.

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          An Introduction to Deep Learning for the Physical Layer

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              Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM

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                Author and article information

                Journal
                17 July 2019
                Article
                1907.07862

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                Custom metadata
                7 pages, 3 figures, 1 table
                cs.IT eess.SP math.IT

                Numerical methods, Information systems & theory, Electrical engineering

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