Machine Learning in the Air

By Deniz Gündüz, Paul de Kerret, N. Sidiropoulos, David Gesbert, Chandra Ramabhadra Murthy, Mihaela van der Schaar. 2019

209 citations recorded by the source corpus.

Thanks to the recent advances in processing speed, data acquisition and storage, machine learning (ML) is penetrating every facet of our lives, and transforming research in many areas in a fundamental manner. Wireless communications is another success story – ubiquitous in our lives, from handheld devices to wearables, smart homes, and automobiles. While recent years have seen a flurry of research activity in exploiting ML tools for various wireless communication problems, the impact of these techniques in practical communication systems and standards is yet to be seen. In this paper, we review some of the major promises and challenges of ML in wireless communication systems, focusing mainly on the physical layer. We present some of the most striking recent accomplishments that ML techniques have achieved with respect to classical approaches, and point to promising research directions where ML is likely to make the biggest impact in the near future. We also highlight the complementary problem of designing physical layer techniques to enable distributed ML at the wireless network edge, which further emphasizes the need to understand and connect ML with fundamental concepts in wireless communications.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

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Citations in the corpus

Deep Learning for Distributed Optimization: Applications to Wireless Resource Management (2019, methodology): “individual transmitters equipped with their own DNN for the distributed computation in [9], [10], [21], [22].”
Holistic Network Virtualization and Pervasive Network Intelligence for 6G (2023, background): “In academia, networking for AI calls for extensive interdisciplinary research efforts between networking researchers and AI researchers to develop new communication standards and technologies to cater for AI services at scale [141], [180]–[182].”
A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence (2020, background): “Recently, artiﬁcial intelligence (AI) has been considered as another key enabling technology for 5G-and-beyond wireless networks integrated with UAVs [51], [52].”