Special Issue on Advances and Applications of Artificial Intelligence and Machine Learning for Wireless Communications

H. Birkan Yilmaz, Chan-Byoung Chae, Yansha Deng, Tim O’Shea, Linglong Dai, Namyoon Lee, and Jakob Hoydis

108 173.173-176

10.1109/JCN.2020.100015

Abstract :With recent advances, Artificial Intelligence (AI) and Machine Learning (ML) approaches have emerged to show great promise in the field of wireless communications. Although some researchers are skeptical due to issues concerning complexity and reliability, benefits include the near-optimal performance or the improvement over current state-of-the-art techniques. Luckily, the big data technology delivers an excellent advantage for studying the essential characteristics of wireless networks that can be integrated with AI and ML approaches. Moreover, the recent advances in deep learning, convolutional neural networks, and reinforcement learning hold significant promise. Indeed, they offer new design approaches for solving some challenging problems that, until recently, were considered intractable This special issue received 18 submitted manuscripts, out of which 10 papers have been accepted for publication. The editors would like to thank the authors of all papers for their submissions and special thanks go to the reviewers for their help in allowing us to complete the reviews and decisions in a timely fashion. The papers in this special issue will report research in Advances and Applications of Artificial Intelligence and Machine Learning for Wireless Communications with the following two aspects: Enhancing Communication Performance; Security, Privacy, and Anomaly Detection  

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