Artificial Intelligence/Machine Learning in Wireless Communications and Networking

Dear Colleagues,

Breakthroughs in artificial intelligence (AI) and machine learning (ML), including deep neural networks and the availability of powerful computing platforms, have recently received much attention as a key enabler for future 5G and beyond wireless networks. The recent win of AlphaGo over the world champion Mr. Lee Sedol has demonstrated the power of AI/ML beyond what many of us can imagine. AI/ML has become one of the key technologies to realize intelligent mobile networks, intelligent services, and an intelligent Internet of Things (IoT). It can be found that AI/ML could provide many new opportunities in the way we manage and optimize wireless communications and networks, and the way we manage different user services and user content.

However, the evolution toward learning-based networks and communications is still in its early days, and much of the realization of the promised benefits requires thorough research and development. Fundamental questions such as where and how AI/ML can really complement the well-established, well-tested wireless communication systems still remain. Additionally, adaptation of AI/ML-based methods is likely needed to realize their full potential in the wireless context and networks. Moreover, research on security problems, hardware aspects, and network edge in wireless communications and networking is also necessary to establish quality-of-service guarantees that are common in communication system design.

The topics of interest include but are not limited to:

• Advanced AI/ML algorithms for wireless networks;
• AI/ML-based mobile networks design;
• AI/ML-based energy efficient communication/networking techniques;
• AI/ML-based sensor networks and IoT applications;
• AI/ML-based network resource allocation and optimization;
• AI/ML-based secure communications and networking;
• AI/ML-based computing on network edge;
• Service performance optimization in wireless networks;
• Security, privacy, and trust in wireless networks;
• The design of AI-enabled hardware aspects of wireless networks;
• Distributed and decentralized signal processing via AI/ML algorithms.

Prof. Dr. Lianyong Qi
Dr. Dharavath Ramesh
Dr. Osamah Ibrahim
Guest Editors

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• artificial intelligence
• machine learning
• security
• privacy
• trust
• wireless networks