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ComSoc Technology News (CTN) is a free, online monthly publication that publishes interesting, timely, and newsworthy articles that span a wide range of topics related to the communications technology industry.

Statements and opinions given in a work published by the IEEE or the IEEE Communications Society are the expressions of the author(s). Responsibility for the content of published articles rests upon the authors(s), not IEEE nor the IEEE Communications Society.

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Best Readings in Network Localization and Navigation

This Best Readings covers different aspects of NLN, including fundamental theory, cooperative algorithms, operation strategies, and network experimentation. Fundamental theory provides performance benchmarks and tools for network design. Cooperative algorithms provide a way to achieve drastic performance improvements with respect to traditional non-cooperative positioning. To harness these benefits, system designers must develop efficient operation strategies. Furthermore, network experimentation is essential to compare different cooperative algorithms under common settings. The selected articles aim to provide researchers and practitioners with a comprehensive view on all the aforementioned aspects that are essential for the design and operation of efficient NLN.

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Advanced Networking Technologies in the Battle Against the Outbreak of Epidemic Diseases

This special issue aims to explore recent advances and disseminate state-of-the-art research on advanced networking technologies for epidemic monitoring, virus tracking, prevention, control and treatment, and resource allocation.

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Artificial Intelligence / Machine Learning Enabled Reconfigurable Wireless Networks

The Special issue will give emphasis on novel techniques for building reconfigurable wireless networks and coupling the technological advances in wireless networking with scientific innovations in AI and ML. This SI seeks contributions from experts in areas such as network programming, formal methods, control theory, distributed systems, machine learning, data science, data structures and algorithms, and optimization in the view of reconfigurable wireless networks as well as improving the performance of AI and ML solutions.

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