Submission Deadline: 31 December 2018
IEEE Access invites manuscript submissions in the area of Artificial Intelligence and Cognitive Computing for Communications and Networks.
With the rapid development of communication and network technologies, novel information services and applications are rapidly growing worldwide. Advanced communications and networks greatly enhance the user experience and have a major impact on all aspects of people’s lifestyles in terms of work, society, and the economy. Although advanced techniques have extensively improved user’s quality of experience (QoE), they are not adequate to meet the various requirements of seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability, as well as other scenarios. Therefore, it is a great challenge to develop smart communications and networks that support optimized management, dynamic configuration and feasible services.
Under the new service paradigm, artificial intelligence (AI) and cognitive computing break the boundary between two separate fields, neuroscience and computer science, and pave the way for machines to have reasoning abilities which is analogous to human. The research field of AI and cognitive computing are interdisciplinary and uses knowledge and methods from many areas such as psychology, biology, signal processing, physics, information theory, mathematics, and statistics, which are very promising approaches to deal with dynamic and large-scale topology; thus, we should explore AI-based techniques such as statistical learning, feedforward neural networks, deep recurrent neural networks, etc., for complicated decision making, network management, resource optimization and in-depth knowledge discovery in complex environments. Furthermore, communications and network ecosystems must be upgraded with new capabilities such as machine learning, data analytics, and cognitive power to provide advanced intelligence.
This Special Section in IEEE Access will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to smart communication and networks. To meet the extreme requirements of the user experience, energy efficiency and performance in a complex network environment, and novel design, configuration and optimization of network communication are needed. This Special Section will discuss how to improve the QoS of communications and networks using AI and cognitive computing.
The topics of interest include, but are not limited to:
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Associate Editor: Yin Zhang, Zhongnan University of Economics and Law, China
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IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
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