Artificial Intelligence and Cognitive Computing for Communications and Networks

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:

  • Smart communication\network architectures and infrastructure
  • Data analytics and behavior prediction for communications\networks
  • Cognitive computing, affective computing, machine learning and other innovative approaches for smart communications\networks
  • Context-aware, emotion-aware, and other novel communication\network services based on AI and cognitive computing
  • Recommender system and personalized services based on AI and cognitive computing
  • Multi-modal information fusion, contextual data management and in-depth knowledge discovery for communications\networks
  • Intelligent and interactive communication\network services and applications
  • AI-based testbed, performance evaluation for communications\networks
  • AI-based security and privacy protection for communications\networks

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.


Associate Editor: Yin Zhang, Zhongnan University of Economics and Law, China

Guest Editors:

  1. Giancarlo Fortino, University of Calabria, Italy
  2. Limei Peng, Kyungpook National University, South Korea
  3. Iztok Humar, University of Ljubljana, Slovenia
  4. Jianshan Sun, Hefei University of Technology, China


Relevant IEEE Access Special Sections:

  1. Social Computing Applications for Smart Cities
  2. Human-Centered Smart Systems and Technologies
  3. Big Data Analytics in Internet-of-Things and Cyber-Physical System

IEEE Access Editor-in-Chief:
Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: