Call for Papers

Cognitive Radio has been researched for more than ten years since 1999. The intelligence introduced in cognitive radio pays primary attention on solving spectrum access problems. The rising of the fifth generation (5G) communication system extends radio services to various vertical industries, which renders more complexity and thus challenges to wireless communications. The recent advances in artificial intelligence (AI), including machine learning, data mining, and big data analytic hold significant promise for addressing many complex problems in wireless networks. By extending the intelligence from spectrum access, to network management and service orchestration, Cognitive Radio is on the way to evolve to Intelligent Radio.

AI is defined as any process or device that perceives its environment and take actions that maximize the chances of success for some predefined goal. It is appropriate to apply AI technologies to tackle accurate channel modeling, optimized physical layer design, flexible spectrum access, and complicated network deployment, automation, optimization, and management issues in the wireless domain. Emerging machine learning approaches and big data analytic technologies have also brought us excellent opportunities to further investigate the essential and so far unexplored characteristics of wireless networks, and to help make breakthrough in wireless communications, via novel radio and networking techniques, including new architectures as well as sophisticated algorithm and protocol designs.

The emerging Intelligent Radio has drawn particular attention to inter-disciplinary approaches from wireless communications and the AI research community. This Feature Topic (FT) will bring together leading researchers and developers from both industry and academia. The purpose of this FT is to provide the academic and industrial communities an excellent venue to present and discuss technical challenges and recent advances related to AI for wireless communications and networking. The topics of interest include, but are not limited to:

• Wireless system design and optimization o AI for channel measurement, modelling and estimation
  • New collaborative spectrum sensing enhanced by AI
  • AI for wireless transmission technologies, including antenna array, beamforming, code book design and signal processing
  • AI for system design, including multi-connectivity, and multi-hop relay
  • AI/machine learning for resource allocation and medium access control
  • Protocol design and optimization using machine learning
• Network management
  • AI for mobility management, including user association, handoff strategy, and backhaul technology
  • Energy-efficient resource allocation via AI/machine learning algorithms
  • AI for radio network slicing, and resource allocation for shared/virtualized networks
  • AI for network analytics and diagnosis
  • Machine learning, data mining, statistical modeling and big data analytics for network management
  • Evaluating potential limitations of AI solutions for networking
• Network applications and services
  • Novel deep-learning and convolutional neural network approaches for wireless system applications and services
  • Network architecture and optimization for AI/machine learning applications
  • Machine learning for media and entertainment in wireless networks
  • AI for network security, reliability, and safety
  • AI for edge caching and storage
  • AI for convergence of communications and computing
  • AI for localization and positioning
• Network automation
  • Machine learning in network control & automation
  • Proactive network monitoring architecture
  • Self-learning, self-organizing and predictive maintenance protocols and algorithms
  • Open-source AI algorithms and software for networking

Submission Guidelines

Manuscripts should conform to the standard format as indicated in the Information for Authors section of the Paper Submission Guidelines.

All manuscripts to be considered for publication must be submitted by the deadline through Manuscript Central. Select the “February 2020: Intelligent Radio: When Artificial Intelligence Meets Radio Network” topic from the drop-down menu of Topic/Series titles.

Important Dates

Manuscript Submission Deadline: 15 June 2019
Initial Decision: 16 August 2019
Revised Manuscript Due: 15 September 2019
Final Decision: 18 October 2019
Final Manuscript Due: 15 November 2019
Publication Date: February 2020

Guest Editors

Tao Chen
VTT Technical Research Centre of Finland, Finland

Hsiao-Hwa Chen
National Cheng Kung University, Taiwan

Zheng Chang
University of Jyväskylä, Finland

Shiwen Mao
Auburn University, USA