Advances in Statistical Channel Modeling for Future Wireless Communications Networks

Submission Deadline: 30 June 2019

IEEE Access invites manuscript submissions in the area of Advances in Statistical Channel Modeling for Future Wireless Communications Networks.

Wireless communication technology, including both radio and optical frequencies, has become an important aspect of modern life. The accurate depiction of wireless signals is paramount. Statistical channel modeling is of great importance, as accurate characterization of the propagation channel is essential for different applications like system design and performance analysis.

Recently, various types of new wireless communication systems have emerged, such as device-to-device, millimeter wave, and massive multiple-input multiple output (MIMO) systems. However, traditional and well-established fading models, such as Rayleigh, Rician, and Nakagami-m, may not accurately model the random fluctuations of the received signal. There is a strong, credible body of evidence, suggesting that the complex electromagnetic propagation phenomena involved in new wireless communications should be taken into account by general and unifying, physically based channel models. Researchers have been making great efforts to propose appropriate channel models and readers of IEEE Access have keen interest in the research advances in this fundamental and important area.

The topics of interest include, but are not limited to:

  • Backscatter communications
  • Collocated, distributed and cell-free massive MIMO communications
  • Millimeter wave communications
  • Device-to-device communications
  • Satellite communications
  • UAV communications
  • Underwater and marine communications
  • Vehicular communications
  • Visible light/free-space optical communications
  • High-speed mobility scenarios
  • Wireless body area networks
  • Internet of Things in smart factories
  • Physical layer security of wireless communications


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Associate Editor:  Daniel Benevides da Costa, Federal University of Ceará, Brazil

Guest Editors:

  1. Jiayi Zhang, Beijing Jiaotong University, China
  2. George K. Karagiannidis, Aristotle University of Thessaloniki, Greece
  3. Kostas P. Peppas, University of Peloponnese, Greece
  4. Michail Matthaiou, Queen’s University of Belfast, UK
  5. Octavia A. Dobre, Memorial University, Canada


Relevant IEEE Access Special Sections:

  1. Big Data Analytics in Internet-of-Things And Cyber-Physical System
  2. Optical Wireless Technologies for 5G Communications and Beyond
  3. Modelling, Analysis, and Design of 5G Ultra-Dense Networks

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: