Submission Deadline: 30 April 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:
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Associate Editor: Daniel Benevides da Costa, Federal University of Ceará, Brazil
Relevant IEEE Access Special Sections:
IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
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