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Advances in Statistical Channel Modeling for Wireless Communications

Call for Papers

The complex electromagnetic propagation phenomena involved in modern wireless communications are taken into account by an appropriate channel modeling. Statistical channel models are a powerful tool for the communications engineer since they are able to capture the fundamental behavior of the wireless channel with reasonably simple mathematical formulation. New communication scenarios and services demand novel statistical channel models or extensions of those used in the field of wireless communications.

We invite investigators to contribute original research articles as well as review articles that will stimulate the continuing efforts to develop novel statistical channel models for wireless communications and to better understand those currently used by engineers and academics. We are particularly interested in articles describing new proposals for statistical fading models and novel results for those existing in the literature, advances in time-varying wideband statistical channel models, novel statistical modeling results for multiple-input multiple-output (MIMO) channels, and new fits of statistical channel models to field measurements.

This special issue aims to provide a synthesized source of recent research results, and in particular, we solicit high-quality original research papers with novel contributions and breaking results in all aspects of statistical channel modeling. Potential topics include, but are not limited to:

  • New statistical fading models for radio channels
  • Advances in recently proposed fading models such as η-μ, κ-μ, α-μ, Ricean shadowed, and κ-μ shadowed
  • New results on classical fading models such as Hoyt, Rayleigh, Ricean, Nakagami-m, Weibull, and Lognormal
  • Statistical models for multihop wireless communications channels
  • Statistical models for cooperative communication channels
  • Statistical models for cognitive radio channels
  • Advances in time-varying wideband statistical channel models
  • New statistical models for MIMO radio channels
  • Applications of random matrix theory to statistical modeling of MIMO channels
  • Modeling of massive MIMO channels
  • Measurements of wireless communications channels useful for statistical modeling
  • New fits of statistical channel models to field measurements
  • Novel performance analysis metrics of statistical channel models (ergodic capacity, outage capacity, outage probability, error rates, etc.)

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/ijap/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ijap/ascm/ according to the following timetable:

Manuscript DueFriday, 9 May 2014
First Round of ReviewsFriday, 1 August 2014
Publication DateFriday, 26 September 2014

Lead Guest Editor

  • Jose F. Paris, Department of Communications Engineering, University of Málaga, 29071 Málaga, Spain

Guest Editors

  • Paschalis Sofotasios, Department of Electronics and Communications Engineering, Tampere University of Technology, 33720 Tampere, Finland
  • Theodoros Tsiftsis, Department of Electrical Engineering, Technological Educational Institute of Central Greece, 35100 Lamia, Greece