Research Article Propagation Measurements and Comparison with EM Techniques for In-Cabin Wireless Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2009 Article ID 784905 13 pages doi 2009 784905 Research Article Propagation Measurements and Comparison with EM Techniques for In-Cabin Wireless Networks Nektarios Moraitis 1 Philip Constantinou 1 Fernando Perez Fontan 2 and Pavel Valtr2 1 Mobile Radiocommunications Laboratory National Technical University of Athens 9Heroon Polytechniou str. Zografou 15773 Athens Greece 2 Department of Signal Theory and Communications ETSI Telecommunication University of Vigo 36200 Vigo Spain Correspondence should be addressed to Fernando Perez Fontan fpfontan@ Received 2 September 2008 Revised 20 January 2009 Accepted 16 March 2009 Recommended by Claude Oestges This paper presents results of a narrowband measurement campaign conducted inside a Boeing 737-400 aircraft the objective being the development of a propagation prediction model which can be used in the deployment of in-cabin wireless networks. The measurements were conducted at three different frequency bands and GHz representative of several wireless services. Both a simple empirical inverse distance power law and a deterministic site-specific model were investigated. Parameters for the empirical model were extracted from the measurements at different locations inside the cabin aisle and seats. Additionally a statistical characterization of the multipath scenario created by the transmitted signal and the various cabin elements is presented. The deterministic model based on Physical Optics PO techniques provides a reasonable match with the empirical results. Finally measurements and modeling results are provided for the penetration loss into the cabin or out of the cabin representative of interference scenarios. Copyright 2009 Nektarios Moraitis et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and .
