2005Unpublished venueRequires access

Propagation prediction inside a B767 in the 2.4 GHz and 5 GHz radio bands

Gary C. Hankins, Linda L. Vahala, John H. Beggs

Open publisher page 17 citations

Abstract

A signal strength prediction model was developed for a B767-300ER using Wireless Valley's EnterprisePlanner, which is commercial grade software intended for predictions within office buildings. The performance of the model was validated through a comparison with test data measurements taken on the aircraft. It was concluded that the model can accurately predict power propagation throughout the cabin. This model can enhance researchers' understanding of power propagation within aircraft cabins and will aid in future research.

About this research paper

What this paper is about

A signal strength prediction model was developed for a B767-300ER using Wireless Valley's EnterprisePlanner, which is commercial grade software intended for predictions within office buildings. The performance of the model was validated through a comparison with test data measurements taken on the aircraft. It was concluded that the model can accurately predict power propagation throughout the cabin. This model can enhance researchers' understanding of power propagation within aircraft cabins and will aid in future research.

Why it matters

OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A signal strength prediction model was developed for a B767-300ER using Wireless Valley's EnterprisePlanner, which is commercial grade software intended for predictions within office buildings. The performance of the model was validated through a comparison with test data measurements taken on the aircraft. It was concluded that the model can accurately predict power propagation throughout the cabin. This model can enhance researchers' understanding of power propagation within aircraft cabins and will aid in future research.

Key concepts: Radio propagation, Wireless, Software, Radio signal, Computer science, Signal strength, Power (physics), Radio frequency

Related papers

Back to paper searchBrowse research topicsOriginal source
Propagation prediction inside a B767 in the 2.4 GHz and 5 GHz radio bands — Research Paper | ScholarLens