Skip to main content
Top

Statistical model of the human RF exposure in small cell environment

  • 12-12-2018
Published in:

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Small cells are one of the solutions to face the imperative demand on increasing mobile data traffic. They are low-powered base stations installed close to the users to offer better network services and to deal with increased data traffic. In this paper, the global exposure induced in such networks as a whole from user equipment and base stations has been investigated. As the small cell is close to the user, the propagation channel becomes highly variable and strongly susceptible by environmental factors such as the road traffic. An innovative statistical path loss model is constructed based on measurements on two French commercial LTE small cells, operating at LTE 1800 MHz and 2600 MHz. This statistical path loss model is then used to assess global exposure of the adult proportion of a population in a scenario composed of a street lined with buildings and indoor and outdoor data users.

Not a customer yet? Then find out more about our access models now:

Individual Access

Start your personal individual access now. Get instant access to more than 164,000 books and 540 journals – including PDF downloads and new releases.

Starting from 54,00 € per month!    

Get access

Access for Businesses

Utilise Springer Professional in your company and provide your employees with sound specialist knowledge. Request information about corporate access now.

Find out how Springer Professional can uplift your work!

Contact us now
Title
Statistical model of the human RF exposure in small cell environment
Authors
A. Chobineh
Y. Huang
T. Mazloum
E. Conil
J. Wiart
Publication date
12-12-2018
Publisher
Springer International Publishing
Published in
Annals of Telecommunications / Issue 1-2/2019
Print ISSN: 0003-4347
Electronic ISSN: 1958-9395
DOI
https://doi.org/10.1007/s12243-018-0677-9
This content is only visible if you are logged in and have the appropriate permissions.
Image Credits
Neuer Inhalt/© ITandMEDIA, Nagarro GmbH/© Nagarro GmbH, AvePoint Deutschland GmbH/© AvePoint Deutschland GmbH, AFB Gemeinnützige GmbH/© AFB Gemeinnützige GmbH, USU GmbH/© USU GmbH, Ferrari electronic AG/© Ferrari electronic AG