Publication Type

Conference Proceeding Article

Publication Date

8-2012

Abstract

This paper describes initial empirical studies, performed on a 6-node 3G indoor femtocellular testbed, that investigate the impact of pedestrian mobility on network parameters, such as handoff behavior and data throughput. The studies establish that, owing to the small radii of cells, even modest changes in movement speed can have disproportionately large impact on handoff patterns and network throughput. By also revealing a strong temporal dependency effect, the studies motivate the need for algorithms to accurately predict RF signal strength distributions in dynamic indoor environments. We present such an RF prediction algorithm, based on crowd-sourced signal strength readings, and show that the algorithm can predict RF signal strengths with an average estimation error of 3 dBm.

Keywords

femtocellular, crowd-sourcing, RF signal

Discipline

Computer Sciences | Theory and Algorithms

Research Areas

Software and Cyber-Physical Systems

Publication

WiNTECH '12 Proceedings of the seventh ACM international workshop on Wireless network testbeds, experimental evaluation and characterization

First Page

19

Last Page

26

ISBN

978-1-4503-1527-2

Identifier

10.1145/2348688.2348695

Publisher

ACM

City or Country

New York, USA

Copyright Owner and License

LARC

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org/10.1145/2348688.2348695

Share

COinS