Publication Type
Conference Proceeding Article
Version
publishedVersion
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 | Software Engineering | Theory and Algorithms
Research Areas
Software and Cyber-Physical Systems
Publication
WiNTECH '12: Proceedings of the 7th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, Istanbul, Turkey, August 22
First Page
19
Last Page
26
ISBN
9781450315272
Identifier
10.1145/2348688.2348695
Publisher
ACM
City or Country
New York
Citation
LUONG, Trung-Tuan; SUBBARAJU, Vigneshwaran; MISRA, Archan; and SESHAN, Srinivasan.
Measurement-driven performance analysis of indoor femtocellular networks. (2012). WiNTECH '12: Proceedings of the 7th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, Istanbul, Turkey, August 22. 19-26.
Available at: https://ink.library.smu.edu.sg/sis_research/3487
Copyright Owner and License
LARC
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2348688.2348695