Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
12-2014
Abstract
The operating environment of cellular networks can be in a constant state of change. One Singaporean operator expressed difficulty with the coverage assertion (CA) problem of whether regulated minimum coverage is met, especially in urban areas. Currently, the operator manually appraises coverage through laborious and expensive walk/drive-tests. In this paper, we propose Tattle, a distributed, low-cost and comprehensive cellular network measurement collection and processing framework. We exemplify Tattle by leveraging on participating UEs to report on network coverage in real-time. Tattle exploits wireless local-area interfaces to exchange RSCP measurements amongst devices to preserve the co-locality of readings and conserve power. We propose U-CURE, a clustering algorithm which considers sample location uncertainty and the knowledge of device co-location to remove erroneously localized readings. We develop a prototype app on the Android™ platform as a proof-of-concept of the Tattle framework. We then use the Tattle framework to perform extensive RSCP measurement collection and processing in various areas in Singapore, collecting over 3.78 million readings. We present visualizations of mean signal coverage and RSCP CDFs for various areas of interest. The latter is a key output of Tattle, which helps operators to appraise coverage and solve the CA problem by relying on subscriber measurements, instead of expensive, laborious and limited-scale walk-/drive-tests.
Keywords
Cellular coverage measurement, Cellular network management, Participatory sensing
Discipline
Computer Sciences
Research Areas
Software and Cyber-Physical Systems
Publication
2014 IEEE Global Communications Conference (GLOBECOM),
First Page
2205
Last Page
2211
Identifier
10.1109/GLOCOM.2014.7037135
Publisher
IEEE
City or Country
Austin, TX
Citation
Huiguang Liang; Hyong Kim; TAN, Hwee-Pink; and Wai-Leong Yeow.
I’ve heard you have problems: Cellular signal monitoring through UE participatory sensing. (2014). 2014 IEEE Global Communications Conference (GLOBECOM),. 2205-2211.
Available at: https://ink.library.smu.edu.sg/sis_research/2943
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