Affiliations: Dept. of Computer Science, National Chiao Tung
University, Telecommunication Lab, Chunghwa Telecom Co., Ltd., Taiwan.
E-mail: [email protected] | Dept. of Computer Science, National Chiao Tung
University, Dept. of Information Science and Applications, Asia University,
Taiwan. E-mail: [email protected] | Telecommunication Lab, Chunghwa Telecom Co., Ltd.,
Taiwan. E-mail: [email protected] | Dept. of Electrical Engineering, National Central
University, Taiwan. E-mail: [email protected]
Abstract: Locating the radio signal coverage hole (SCH) and signal weak
coverage area (SWCA) in the mobile network and taking appropriate actions to
improve network quality are the major tasks for mobile network operators (MNO).
A novel approach, Signal Coverage Hole and weak coverageArea DIscovering Model
(SCHADIM), is proposed based on spatiotemporal data mining on the raw data
collecting from location based service (LBS) to achieve this goal. It reuses
the communication raw data in LBS-based applications and transforms it into
mobile network communication quality monitoring information by integrating the
GIS (geographical information system), road network database and mobile network
base station database. By this way, the vehicles in the LBS-based applications
can be regarded as the mobile network signal probing vehicles, which provides
plentiful information for discovering the SCH/SWCA. Comparing to the
traditionalmobile network signal probing vehicle method, which is known as
radio site verification (RSV) method, the proposed SCHADIM has the
spatiotemporal coverage as well as cost advantages. A mobile network monitoring
system, cellular network quality safeguard (CQS), has been implemented based on
the proposed model which combines with the domain expert heuristics to provide
decision support information for optimizing the mobile network.
Keywords: Spatiotemporal data mining, Radio signal coverage hole, Mobile network planning, Location-based service (LBS)
