• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.139-142
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• 2020

NB-IoT(Narrow Band Internet of Things) is an emerging LPWAN(Low Power Wide Area Network) radio technology. NB-IoT has many advantages like low power, low cost, and high coverage. However low bandwidth and low sampling rates also lead to poor positioning accuracy. This paper proposed a solution to optimize positioning accuracy under the OTDOA(Observed Time Difference of Arrival) approach by utilizing MLR(Multiple Linear Regression) models. Through the MLR model to predict the influence degree of weather(temperature, humidity, light intensity and air pressure) on the arrival time of signal transmission to improve the measurement accuracy. The improvement of measurement accuracy can greatly improve IoT applications based on NB-IoT.

• The Journal of the Korea Contents Association
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• v.3 no.3
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• pp.74-84
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• 2003

The Location Service (LCS) feature which provides the terminal UE’s geographical location information has been important issues in IMT-2000 system. The existing location positioning methods are classified into the cell ID based, OTDOA, and network assisted GPS. In this paper, a new hybrid location positioning method which combine three of these methods is proposed. Then the LCS protocol is developed under SDL (Specification and Description Language) development environment after designing a new LCS system architecture and behavior. This protocol design covers the LCS functional model and signaling procedure, system architecture, primitive and data structure, and process SDL diagrams.