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Conference Paper Hidden Markov Model based Analysis on the MCS Index of LTE using PDCCH Measurement Data
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Authors
Yunbae Kim, Jungsun Um, Igor Kim, Seungkeun Park
Issue Date
2019-07
Citation
International Conference on Ubiquitous and Future Networks (ICUFN) 2019, pp.333-335
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICUFN.2019.8806178
Abstract
Recent maturity of Long Term Evolution (LTE) system has raised interest in evaluating how efficiently LTE cells are deployed. Noting that the Modulation and Coding Scheme (MCS) index determines the quality of transmission, we analyze the temporal variation of the index of a user equipment. Adopting a widely used Markov assumption on the variation, we exploit a hidden Markov model to estimate transition probability matrices describing the stochastic behavior of the MCS index. In the estimation, we use the real-world measurement data via a recently introduced reliable platform which can decode the control channels of LTE downlink signal. Numerical examples validate our analysis by investigating stationary probabilities.
KSP Keywords
Control channel, LTE downlink, Long term Evolution(LTE), Markov assumption, Model-based analysis, Numerical examples, Quality of Transmission(QoT), Real-world Measurement, Stationary probabilities, Temporal variation, Transition probability