ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술대회 Hidden Markov Model based Analysis on the MCS Index of LTE using PDCCH Measurement Data
Cited 1 time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
김윤배, 엄중선, 김이고르, 박승근
International Conference on Ubiquitous and Future Networks (ICUFN) 2019, pp.333-335
19HR1500, 전파자원 선순환을 위한 주파수 분석 기술 개발, 박승근
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 제안 키워드
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