상세정보
학술지
Probabilistic Analysis of Spectral Efficiency for LTE Based on PDCCH Measurement Data
- 발행일
- 201909
- 출처
- IEEE Communications Letters, v.23 no.9, pp.1626-1630
- ISSN
- 1089-7798
- 출판사
- IEEE
- 협약과제
- 19HR1500, 전파자원 선순환을 위한 주파수 분석 기술 개발, 박승근
- 초록
- As the number of mobile subscribers of long-term evolution (LTE) service increases, it becomes important for various parties, such as operators, policymakers, and researchers, to examine how well LTE cells are deployed in terms of actual performance. To this end, we focus on spectral efficiency (SE) with the cell edge user throughput (TP) and average cell SE which can be calculated from the spectrum data of an LTE physical downlink control channel decoding device - Rohde Schwarz TSME. For these two aspects, crucial probabilities for the performance evaluations are defined using a joint distribution of resource block utilization and cell TP. We derive novel transformation methods that make them approximately follow a joint Gaussian distribution and use it to compute the probabilities. Furthermore, a deep neural network is adopted to analyze not only limited cases but also a wider range.
- KSP 제안 키워드
- Cell-Edge, Channel decoding, Deep neural network(DNN), Gaussian Distribution, Joint distribution, Long term Evolution(LTE), Performance evaluation, Physical Downlink Control Channel, Resource Block(RB), Spectral efficiency(SE), Spectrum data