Title
Probabilistic Analysis of Spectral Efficiency for LTE Based on PDCCH Measurement Data
Abstract
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.
Year
DOI
Venue
2019
10.1109/LCOMM.2019.2925790
IEEE Communications Letters
Keywords
Field
DocType
LTE,resource block,cell edge throughput,cell spectral efficiency,deep neural network
Control channel,Joint probability distribution,Computer science,Algorithm,Probabilistic analysis of algorithms,Real-time computing,Gaussian,Spectral efficiency,Decoding methods,Throughput,Telecommunications link
Journal
Volume
Issue
ISSN
23
9
1089-7798
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yoonjoo Lee100.34
Yunbae Kim201.01
Yeongyu Park392.03
seungkeun park4131.71