## 2 Overview of Published Relevant Research
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Number of Reference** & **Title of the Paper/Book** & **Applied Model** & **Keywords That Correlate with This Paper** & **Novelies in This Paper/Research** \\ \hline
[1] & Komunkakoon Interpreting & Models of communication theory & Communication, network, performances, model & \\ \hline
[2] & Analyzing Throughput and Stability in Cellular Networks & Bagging based classification, random forest, conditional inference tree & Machine learning model, throughput, prediction, network performance & \\ \hline
[3] & An Empirical Characterization of Cellular Network Performance & Empirical model & Throughput, 4G LTE, network parameters & \\ \hline
[4] & On the Quest for New KPIs in Mobile Networks: The Impact of Throughput & Mathematical model & Throughput, KFI, average downlink throughput \\ \hline
[5] & Anatomizing Application Performance Differences on Smartphones & Empirical model, probability model & Cellular data network performance, throughput \\ \hline
[6] & Mobile Network Measurements-IFs not all about Signal Strength & Statistical model & Throughput, signal strength, network coverage & -An MII model with a new set of metaparameters was applied \\ \hline
[7] & Modeling and Performance Evaluation of LTE Networks with Different TCP Variants & LTE simulation model & LTE network, throughput, TCP performance & -An MII model with a new set of metaparameters was applied \\ \hline
[8] & A Model for Inter-hophop Prediction for Mobile Users & Stochastic model & LTE network, throughput, prediction, mobile networks & -An significantly larger set of metaparameters was applied \\ \hline
[9] & Instantaneous Throughput Prediction in Cellular Networks: Which Information is Needed? & Stochastic model & LTE user throughput, prediction, mobile networks, users & -Multiple training and testing of 30 different variants of the MII model, with different metaparameters \\ \hline
[10] & An Empirical Study of Throughput Prediction in Mobile Data Networks & Empirical model & TCP throughput, prediction error, mobile networks & -Multiple training and testing of 30 different variants of the MII model, with different metaparameters \\ \hline
[11] & Latency analysis for MIA and Online Gaming traffic in an HSI network & Statistical model & Latency, traffic, throughput \\ \hline
[12] & Evaluating of the ITURA (ISPI) performance in different configurations in the presence of MEM and online gaming traffic & Statistical model & Latency, traffic, throughput \\ \hline
[13] & Logistic regression based in-service assessment of mobile web browsing service quality & Binary logistic regression model & QoE prediction, network performance, QoS \\ \hline
[14] & Mobile Traffic Prediction Based on Densely Connected CNN for Cellular Networks in Highway Services & Convolutional neural networks & Traffic prediction, highway, deep learning \\ \hline
[15] & LTE Downlink throughput modeling using Neural Networks & Artificial neural network model, deep neural network & Artificial neural networks, user downlink throughput, cell downlink throughput \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Overview of referenced previous research in the subject of this paper.