Adaptive Modeling of Prediction of Telecommunications Network Throughput Performances in the Domain of Motorway Coverage

Abstract

The main goal of this paper is to create an adaptive model based on multilayer perceptron (MLP) for prediction of average downlink (DL) data throughput per user and average DL data throughput per cell within an LTE network technology and in a geo-space that includes a segment of the Motorway 9th January with the access roads. The accuracy of model prediction is estimated based on relative error (RE). With multiple trainings and testing of 30 different variants of the MLP model, with different metaparameters the final model was chosen whose average accuracy for the Cell Downlink Average Throughput variable is 89.6% (RE = 0.104), while for the Average User Downlink Throughput variable the average accuracy is 88% (RE = 0.120). If the coefficient of determination is observed, the results showed that the accuracy of the best selected prediction model for the first variable is 1.4% higher than the accuracy of the prediction of the selected model for the second dependent variable. In addition, the results showed that the performance of the MLP model expressed over R2 was significantly better compared to the reference multiple linear regression (MLR) model used.

PCA modeling of extraction and selection of variables influencing LTE network delay in urban mobility conditions

“…The set of research data was obtained from the mobile operator M:tel Banja Luka based on an officially sent Request (under an official cooperation agreement) which specified the necessary variables [12]. From the obtained database for the 4G LTE network, for the purposes of this research, a total of 1077 values of research variables were extracted for the period between 01.01.2021. and 15.01.2021. with a onehour sampling frequency [12]. The data are structured into (input/output) vectors.…”

Prediction of User Throughput in the Mobile Network Along the Motorway and Trunk Road

“…The section of the M17 trunk road, between the Johovac node and the town of Doboj in the length of 12 km, is marked in red in the same figure. Research data were obtained from the mobile operator M:tel based on a previously submitted official Request specifying the necessary variables [15]. The obtained database for the LTE network contains data from a total of 71053 measurements.…”

“…The obtained database for the LTE network contains data from a total of 71053 measurements. The values of the variables were registered in a period of 30 days (from 15 December 2020 to 15 January 2021), with a sampling frequency of one hour [15]. The data are structured into (input/output) vectors, where 17 independent variables, listed in Table 1, represent the input part, and the dependent variableaverage user throughput (USER_DL_TR), the output part of the vector [15].…”

“…The values of the variables were registered in a period of 30 days (from 15 December 2020 to 15 January 2021), with a sampling frequency of one hour [15]. The data are structured into (input/output) vectors, where 17 independent variables, listed in Table 1, represent the input part, and the dependent variableaverage user throughput (USER_DL_TR), the output part of the vector [15]. In addition to the names of variables, Table 1 also provides abbreviated labels (V…) used further in the paper.…”

Quality of service performances of video and voice transmission in universal mobile telecommunications system network based on OPNET

“…Header compression functionality is provided by the PDCP while the RLC layer can function in either acknowledged transparent or unacknowledged mode. A dependable data transfer can be achieved over an error-prone radio interface using the acknowledged mode while the transparent and un-acknowledged modes cannot ensure data delivery [15]. The transparent mode is mainly developed for application in the UMTS circuit-switched mode where data passed unchanged through the RLC.…”