Abstract
In this work, a new method employs Bioinspired Computational (BIC) optimization from the genetic algorithm, bat algorithm, and flower pollination algorithm. Robust and accurate modeling of the input parameters adjusts the propagation models Stanford University Interim, Electronic Communication Committee, and Floating Interception that consider environments with characteristics specifically of urban regions in the Amazon. The lack of research related to the development of propagation models for Amazonian environments motivated this work. Thus, this application proves the effectiveness of using BIC techniques for modeling the communication channel. Measurement campaigns were carried out in the city of Belem, Brazil, for large-scale channel modeling on the frequencies of 1.8 and 2.6 GHz, belonging to the long-term evolution or fourth-generation mobile communications system (4G). After being adjusted by the optimum values calculated by the BIC techniques used, the models showed better results compared to modeling without optimization. Additionally, it was verified an error reduction of about 80% concerning the metrics root-mean-square error and standard deviation.
Highlights
The great benefit that Long Term Evolution (LTE) brought to the new generation of networks was the increase in data traffic and, the provision of Quality of Service (QoS) to the customer
It is essential to explain that the graphs presented show maximum values of the average distance of 800 meters because the measurement was in a real environment, and it was not possible to control the transmitter
The parameter Abm is in the model Electronic Communication Committee (ECC)-33 in (15), and the parameters α and β are given in the model Floating Interception (FI) in (13)
Summary
The great benefit that Long Term Evolution (LTE) brought to the new generation of networks was the increase in data traffic and, the provision of Quality of Service (QoS) to the customer. Since LTE operates in different frequency bands, it is possible to activate carrier aggregation, that is, joining the connections of two frequencies operating only one carrier [4]. The capacity of the available spectrum is increased, optimizing the network, and giving high speed to the end-user. Another important point is the signal coverage that is determined using propagation models. The models are mathematical tools developed with the objective of calculating the average behavior of the signals, the Brazilian Microwave and Optoelectronics Society-SBMO received 23 Oct 2020; for review 9 Nov 2020; accepted 25 Mar 2021
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