A Fuzzy Inference Model for Evaluating Data Transfer in LTE Mobile Networks via Crowdsourced Data

Authors

  • Julio Ernesto Zaldivar-Herrera Instituto Politécnico Nacional
  • Luis Pastor Sánchez-Fernández Instituto Politécnico Nacional
  • Luis Manuel Rodríguez-Méndez Instituto Politécnico Nacional
  • María Teresa Zagaceta-Álvarez Escuela Superior de Ingeniería Mecánica y Eléctrica, Instituto Politécnico Nacional

DOI:

https://doi.org/10.13053/cys-28-3-4826

Keywords:

Quality of service, key performance indicators, long-term evolution, crowdsourcing, fuzzy inferences system, assessment indices

Abstract

Improving the Quality of Service (QoS) in the data transfer of 4G Long-Term Evolution (LTE) mobile networks has been a significant concern. Previous analyses have focused on enhancing network infrastructure using statistical tools, computational algorithms, and fuzzy models to improve mobile network operators. Those works are based on simulated data or data collected by a specialized modem without providing user information. In this study, we propose a fuzzy inference model to evaluate QoS Key Performance Indicators and signal parameters using data acquired by user equipment through collaboration or crowdsourcing. This fuzzy inference model provides specialists with a new method for assessing the QoS and offers users relevant information on the quality of data transfer service in LTE networks. The evaluation is based on fuzzy QoS, and effectiveness indices are classified into five levels: Very Poor, Poor, Acceptable, Good, and Very Good. Furthermore, the model can evaluate other data samples different from those used in this proposal. Finally, this method can assess the data transfer of 5G networks, making respective adaptations.

Author Biographies

Julio Ernesto Zaldivar-Herrera, Instituto Politécnico Nacional

He received his B.Sc. in Communications and Electronics and his M.Sc. in System Engineering from Instituto Politécnico Nacional in Mexico. He is a Ph.D. student in Centro de Investigación en Computación of the Instituto Politécnico Nacional in Mexico. His research interests include wireless networks, computational modelling and physical computing.

Luis Pastor Sánchez-Fernández, Instituto Politécnico Nacional

Ph.D. in Technical Sciences for the Higher Polytechnical Institute "José Antonio Echeverría", Havana, Cuba (1998). Professor-Researcher of the Centre for Computing Research of National Polytechnic Institute, Mexico City, since 2000. Member of the National Researchers System of Mexico. His research interests include measurement and monitoring systems; expert systems; virtual instrumentation; signal pattern recognition; intelligent systems for automation; biomechanical analysis; Parkinson's disease; environmental noise indicators and acoustic indexes for urban spaces; harmful health effects of environmental noise.

Luis Manuel Rodríguez-Méndez, Instituto Politécnico Nacional

He received his Ph.D. in semiconductor physics for high-frequency applications in 2015, carried out within the fundamental electronics group at the University of Paris South XI. He received a Master of Science degree with a speciality in Microwaves at CICESE-Ensenada. He is currently a full professor at ESIME Zacatenco; in the telecommunications graduate program, he is part of the research line Communications Systems and Advanced Telecommunications Devices and belongs to the Network of Telecommunications Experts; his research interest is the design of microwave communication devices.

María Teresa Zagaceta-Álvarez, Escuela Superior de Ingeniería Mecánica y Eléctrica, Instituto Politécnico Nacional

She received the B.S. degree in robotics engineering and the M.S. and Ph.D. degrees in advanced technology from the CICATA, IPN, Mexico, in 2003, and 2009, respectively. She is currently a member of the National System of Researchers, Mexico, and a Professor at the ESIME, IPN. She has participated in national and international publications. Her research interests include filtering theory and signal processing

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Published

2024-09-12

Issue

Vol. 28 No. 3 (2024): 28(3) 2024

Section

Articles

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