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Method for Handling Massive IoT Traffic in 5G Networks

The ever-growing Internet of Things (IoT) data traffic is one of the primary research focuses of future mobile networks. 3rd Generation Partnership Project (3GPP) standards like Long Term Evolution-Advanced (LTE-A) have been designed for broadband services. However, IoT devices are mainly based on n...

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Detalles Bibliográficos
Autores principales: Marwat, Safdar Nawaz Khan, Mehmood, Yasir, Khan, Ahmad, Ahmed, Salman, Hafeez, Abdul, Kamal, Tariq, Khan, Aftab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264104/
https://www.ncbi.nlm.nih.gov/pubmed/30445755
http://dx.doi.org/10.3390/s18113966
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author Marwat, Safdar Nawaz Khan
Mehmood, Yasir
Khan, Ahmad
Ahmed, Salman
Hafeez, Abdul
Kamal, Tariq
Khan, Aftab
author_facet Marwat, Safdar Nawaz Khan
Mehmood, Yasir
Khan, Ahmad
Ahmed, Salman
Hafeez, Abdul
Kamal, Tariq
Khan, Aftab
author_sort Marwat, Safdar Nawaz Khan
collection PubMed
description The ever-growing Internet of Things (IoT) data traffic is one of the primary research focuses of future mobile networks. 3rd Generation Partnership Project (3GPP) standards like Long Term Evolution-Advanced (LTE-A) have been designed for broadband services. However, IoT devices are mainly based on narrowband applications. Standards like LTE-A might not provide efficient spectrum utilization when serving IoT applications. The aggregation of IoT data at an intermediate node before transmission can answer the issues of spectral efficiency. The objective of this work is to utilize the low cost 3GPP fixed, inband, layer-3 Relay Node (RN) for integrating IoT traffic into 5G network by multiplexing data packets at the RN before transmission to the Base Station (BS) in the form of large multiplexed packets. Frequency resource blocks can be shared among several devices with this method. An analytical model for this scheme, developed as an r-stage Coxian process, determines the radio resource utilization and system gain achieved. The model is validated by comparing the obtained results with simulation results.
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spelling pubmed-62641042018-12-12 Method for Handling Massive IoT Traffic in 5G Networks Marwat, Safdar Nawaz Khan Mehmood, Yasir Khan, Ahmad Ahmed, Salman Hafeez, Abdul Kamal, Tariq Khan, Aftab Sensors (Basel) Article The ever-growing Internet of Things (IoT) data traffic is one of the primary research focuses of future mobile networks. 3rd Generation Partnership Project (3GPP) standards like Long Term Evolution-Advanced (LTE-A) have been designed for broadband services. However, IoT devices are mainly based on narrowband applications. Standards like LTE-A might not provide efficient spectrum utilization when serving IoT applications. The aggregation of IoT data at an intermediate node before transmission can answer the issues of spectral efficiency. The objective of this work is to utilize the low cost 3GPP fixed, inband, layer-3 Relay Node (RN) for integrating IoT traffic into 5G network by multiplexing data packets at the RN before transmission to the Base Station (BS) in the form of large multiplexed packets. Frequency resource blocks can be shared among several devices with this method. An analytical model for this scheme, developed as an r-stage Coxian process, determines the radio resource utilization and system gain achieved. The model is validated by comparing the obtained results with simulation results. MDPI 2018-11-15 /pmc/articles/PMC6264104/ /pubmed/30445755 http://dx.doi.org/10.3390/s18113966 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marwat, Safdar Nawaz Khan
Mehmood, Yasir
Khan, Ahmad
Ahmed, Salman
Hafeez, Abdul
Kamal, Tariq
Khan, Aftab
Method for Handling Massive IoT Traffic in 5G Networks
title Method for Handling Massive IoT Traffic in 5G Networks
title_full Method for Handling Massive IoT Traffic in 5G Networks
title_fullStr Method for Handling Massive IoT Traffic in 5G Networks
title_full_unstemmed Method for Handling Massive IoT Traffic in 5G Networks
title_short Method for Handling Massive IoT Traffic in 5G Networks
title_sort method for handling massive iot traffic in 5g networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264104/
https://www.ncbi.nlm.nih.gov/pubmed/30445755
http://dx.doi.org/10.3390/s18113966
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