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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

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Method for Handling Massive IoT Traffic in 5G Networks.

Safdar Nawaz Khan Marwat¹, Yasir Mehmood², Ahmad Khan³

¹Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar 25120, Pakistan. safdar@uetpeshawar.edu.pk.

Sensors (Basel, Switzerland)

|November 18, 2018

Summary

This summary is machine-generated.

Integrating Internet of Things (IoT) traffic into 5G networks is optimized by using 3rd Generation Partnership Project (3GPP) fixed Relay Nodes (RNs) to aggregate and multiplex data. This improves spectral efficiency for narrowband IoT applications.

Keywords:

5G IoT analytical model r-stage Coxian process resource block

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Area of Science:

Mobile Communications
Wireless Networking
Internet of Things (IoT)

Background:

Future mobile networks face challenges with increasing Internet of Things (IoT) data traffic.
Existing 3rd Generation Partnership Project (3GPP) standards like Long Term Evolution-Advanced (LTE-A) are optimized for broadband, not narrowband IoT applications, leading to inefficient spectrum utilization.
Narrowband IoT applications require efficient data handling to avoid network congestion.

Purpose of the Study:

To investigate the use of low-cost 3GPP fixed, inband, layer-3 Relay Nodes (RNs) for integrating IoT traffic into 5G networks.
To enhance spectral efficiency by aggregating and multiplexing IoT data packets at the RN before transmission.
To analyze the radio resource utilization and system gain of the proposed scheme.

Main Methods:

An analytical model based on an r-stage Coxian process was developed to represent the data aggregation and multiplexing scheme.
The model calculates radio resource utilization and system gain.
The analytical model's results were validated against simulation results.

Main Results:

The proposed scheme demonstrates improved spectral efficiency for serving narrowband IoT applications within 5G networks.
Multiplexing IoT data packets at the RN allows for efficient sharing of frequency resource blocks among multiple devices.
The analytical model accurately predicts the performance of the system.

Conclusions:

Utilizing 3GPP fixed RNs for data aggregation and multiplexing is an effective strategy for integrating IoT traffic into 5G networks.
The proposed method significantly enhances spectral efficiency and radio resource utilization for IoT applications.
The developed analytical model provides a reliable tool for evaluating system performance.