A global research team, led by the Lassonde School of Engineering, undertook some vital research on how to better support IoT devices and services in cellular networks by transferring data more swiftly. This will greatly enhance our connected world; improve the user experience; and impact industry, healthcare, business, transportation and everyday life.
The “Internet of Things” (IoT) is connecting our world in ways previously unimagined. Soon, all electronic objects and devices – including washing machines, smoke detectors, refrigerators, thermostats, fitness bands, smart watches, cars, farm animal sensors, garbage bins and street lights – will be connected to the internet and, therefore, actively involved in everyday life.
Professor Uyen Trang Nguyen, in the Department of Electrical Engineering & Computer Science at York University’s Lassonde School of Engineering, posed a vital question about this intelligent, connected society: How can we make it better? With a team of researchers that included a scientist from the University of Sydney (Australia), she endeavoured to answer this question. PhD student Hazem Ibrahim did the math and wrote the first draft of this groundbreaking research paper.
The research team found a way to improve the speed at which data is transferred from one point to another in a wireless network
The team focused on the IoT and 5G cellular networks – 5G is the fifth-generation cellular network technology that provides broadband access – and found a way to improve the data rate, which is the speed at which data is transferred from one point to another in a wireless network, measured in bytes per second.
“We enhanced the way in which 5G cellular networks could have 1,000-fold increases in data rates and lower latency, which refers to the amount of time it takes for data to move from one place to the next,” Nguyen says. “This will greatly improve the user experience,” she adds.
From left: Uyen Trang Nguyen and Hazem Ibrahim
These findings, which will have a profound ripple effect on everyday life, industry, business, health care and transportation systems, were published in the IEEE Internet of Things Journal in 2019.
Team built an analytical model that goes beyond traditional cellular networks
Nguyen is an expert in this field. Her areas of research interest are wireless ad hoc and sensor networks, cellular networks, network security and information security, online social networking and multimedia applications.
The speed of data is Ibrahim’s area of expertise. “I’m interested in modelling and performance analysis of wireless architectures and technologies that would enable future high-rate applications. I’ve been working on wireless cellular networks that could unleash extremely high wireless data rates and could very well be the main fuel of 5G networks,” he explains.
In this study, Nguyen’s team sought to to maximize the data rates of devices and ensure fairness of data rates among devices. To do this, the researchers developed a novel analytical model to estimate the mean data rate of devices.
In a traditional cellular network, each device connects to a base station, as shown in Figure 1. However, in a network with a huge number of IoT devices, in the range of tens of thousands to millions, it would not be scalable (or it would be too expensive) to provide direct wireless access between each device and a base station.
Figure 1: Traditional cellular network
To address this issue, researchers proposed a hierarchical architecture, in which smaller base stations called aggregators are added to act as relays between the devices and the traditional larger base stations, as shown in Figure 2.
In this two-tier architecture, a device can be connected to a base station (in tier 1) or an aggregator (in tier 2), depending on the distances between the device and its surrounding base stations and aggregators. A device in this network, which is called a “two-hop IoT network,” will connect to the closest entity, be it a base station or an aggregator.
“Aggregators acting as relays allow millions of devices to connect to the internet without overwhelming a fixed number of base stations,” Nguyen explains.
Figure 2: Two-hop IoT network
Researchers able to optimize network parameters and minimize interference
Based on the model they developed, the researchers were able to optimize key network parameters, such as the partition ratio of the wireless spectrum between the two tiers. They were also able to minimize inference among wireless transmissions from devices.
“High interference is a major challenge for IoT networks, caused by many devices transmitting at the same time. Interference damages wireless signals and renders them unreadable by the devices,” Ibrahim says. “The goal is to mitigate interference among devices so as to improve their data rates,” he emphasizes.
The team was very successful: their model and optimization techniques provided a way for 5G cellular networks to maximize data rates and enhance user experience.
To read the article “Data Rate Utility Analysis for Uplink Two-Hop Internet-of-Things Networks,” visit the IEEE Internet of Things Journal website. To learn more about Nguyen, visit her faculty profile page. To read more about Ibrahim, visit his website.
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By Megan Mueller, senior manager, Research Communications, Office of the Vice-President Research & Innovation, York University, muellerm@yorku.ca