Osman Nuri Can Yilmaz

Analysis of ultra-reliable and low-latency 5G communication for a factory automation use case

The fifth generation (5G) of cellular networks is starting to be defined to meet the wireless connectivity demands for 2020 and beyond. One area that is considered increasingly important is the capability to provide ultra-reliable and low-latency communication, to enable e.g., new mission-critical machine-type communication use cases. One such example with extremely demanding requirements is the industrial automation with a need for ultra-low latency with a high degree of determinism. In this paper, we discuss the feasibility, requirements and design challenges of an OFDM based 5G radio interface that is suitable for mission-critical MTC. The discussion is further accompanied with system-level performance evaluations that are carried out for a factory hall-wide automation scenario with two different floor layouts.

Effects of Heterogeneous Mobility on D2D- and Drone-Assisted Mission-Critical MTC in 5G

mcMTC is starting to play a central role in the industrial Internet of Things ecosystem and have the potential to create high-revenue businesses, including intelligent transportation systems, energy/ smart grid control, public safety services, and high-end wearable applications. Consequently, in the 5G of wireless networks, mcMTC have imposed a wide range of requirements on the enabling technology, such as low power, high reliability, and low latency connectivity. Recognizing these challenges, the recent and ongoing releases of LTE systems incorporate support for lowcost and enhanced coverage, reduced latency, and high reliability for devices at varying levels of mobility. In this article, we examine the effects of heterogeneous user and device mobility -- produced by a mixture of various mobility patterns -- on the performance of mcMTC across three representative scenarios within a multi-connectivity 5G network. We establish that the availability of alternative connectivity options, such as D2D links and drone-assisted access, helps meet the requirements of mcMTC applications in a wide range of scenarios, including industrial automation, vehicular connectivity, and urban communications. In particular, we confirm improvements of up to 40 percent in link availability and reliability with the use of proximate connections on top of the cellular-only baseline.

Deployment Strategies for Ultra-Reliable and Low-Latency Communication in Factory Automation

Factory automation is one of the challenging use cases that the fifth generation, 5G, networks are expected to support. It involves mission-critical machine-type communications, MTC, with requirements of extreme low-latency and ultra-reliable communication to enable real-time control of automation processes in manufacturing facilities. In this paper, we discuss the deployment strategies for the 5G mission-critical MTC solution designed to meet the needs of factory automation applications. The paper analyzes the coverage and capacity aspects based on a series of system-level evaluations considering both noise-limited and interference- limited operations. It further analyzes the related trade-offs to provide insights on the network deployment strategies for a realistic factory scenario.

Optimizing M2M Energy Efficiency in IEEE 802.11ah

In order to efficiently support the Machine-to- Machine (M2M) applications, a new amendment of Wi-Fi standard known as IEEE 802.11ah is introduced. In 802.11ah, several enhanced MAC features are added so as to provide scalability for a large number of stations as well as to reduce the energy consumption compared with the existing Wi-Fi technologies. In this paper, a selected set of 802.11ah MAC features are discussed and optimized mainly from the perspective of energy utilization. Moreover, a new energy-saving mode, FESM, is proposed and analyzed. The evaluations are carried out with a system-level MAC simulator assuming an uplink scenario with sporadic data traffic; and complemented with an in- depth analysis for a selected M2M use case, the farming scenario, along with the energy harvesting potential.