Name
Title | ||
|---|---|---|
A 5G NR based System Architecture for Real-Time Control with Batteryless RFID Sensors |
Abstract | ||
|---|---|---|
The fifth-generation wireless networking (5G) technologies have been developed to meet various time-critical use cases with ultra-reliable, low-latency and massive machine-type communications which are indispensable for tactile Internet applications. Recent advancements in very low-cost and batteryless radio-frequency identification (RFID) sensors have given promises of deploying a massive amount of such sensors for real-time sensing and control applications on a 5G New Radio (NR) network. However, the system design and performance of such applications have not been well studied. This paper proposes a novel system architecture for the representative batteryless RFID touch sensors in generic real-time control applications in a 5G NR mmWave environment. We will discuss the solution using edge computing nodes on the 5G NR base station to the implementation of the proposed system architecture. The real-time performance evaluation with the comparison of the Long-Term Evolution (LTE) networks has shown the effectiveness of the proposed system architecture. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/SysCon47679.2020.9275879 | 2020 IEEE International Systems Conference (SysCon) |
Keywords | DocType | ISSN |
batteryless RFID sensors,fifth-generation wireless networking technologies,time-critical use cases,massive machine-type communications,tactile Internet applications,real-time sensing,5G New Radio network,system design,novel system architecture,representative batteryless RFID touch sensors,real-time control applications,5G NR mmWave environment,5G NR base station,real-time performance evaluation,Long-Term Evolution networks | Conference | 1944-7620 |
ISBN | Citations | PageRank |
978-1-7281-5366-7 | 0 | 0.34 |
References | Authors | |
10 | 1 | |