In the context of wearable devices and solutions, our lab’s main intervention is related to “reliable and low-latency communication technologies for industrial wearable applications”. We aim to identify, design, and validate the choice of wireless technologies and features that can be deployed in industrial wearable applications to guarantee the service requirements, mainly in terms of latency and reliability. This work is executed under the umbrella of the A-WEAR project, a EU H2020 Marie Sklodowska-Curie Innovative Training Network (ITN)/European Joint Doctorate (EJD) project standing for “A network for dynamic wearable applications with privacy constraints” (http://www.tut.fi/a-wear/).
The emerging market of wearables is expected to grow exponentially in the near future, including devices like smart glasses, watches, clothes, head mounted displays, etc. Various applications are already envisioned for wearable devices, such as smart industries, eHealth, smart cities, etc. In order to satisfy the requirements of the target applications, wearables are expected to co-operate and to be interconnected using suitable wireless technologies.
Motivated by the need to cover the set of emerging services and verticals, the Third Generation Partnership Project (3GPP) defined a new 5G NR feature for the support of the use cases and requirements of mid-end devices that do not strictly fall under the main service classes of 5G (i.e., eMBB, URLLC, and mMTC). This feature was initially called NR-Light, and then changed into NR RedCap for Reduced Capabilities of devices such as wearables, industrial sensors, and surveillance cameras.
- Reviewing cellular features for the support of wearable devices and applications (NR RedCap, Sidelink, etc.).
- Studying the human mobility models in industrial setups.
- Simulating the capabilities of wearable devices and of the proposed features using network simulator 3 (ns-3).