PhD student position: Digital Twins for Energy Efficient Wireless NetworksThèse posted 4 semaines il y a
Most applications now use wireless communications, even critical applications can operate over a wireless infrastructure. We are already involved in the RAW working group at the IETF to design the new protocols for these real-time networks. We have defined scenarios  and management features  for this type of network. The achievements of the PhD student are expected to fit in the RAW working group at the IETF (https://datatracker.ietf.org/wg/raw).
Digital twins are a popular concept for Industry 4.0 . They model real processes in manufac- turing systems to enable predictive maintenance and continuous optimization. More recently, they have been proven to be useful for networks . Indeed, modern network architectures exploit the Software Defined Networking (SDN) paradigm , where a collection of controllers orchestrate the network. To our mind, a digital twin represents a key building block for this SDN architecture.
We will explore how digital twins could improve the efficiency of a wireless network infrastruc- ture. Unfortunately, wireless environments are known to be lossy, with time-variant characteristics. While many models exist for the link quality , radio propagation . However, a tradeoff between accuracy and computational complexity exists, and a unified framework has to be proposed. Finally, the PhD candidate will also explore how measurements  to feed the DT can be implemented in a wireless network to be energy-efficient.