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Abstract program code

We’re powering the next wave of networks through industry-focused, collaborative research.

Our research

Our research includes developing intelligent protocols and applications for current and emerging network technologies, such as; Open RAN, SDN, Vehicular, Drone and IoT/Sensor networks. We are exploring how AI and ML-based strategies could enhance the performance of the above networks and develop new intelligent application and services. We’re also exploring security issues in Wireless networks and developing new strategies to mitigate the impact of attacks.

Software defined network architecture and protocol design for next gen wireless networks

Wireless networks have rapidly evolved over three generations reaching the current 5G wireless networking standard. A key enabling technology in 5G is Software Defined Networking (SDN) which enables for a more rapid innovation in the world of networking. SDN not only enables wireless networks to evolve quickly, but it provides the building blocks to allow them to operate much more efficiently and intelligently through the integration of AI/Machine Learning (ML) strategies. Our researchers are investigating how different AI/ML strategies can be used to increase the scalability, operational efficiency and security of wireless networks.

Enabling mission critical communications over wireless networks

The way we communicate, socialise and conduct our daily work has been transformed by wireless networks. However, many applications have been designed with one key limitation – lack of network reliability. With the emergence of 5G, there is the promise of high-level capacity and reliability which would benefit a diverse range of applications.  Mission Critical applications must operate over networks which have high levels of reliability to avoid catastrophic outcomes such as loss of life. Can wireless networks be made reliable and agile enough to run Mission Critical applications? This project will conduct detailed investigation in the various layers of the current wireless communications stack and propose new models, algorithms and protocols which aim to enhance the reliability of wireless networks and reduce communications latency.

IoT enabled Digital Twin MPC system development for industry 4.0 applications

Digital Twin technologies are rapidly growing in popularity as they are becoming more widely recognised as an efficient tool for designing and modelling a diverse range of systems. Internet of Things (IoT) is one technology that is seeing significant benefits from Digital Twins. This benefit ranges from modelling of the hardware devices to the simulation and modelling of the communication stack and software programs that drive them. In this project we are exploring the benefits of implementing a data-driven approach to design a Digital Twin for next generation industry 4.0 applications.

GET TO KNOW
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Acknowledgement of Country

UTS acknowledges the Gadigal People of the Eora Nation and the Boorooberongal People of the Dharug Nation upon whose ancestral lands our campuses now stand. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands. 

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