Smart Wireless Radio Environments for the 6G Era. This project aims to revolutionise radio signal propagation and information transfer by developing “smart” wireless radio environments. Using Reconfigurable Intelligent Surface (RIS), the smart wireless network can transmit information without generating new signals but recycling the incoming signal. However, as an emerging technology, fundamental analysis – in terms of rate, reliability, and efficiency – is needed to understand the performance o ....Smart Wireless Radio Environments for the 6G Era. This project aims to revolutionise radio signal propagation and information transfer by developing “smart” wireless radio environments. Using Reconfigurable Intelligent Surface (RIS), the smart wireless network can transmit information without generating new signals but recycling the incoming signal. However, as an emerging technology, fundamental analysis – in terms of rate, reliability, and efficiency – is needed to understand the performance of RIS-empowered wireless networks. Expected outcomes include new communication-theoretic models and the enabling technologies to realise them in practice. These smart environments have the potential to offer “greener” and more "seamless wireless connectivity" for the future wireless network.Read moreRead less
Photonics Platform to Transform Mobile Fronthaul Infrastructure. Future wireless systems of mobile networks and defence platforms will need to offer high-speed, low-delay, reliable connectivity and high bandwidth. With the explosive growth of wireless systems, this creates significant challenges in fronthaul - the link connecting antennas with the signal processors and core network. This project aims to design and develop an innovative fronthaul for wireless systems based on a dynamically reconf ....Photonics Platform to Transform Mobile Fronthaul Infrastructure. Future wireless systems of mobile networks and defence platforms will need to offer high-speed, low-delay, reliable connectivity and high bandwidth. With the explosive growth of wireless systems, this creates significant challenges in fronthaul - the link connecting antennas with the signal processors and core network. This project aims to design and develop an innovative fronthaul for wireless systems based on a dynamically reconfigurable, software-defined photonic platform capable of meeting diverse requirements. The outcomes of this project will help build a scalable fronthaul solution to overcome fundamental challenges and realise cost-effective pathways for transforming how future wireless networks and defence platforms are realised.Read moreRead less
New modulation techniques for future high-mobility wireless communications. Future wireless networks will support huge amounts of mobile data traffic and numbers of terminals. To provide satisfactory service to emerging mass transportation systems such as self-driving cars, high-speed trains, and drones, it will be critical to incorporate the ability for wireless networks to function in high-mobility environments. The project aims to devise novel modulation techniques to support high-mobility co ....New modulation techniques for future high-mobility wireless communications. Future wireless networks will support huge amounts of mobile data traffic and numbers of terminals. To provide satisfactory service to emerging mass transportation systems such as self-driving cars, high-speed trains, and drones, it will be critical to incorporate the ability for wireless networks to function in high-mobility environments. The project aims to devise novel modulation techniques to support high-mobility communications with superior performance. The theoretical advances will be demonstrated using software-defined radios. These outcomes will provide fundamental scientific basis for deployment of future air interfaces. The project will benefit Australia in gaining a leading position in global telecommunications development.Read moreRead less
Low-Complexity Capacity-Scalable Multiple Antenna Wireless Communications. The project aims to develop innovative solutions for low-complexity, capacity-scalable multiple antenna wireless communications, in order to meet future data rate requirements whilst maintaining a practical system at a sustainable cost. By leveraging delay-Doppler domain channel properties and geometric reciprocity, pragmatic transceiver technologies and innovative delay-Doppler domain signal processing algorithms for cha ....Low-Complexity Capacity-Scalable Multiple Antenna Wireless Communications. The project aims to develop innovative solutions for low-complexity, capacity-scalable multiple antenna wireless communications, in order to meet future data rate requirements whilst maintaining a practical system at a sustainable cost. By leveraging delay-Doppler domain channel properties and geometric reciprocity, pragmatic transceiver technologies and innovative delay-Doppler domain signal processing algorithms for channel prediction and multi-user transmissions will be developed. The outcomes of the project are expected to significantly improve users' data rates with low system complexity and reduced signalling overhead for future wireless communications.Read moreRead less
Harnessing hidden diversity gains of cellular networks. This project aims to investigate novel communication schemes that can increase the capacity of mobile networks. The demand for wireless data by the Australian mobile users is expected to exceed the capacity of the Australian mobile networks. The expected outcomes of this project are communication schemes that can double the reliability of wireless links in mobile networks, and thereby significantly improve the capacity of mobile networks in ....Harnessing hidden diversity gains of cellular networks. This project aims to investigate novel communication schemes that can increase the capacity of mobile networks. The demand for wireless data by the Australian mobile users is expected to exceed the capacity of the Australian mobile networks. The expected outcomes of this project are communication schemes that can double the reliability of wireless links in mobile networks, and thereby significantly improve the capacity of mobile networks in Australia and around the world. Significant benefits are expected in all areas of society that rely on wireless communication of data.Read moreRead less
RAINBOW - RAdIo Networks Based On machine learning for situation aWareness. This project aims to develop software-defined and cognitive radio networks (SDR) to detect adversarial communications and achieve situation awareness on radio frequency (RF) spectrum. The project will generate novel SDR architectures and new attack-resistant detection algorithms through innovative approaches combining machine learning and game theory. Expected outcomes include a strategic alliance between the University ....RAINBOW - RAdIo Networks Based On machine learning for situation aWareness. This project aims to develop software-defined and cognitive radio networks (SDR) to detect adversarial communications and achieve situation awareness on radio frequency (RF) spectrum. The project will generate novel SDR architectures and new attack-resistant detection algorithms through innovative approaches combining machine learning and game theory. Expected outcomes include a strategic alliance between the University of Melbourne and the Northrop Grumman Corporation. Among significant benefits, the project will improve cybersecurity of RF spectrum as a national asset, help protect critical infrastructure relying on wireless networks such as telecommunications and defence, and build skills in cybersecurity and Artificial Intelligence.Read moreRead less
Learning the Focus of Attention to Detect Distributed Coordinated Attacks. Cyber security analysts need to detect and respond to attacks as soon as possible, to minimise the damage attackers can inflict. However, the growth in highly distributed attacks that span multiple networks has meant that massive volumes of data need to be analysed. While machine learning techniques can help filter the data, we need techniques that can automatically provide a focus of attention for analysts on the most re ....Learning the Focus of Attention to Detect Distributed Coordinated Attacks. Cyber security analysts need to detect and respond to attacks as soon as possible, to minimise the damage attackers can inflict. However, the growth in highly distributed attacks that span multiple networks has meant that massive volumes of data need to be analysed. While machine learning techniques can help filter the data, we need techniques that can automatically provide a focus of attention for analysts on the most relevant observations. Our aim is to devise a novel suite of attention mechanisms that can focus the search of machine learning techniques for cyber security. The results of this project will improve the accuracy and efficiency of detecting distributed attacks across multiple networks.Read moreRead less
Massive Data Reading with Mobile Data Collectors for the Internet of Things. The Internet of Things (IoT) supports the connectivity of almost everything including powerless simple devices (such as radio frequency identification (RFID) tags), making it an indispensable technology for future industry and business. This project is to develop systematic and cost-effective approaches by leveraging existing cellular networks for the connectivity of simple sensors/devices using mobile data collectors ( ....Massive Data Reading with Mobile Data Collectors for the Internet of Things. The Internet of Things (IoT) supports the connectivity of almost everything including powerless simple devices (such as radio frequency identification (RFID) tags), making it an indispensable technology for future industry and business. This project is to develop systematic and cost-effective approaches by leveraging existing cellular networks for the connectivity of simple sensors/devices using mobile data collectors (such as smart phones) so that their information becomes available to IoT applications via cellular systems. For example, products’ information stored in RFID tags or power-limited sensors' data can be provided to logistic or IoT applications, respectively, without building dedicated systems via existing cellular systems.Read moreRead less
5G and the Future of Public Telecommunications. This project aims to examine the rollout of 5G and assess the implications of this emerging technology for public telecommunications from the perspective of multiple stakeholders (including emergency services). 5G will radically transform the role and function of the telecommunications sector, and this project will examine the evolution of public telecommunications as part of this larger transformation. It will provide an evidence base for stakehol ....5G and the Future of Public Telecommunications. This project aims to examine the rollout of 5G and assess the implications of this emerging technology for public telecommunications from the perspective of multiple stakeholders (including emergency services). 5G will radically transform the role and function of the telecommunications sector, and this project will examine the evolution of public telecommunications as part of this larger transformation. It will provide an evidence base for stakeholders and chart a new role for public telecommunications during a period of structural change. It will also help scholars reconceptualise core tenets of public telecommunications policy. Benefits include the more efficient use of public resources in the telecommunications sector.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less