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
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
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
Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and red ....Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and reduction strategies prevails. This research aims to develop a theoretical model that can be used to develop robust containment and reduction strategies to mitigate the adverse economic, productivity and safety consequences that materialize from performing rework during the construction of mega transport projects.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
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
Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information t ....Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information through computational intelligence. The expected outcome will be an intelligent asset management platform that provides structured and semantically enriched lifecycle asset information for optimised solutions to help reduce the cost, time and effort in asset information storage and retrieval, and decision-making. Read moreRead less