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
Multiple-input, multiple-output short range optical communications: a broadband solution with virtually unlimited bandwidth. This project will develop new short range communications systems with virtually unlimited bandwidth and combine the speed of optical communications with the convenience of wireless. Applications range from rapid data download to portable devices such as smart phones, to communications within very high speed computers.
Easing the Squeeze: Dynamic and Distributed Resource Allocation with Cognitive Radio. The radio spectrum is a scarce and valuable natural resource which is being squeezed by the rapid growth in wireless communications. Cognitive radios make efficient use of radio spectrum by dynamically reusing frequencies. This requires cognitive radios to sense the local environment and to control the interference caused to existing users of the spectrum. This project will design novel dynamic and distributed ....Easing the Squeeze: Dynamic and Distributed Resource Allocation with Cognitive Radio. The radio spectrum is a scarce and valuable natural resource which is being squeezed by the rapid growth in wireless communications. Cognitive radios make efficient use of radio spectrum by dynamically reusing frequencies. This requires cognitive radios to sense the local environment and to control the interference caused to existing users of the spectrum. This project will design novel dynamic and distributed resource allocation algorithms for cognitive radios in order to significantly improve their performance using techniques from extreme value theory, game theory and mechanism design and large random matrix theory. 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
Real-time internet of thing algorithms with performance guarantees. This project aims to provide efficient, distributed resource allocation algorithms that can perform satisfactorily within time limits imposed by real-time systems. Real-time Internet of Things (IoT) devices will play a significant role in future transport technologies, such as autonomous vehicles and smart traffic management, and will place significant demands upon distributed computing systems to provide timely information upda ....Real-time internet of thing algorithms with performance guarantees. This project aims to provide efficient, distributed resource allocation algorithms that can perform satisfactorily within time limits imposed by real-time systems. Real-time Internet of Things (IoT) devices will play a significant role in future transport technologies, such as autonomous vehicles and smart traffic management, and will place significant demands upon distributed computing systems to provide timely information updates. The computing challenge is to provide reliable, accurate and timely information to IoT devices. The outcomes of this project will directly be beneficial to a variety of IoT applications in transportation, autonomous vehicles, and smart cities. The valuable engineering insights and novel algorithms will support industry, government, and practitioners for future real-time IoT design and deployments.Read moreRead less
Tools and models for measuring and predicting growth in internet addressing and routing complexity. We analyse patterns in the allocation and actual use of Internet Protocol version 4 (IPv4) addresses to predict the technical and market pressures for deployment of IPv6. The utilisation models will help evaluate the potential for emerging markets in scarce IPv4 address prefixes to increase costs to the end-users of Australia's future national broadband network.
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
Coordinated non-coherent wireless for safe and secure networking. Distributed wireless networks have the potential to serve simultaneous users streaming high-definition video, no dead zones, no interference among users and no reduction in data rate as more users are added. This project will provide a solution to the current limitations of distributed wireless networks aiming at user safety and privacy.
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
Discovery Early Career Researcher Award - Grant ID: DE160100020
Funder
Australian Research Council
Funding Amount
$299,000.00
Summary
Green Radio: Increasing Spectral and Energy Efficiency of Wireless Networks. This project aims to develop green radio communications which reduce energy costs and carbon emissions while enabling fast and reliable communications in wireless networks. The new techniques and algorithms to be investigated in the project for green wireless communications were inspired by recent advances in spectrum sharing and energy harvesting. The expected outcomes will have wireless applications including mobile c ....Green Radio: Increasing Spectral and Energy Efficiency of Wireless Networks. This project aims to develop green radio communications which reduce energy costs and carbon emissions while enabling fast and reliable communications in wireless networks. The new techniques and algorithms to be investigated in the project for green wireless communications were inspired by recent advances in spectrum sharing and energy harvesting. The expected outcomes will have wireless applications including mobile communications and sensor networks. New wireless communications protocols, standards and algorithms drawing upon the foundations of modelling and analysis based on communications, mathematics, probability, statistics and optimisation theory may benefit both academia and industry.Read moreRead less