Radio resources and inter-cell interference management in smart grid wireless access networks. Wireless communications is the key enabler of smart grids. The project will deliver novel radio resource allocation protocols with low latency, high radio spectrum efficiency and reliability for radio access networks in smart grids. The project will develop new technologies with a potential to be implemented in future Long Term Evolution (LTE) machine-to-machine (M2M) standards.
An assessment of the fundamental size limits for planar antennas using unconstrained optimisation methods. Portable wireless devices can be reduced in size and battery demands through best practice antenna design. The absolute size limits recently developed for ideal structures will be tested against real printed antenna structures using powerful computational tools and experimental demonstration for sensor networks in health care applications.
Compression of distributed data: bridging the gap between theory and practice. In bushfire and tsunami early warning systems, environmental monitoring and healthcare applications, distributed sensors collect and transmit correlated data. This project will design novel data compression algorithms that exploit this correlation to dramatically increase the performance of existing networks and enable new applications.
Robust Federated Learning for Imperfect Decentralised Data. This project aims to develop a next-generation robust federated learning framework to tackle the challenging scenarios of imperfect decentralised data in real applications, e.g. mobile phones and the Internet of Things (IoT) devices. The outcomes will bring great benefits to a broad range of industry sectors by providing novel large-scale intelligent applications with privacy preservation. The proposed method will advance the developmen ....Robust Federated Learning for Imperfect Decentralised Data. This project aims to develop a next-generation robust federated learning framework to tackle the challenging scenarios of imperfect decentralised data in real applications, e.g. mobile phones and the Internet of Things (IoT) devices. The outcomes will bring great benefits to a broad range of industry sectors by providing novel large-scale intelligent applications with privacy preservation. The proposed method will advance the development of a cutting-edge technique to develop new intelligent applications in a decentralised and privacy-sensitive scenario. This game-changing research will advance current data mining and artificial intelligence research from centralised intelligence to decentralised intelligence with a collaboration network.Read moreRead less
Enabling ultra-reliable and sustainable machine-to-machine communications. This project aims to develop spectrum sharing and power transfer techniques for machine-to-machine communications in future wireless networks. Current wireless networks have high data rate as a priority but cannot deliver ultra-reliable and extended battery life operation for many low data rate machine-type devices. Through proper design of wireless and autonomous machine-to-machine communications, this project expects to ....Enabling ultra-reliable and sustainable machine-to-machine communications. This project aims to develop spectrum sharing and power transfer techniques for machine-to-machine communications in future wireless networks. Current wireless networks have high data rate as a priority but cannot deliver ultra-reliable and extended battery life operation for many low data rate machine-type devices. Through proper design of wireless and autonomous machine-to-machine communications, this project expects to improve quality of life and implement ultra-reliable, intelligent and long lasting machine-type monitoring devices for health, agriculture, mining, wildlife and critical national infrastructure.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100918
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Real-Time Electromagnetic-wave Engineering for Advanced Wireless Systems. This project aims to enable and accelerate the development and deployment of next generation high-speed wireless networks, particularly in high network density areas. It aims to apply real-time electromagnetic signal processing engineering to achieve all-analog mm-wave radio systems for ultrafast wireless systems. Next-generation wireless networks will need to support a 1000-fold increase in data capacity. The mere evoluti ....Real-Time Electromagnetic-wave Engineering for Advanced Wireless Systems. This project aims to enable and accelerate the development and deployment of next generation high-speed wireless networks, particularly in high network density areas. It aims to apply real-time electromagnetic signal processing engineering to achieve all-analog mm-wave radio systems for ultrafast wireless systems. Next-generation wireless networks will need to support a 1000-fold increase in data capacity. The mere evolution of current digital based mobile technologies will be largely insufficient to meet the anticipated demands, and in light of rapid transitions towards mm-wave domain, new disruptive technological solutions are needed. This project aims to provide these new technological devices and systems for the faster deployment of future wireless networks in Australia.Read moreRead less
Optical wireless communications: solving the spectrum crunch. This project aims to make optical wireless communication to handheld mobile receivers a reality by developing systems which combine holographic filters and microsystems to realise a new form of receiver. This will be based on analysis of all of the complex interactions of transmitter, receiver and channel properties. The new receivers will exploit the narrow field of view of holographic optical filters. This project will generate know ....Optical wireless communications: solving the spectrum crunch. This project aims to make optical wireless communication to handheld mobile receivers a reality by developing systems which combine holographic filters and microsystems to realise a new form of receiver. This will be based on analysis of all of the complex interactions of transmitter, receiver and channel properties. The new receivers will exploit the narrow field of view of holographic optical filters. This project will generate knowledge in the fields of communications theory and on the use of holographic filters and microsystems. This solution to the lack of available radio frequency spectrum which conventional wireless face will provide significant practical and commercial benefits.Read moreRead less
Accurate position estimation using intensity-modulated optical signals. Accurate information about the position of a person or device is essential in many situations. However, despite extensive worldwide research, there is still no positioning system suitable for many important indoor applications. The widespread introduction of energy efficient white light emitting diodes (LEDs) for indoor lighting provides an unprecedented opportunity to solve this problem by using these LEDs to transmit signa ....Accurate position estimation using intensity-modulated optical signals. Accurate information about the position of a person or device is essential in many situations. However, despite extensive worldwide research, there is still no positioning system suitable for many important indoor applications. The widespread introduction of energy efficient white light emitting diodes (LEDs) for indoor lighting provides an unprecedented opportunity to solve this problem by using these LEDs to transmit signals from which a receiver can calculate its position. However the theory underlying the design and analysis of position estimation using modulated optical signals does not exist. This project aims to develop this fundamental theoretical basis and apply it to create the accurate indoor positioning systems of the future.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
DC optimisation based synthesis of systems in control, signal processing and wireless communication network. The conceptual advances with new optimisation based solvers to be developed in the area of control, signal processing and wireless communication. Major benefits of this project will be its direct applications to renewable technologies in automobile, health care, digital and communication network industries.