Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate an ....Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate and ubiquitous communication services. This project aims to produce new theoretical results in the field of communication theory, and efficient practical coding schemes for wireless communications.Read moreRead less
Millimetre wave communications for mobile broadband systems. This project aims to develop innovative millimetre wave (mmWave) communication theories and techniques, in order to significantly improve the data rate and network capacity for mobile broadband. Pragmatic transceiver designs, channel estimation algorithms, and network optimisation tools will be developed to quantify the potential of this promising wireless infrastructure. The technologies are designed to exploit the abundant mmWave spe ....Millimetre wave communications for mobile broadband systems. This project aims to develop innovative millimetre wave (mmWave) communication theories and techniques, in order to significantly improve the data rate and network capacity for mobile broadband. Pragmatic transceiver designs, channel estimation algorithms, and network optimisation tools will be developed to quantify the potential of this promising wireless infrastructure. The technologies are designed to exploit the abundant mmWave spectrum and complement the state-of-the-art cellular systems to fulfil the formidable demand for ultra-fast data services. The project outcomes are expected to increase mobile broadband speed by an order of magnitude which can benefit end-user experience and open up new opportunities for network providers.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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100160
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Distributed ultra-fast optical clocks for terabit/s communications. The project aims to enable experiments with full spectrum occupation for transmission over field-deployed optical fibre. Future optical communication systems will have to use the full available spectral bandwidth and advanced multiplexing and modulation to achieve ultimate data capacity over a fibre link. To realistically test such links, experiments must be performed over "real-world" fibre links. By linking three telecoms rese ....Distributed ultra-fast optical clocks for terabit/s communications. The project aims to enable experiments with full spectrum occupation for transmission over field-deployed optical fibre. Future optical communication systems will have to use the full available spectral bandwidth and advanced multiplexing and modulation to achieve ultimate data capacity over a fibre link. To realistically test such links, experiments must be performed over "real-world" fibre links. By linking three telecoms research laboratories, the project will create a close collaboration optical network that enables this research. Anticipated outcomes are the opportunity to conduct research over field-deployed fibre links and to prototype and test communication technology over real-world links, creating a simplified path to commercialisation.Read moreRead less
Dual-band antennas with digitally steerable beams made out of multi-state electromagnetic elements. A collection of antennas required for forthcoming wireless systems will be designed, made and tested. They are ideal for wireless on-body medical devices and wireless transmission of high-quality video and high-speed data. These systems will bring great benefits to wireless users and patients, including better quality of life and convenience.
Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features t ....Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features to analyse in each modality and the hidden relationships between them. The use of deep belief networks has produced promising results in several fields, such as speech recognition, and so this project believes that our approach has the potential to improve both the sensitivity and specificity of breast cancer detection.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.
Wideband Strongly-Truncated Composite Cavity-Resonator Antennas. A rapidly growing demand for fast wireless services calls for wideband communication systems with wideband antennas, which are compact, aesthetically appealing and inexpensive, yet have good performance. With novel concepts, this project aims to produce a new class of antennas that deliver impressive performance (bandwidth and gain) while taking up a dramatically reduced area in a way that was impossible before, increasing a figure ....Wideband Strongly-Truncated Composite Cavity-Resonator Antennas. A rapidly growing demand for fast wireless services calls for wideband communication systems with wideband antennas, which are compact, aesthetically appealing and inexpensive, yet have good performance. With novel concepts, this project aims to produce a new class of antennas that deliver impressive performance (bandwidth and gain) while taking up a dramatically reduced area in a way that was impossible before, increasing a figure-of-merit to up to seven times the state-of-the-art. Their planar geometry and simplicity lead to low cost. This is expected to create new knowledge, design methods and examples, prototypes, test results and guidelines required to design, optimise and make these versatile antennas for emerging robust broadband wireless systems.Read moreRead less
Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the ....Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes. The project will validate the approach on a real-world case study data set concerning the prediction of five-year survival of chronic disease.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100116
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
100 Gbit to 1 Terabit per second optical communication test bed facility. This facility will develop and demonstrate novel optical technologies that will underpin the generation and transmission of a higher-speed Ethernet at 100 Gb/s to 1Terabit/s, and will lead to better broadband and more energy efficient internet. At the foundation of this research will be a test bed with multiple signal sources at data rates above 50 Gbaud.