Communications strategies for the internet of things. This project aims to facilitate expanded wireless connectivity by designing novel random access strategies and multilevel channel codes to enable new massive multiple access communication strategies for cellular networks. The internet of things will play a fundamental role in the future of health monitoring and smart energy systems, critical components of human health and carbon emission reduction. Other domains including agriculture, manufac ....Communications strategies for the internet of things. This project aims to facilitate expanded wireless connectivity by designing novel random access strategies and multilevel channel codes to enable new massive multiple access communication strategies for cellular networks. The internet of things will play a fundamental role in the future of health monitoring and smart energy systems, critical components of human health and carbon emission reduction. Other domains including agriculture, manufacturing, home automation and smart cities will be revolutionized by embedded devices communicating wirelessly. This project aims to redesign cellular networks to accommodate billions of embedded devices and thus play an important role in facilitating the internet of things.Read moreRead less
New strategies to transmit data: Coping with exponential growth in demand. The aim of this project is to provide new technologies to facilitate the exponential growth in demand for streaming of digital data. Based on novel techniques combining graph theory, information theory, and coding, this project aims to change the way we encode data, offering significant improvements to the efficiency of communication networks and providing a 10-100 fold increase in transmission speed. If successful this p ....New strategies to transmit data: Coping with exponential growth in demand. The aim of this project is to provide new technologies to facilitate the exponential growth in demand for streaming of digital data. Based on novel techniques combining graph theory, information theory, and coding, this project aims to change the way we encode data, offering significant improvements to the efficiency of communication networks and providing a 10-100 fold increase in transmission speed. If successful this project expects to bring digital transmission improvements which could impact on almost every sector of the economy from education to advanced healthcare. Possible applications include cloud storage for big data, high-definition video streaming, and wide-coverage high-speed mobile broadband.Read moreRead less
Foundations for future wireless networks. Most of us have first-hand experience with temperamental wireless communications devices that don't meet our expectations. This project will deliver new technologies that enable lower costs, through more efficient use of radio spectrum. It will deliver more reliable and higher speed wireless broadband with better coverage, even to highly mobile users.
Discovery Early Career Researcher Award - Grant ID: DE120101266
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Low-complexity factor-graph-based receiver design for bandwidth-efficient communication systems over doubly selective channels. This project aims to solve challenging problems in future wireless communications using graph-based signal processing techniques. It will provide practical solutions for future broadband mobile communications to the bush and high-speed underwater acoustic communications in the oceans that are particularly important to Australia.
Optimising throughput and Delay in network coded systems. This project addresses one main disadvantage of network coding: decoding delay. By solving this issue, we will unlock the true potential of network coding: delivery of high data rates in wireless and wireline networks. This will make network coding an attractive choice for live video streaming and mission-critical delay-sensitive applications.
Fundamental Limits of Wireless Data Transmission over Interference Channels. This project aims to develop interference-resilient wireless data transmission techniques that can significantly improve the reliability and data rate of wireless communications. The expected outcomes of the research include new space-time coding techniques and interference coordination techniques. It is anticipated that the research will support the improvement of high-speed wireless communications and influence the de ....Fundamental Limits of Wireless Data Transmission over Interference Channels. This project aims to develop interference-resilient wireless data transmission techniques that can significantly improve the reliability and data rate of wireless communications. The expected outcomes of the research include new space-time coding techniques and interference coordination techniques. It is anticipated that the research will support the improvement of high-speed wireless communications and influence the development of broadband wireless access solutions.Read moreRead less
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.
Blind separation of mutually correlated sources. This project is aimed at developing novel techniques for blind separation of mutually correlated sources. The expected outcomes will significantly advance the theory of blind source separation and improve the performance of important practical systems, such as densely deployed sensor networks and wireless video surveillance systems.
Network coding over finite rings. Wireless networks are increasing exponentially throughout the world, but are still plagued by delay, jitter, and interference. Advanced algebraic tools are the key to designing novel network coding and relaying schemes, which will overcome these issues and increase the network capacity in terms of sustainable data rates.
Taming uncertainty: a stochastic-geometric foundation for complex wireless networks. This project will improve our understanding of complex networks such as the internet, wireless communication networks and social networks. We will do this by properly studying the impact of the network geometry. The outcomes will be new approaches to managing complex networks to improve both efficiency and performance.