Discovery Early Career Researcher Award - Grant ID: DE150100636
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Efficient Coding for Distributed-input Distributed-output Wireless Systems. Inter-user interference is becoming the dominant bottleneck in state-of-the-art wireless networks. This project aims to address this bottleneck problem by studying a new paradigm, referred to as a Distributed-Input Distributed-Output (DIDO) wireless system, which makes the best use of interference. Results from information theory and modern coding techniques will be advanced to develop new design principles and novel ph ....Efficient Coding for Distributed-input Distributed-output Wireless Systems. Inter-user interference is becoming the dominant bottleneck in state-of-the-art wireless networks. This project aims to address this bottleneck problem by studying a new paradigm, referred to as a Distributed-Input Distributed-Output (DIDO) wireless system, which makes the best use of interference. Results from information theory and modern coding techniques will be advanced to develop new design principles and novel physical-layer coding techniques of DIDO systems, leading to substantially improved throughput, reliability, energy efficiency and robustness. This project aims to develop fundamentally enhanced wireless infrastructure with targeted applications in cellular and wireless networks, satellite communications and wireless sensor networks.Read moreRead less
Safeguarding Future Wireless Communications with Physical Layer Security. Wireless communication is vulnerable to eavesdropping attacks since the transmitted signal enters an open wireless medium allowing anyone to overhear it. This project tackles the challenging problem of secure wireless transmissions through the advancement of a new security technology termed physical layer security. Theoretical frameworks are expected to be developed to understand how this new technology extracts the intri ....Safeguarding Future Wireless Communications with Physical Layer Security. Wireless communication is vulnerable to eavesdropping attacks since the transmitted signal enters an open wireless medium allowing anyone to overhear it. This project tackles the challenging problem of secure wireless transmissions through the advancement of a new security technology termed physical layer security. Theoretical frameworks are expected to be developed to understand how this new technology extracts the intrinsic security from the wireless medium to protect the confidentiality of information transmission. The research outcome is expected to provide for innovative solutions to safeguard Australia's future commercial, government and military wireless networks, and to give pivotal insights into the impact of this new technology on national security.Read moreRead less
Reliable and Seamless Service Provisioning in Mobile Edge Computing . This project aims to develop enabling technologies to provide reliable and seamless services in mobile edge computing environments. This project will develop advanced algorithms with performance guarantees and efficient mechanisms for such service provisioning. The project expects to lay theoretical foundations and generate new knowledge for the provisioning of reliability-aware and mobility-aware services in mobile edge compu ....Reliable and Seamless Service Provisioning in Mobile Edge Computing . This project aims to develop enabling technologies to provide reliable and seamless services in mobile edge computing environments. This project will develop advanced algorithms with performance guarantees and efficient mechanisms for such service provisioning. The project expects to lay theoretical foundations and generate new knowledge for the provisioning of reliability-aware and mobility-aware services in mobile edge computing. The expected outcome of the project is a set of solutions to the myriad of services relying on mobile edge computing including e-Health, autonomous vehicles, and Internet of Things. This project will develop key fundamental technologies to improve Australia’s standing in the international research community.
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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
Physical layer security techniques for multiuser wireless networks. This project will develop innovative new security techniques for wireless networks. The novel techniques we develop will exploit the natural variability of wireless communication channels in order to deliver much-enhanced data security to a whole range of applications over the mobile internet.
Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective ....Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective. In this project, we propose to develop a series of new techniques, such as 1) Android contextual analysis, 2) wrapper-based hill climbing algorithm, and 3) ensemble learning, to solve this problem. The outcomes will help Australia gain cutting edge technologies in adversarial machine learning and mobile security.Read moreRead less
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
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Novel Techniques for Uncoordinated Massive Access in the Internet of Things. The IoT (internet of things) is the backbone of intelligent transportation, healthcare, energy and smart home systems. To accommodate the exponentially increasing number of IoT devices, a dramatic paradigm shift towards non-orthogonal uncoordinated (grant-free) massive access is underway, where devices transmit data opportunistically over shared channel resources. This project aims to develop new receivers for such unc ....Novel Techniques for Uncoordinated Massive Access in the Internet of Things. The IoT (internet of things) is the backbone of intelligent transportation, healthcare, energy and smart home systems. To accommodate the exponentially increasing number of IoT devices, a dramatic paradigm shift towards non-orthogonal uncoordinated (grant-free) massive access is underway, where devices transmit data opportunistically over shared channel resources. This project aims to develop new receivers for such uncoordinated massive access, where the receivers will be trained to identify transmitting devices, recover their data, and resolve any collisions. These outcomes are expected to emerge as a game changer in IoT communications, benefiting national and international industry to meet future telecommunications needs for the IoT.Read moreRead less
Spectrum after Scarcity: Rethinking Radiofrequency Management. Radiofrequency spectrum is the critical input that enables wireless communication. Existing spectrum management tools were constructed to deal with scarcity. This project aims to reconceptualise spectrum management as technological developments reduce scarcity. In four overlapping stages, an international research team aims to investigate the regulatory implications of emerging technologies that share spectrum; conduct fifteen case s ....Spectrum after Scarcity: Rethinking Radiofrequency Management. Radiofrequency spectrum is the critical input that enables wireless communication. Existing spectrum management tools were constructed to deal with scarcity. This project aims to reconceptualise spectrum management as technological developments reduce scarcity. In four overlapping stages, an international research team aims to investigate the regulatory implications of emerging technologies that share spectrum; conduct fifteen case studies of spectrum 'refarming' around the world over the last two decades, including secondary trading, public reallocations and renewals; explore models for dynamic integration of spectrum sharing and refarming; and publish an accessible intellectual history of a unique resource.Read moreRead less