Design of Multi-Gigabit Millimeter Wave Cellular Networks. It has been predicted that within the next ten years trillions of devices will connect to cellular networks and cause a thousand-fold increase in mobile traffic. This will lead to a severe spectrum shortage and congested cellular networks. Large expanses of the millimetre-wave spectrum have the potential to meet the capacity demands of future cellular networks. The project aims to develop the fundamental sciences for millimetre-wave cell ....Design of Multi-Gigabit Millimeter Wave Cellular Networks. It has been predicted that within the next ten years trillions of devices will connect to cellular networks and cause a thousand-fold increase in mobile traffic. This will lead to a severe spectrum shortage and congested cellular networks. Large expanses of the millimetre-wave spectrum have the potential to meet the capacity demands of future cellular networks. The project aims to develop the fundamental sciences for millimetre-wave cellular communications, which thought to be essential for the design of next generation cellular networks with data rates at least three orders of magnitude faster than those in current cellular networks. The research outcomes are expected to provide the foundations and tools for building a future mobile broadband network infrastructure in Australia.Read moreRead less
Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less