Reliable bi-directional machine-type communications for smart agriculture. This project aims to develop innovative solutions for agricultural machine-type communications to provide robust and bi-directional coverage for remote agriculture areas with difficult terrain, by leveraging smart-sensor-enabled, energy-efficient uplink transmissions and ultra-reliable downlink transmissions. Machine-type communications have been recognised as a key enabler for the future smart agriculture and smart farms ....Reliable bi-directional machine-type communications for smart agriculture. This project aims to develop innovative solutions for agricultural machine-type communications to provide robust and bi-directional coverage for remote agriculture areas with difficult terrain, by leveraging smart-sensor-enabled, energy-efficient uplink transmissions and ultra-reliable downlink transmissions. Machine-type communications have been recognised as a key enabler for the future smart agriculture and smart farms. The project will use novel agricultural machine-type communication theories and develop test-beds to enable the smart agricultural applications. This is expected to contribute to the crucial communication infrastructures for smart farms, which will lead to higher agricultural productivity and national economy.Read moreRead less
Scheduling and quality of service in Long Term Evolution telecommunications. There is an explosion of mobile telecommunications with over 50 billion connections expected by 2020. The next generation of mobile broadband will be based on a new technology known as Long Term Evolution (LTE) and, in this context, the goal of this project is to improve the efficiency of these systems by developing new techniques for scheduling.
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