Title: SAT-DreamOpt – Dynamic resource management for GEO high-throughput satellites

Speaker: Professor Vicky Mak-Hau

Summary:
Modern satellite communication systems are designed to serve dispersed users with changing operational requirements. GEO satellites provides reliable, beyond line of sight communications for a variety of applications including television broadcast, remote area connectivity and maritime and aeronautical broadband services. To provide these services, the satellite operator must allocate satellite resources to meet user demands. A large number of users have to share limited resources such as power and bandwidth.

In this talk, we present FlexBeamOpt, one of the modules within our SatDreamOpt framework. It produces an optimized placement of the spot beams (giving us the location of the centre and the width of each uplink and downlink beam), an optimized “colouring” of each beam (giving us the frequency bandwidth and polarisation allocated to the beam), and an optimized user-to-beam allocation (giving us the user grouping). The suite of algorithms we designed for FlexBeamOpt allows users to trade between precision and computation time.

Biography:
Prof Vicky Mak-Hau leads the Advancing Optimization for Emerging Challenges Research Program at School of Information Technology, Deakin University, overseeing fundamental research in industrial automation and optimization with applications in Transportation, Energy, Defence, SATCOM, and Health. Vicky obtained her PhD from the University of Melbourne, Department of Mathematics and Statistics, in 2002. She completed two years of postdoctoral research training (first at CMIS/CSIRO then at the University of Melbourne) before joining Deakin University in 2004. Vicky has been one of the Chief Investigators in three ARC Discovery Projects and one ARC LIEF project, and is the Principal Investigator of a number of industry funded projects and Deakin internal projects. To date, she has attracted AUD 1.4 Million in CAT-1 research funding, AUD 4.2 Million in CAT 2-3 research funding, and AUD 668K in other direct research funding.

MEETING ID: 873 1557 5255; PASSWORD: 778635

WED 28 AUGUST 2024 16:00-17:00 (AEST, Melbourne Time)