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Ranking CubeSat communication systems using a value-centric framework

This work focuses on the application of a streamlined version of Multi-Attribute Tradespace Exploration (MATE) as a first-order analysis tool to aid in the selection of CubeSat communication systems. As CubeSats have become more capable, their need to support ever-increasing amounts of mission data has become imperative. However, the selection of a communications system is complex endeavor with multiple competing objectives and multiple stakeholders. This already challenging environment is compounded by the fact that CubeSats often operate with miniscule budgets on reduced timelines. So, in order to aid the decision maker while maximizing value, we show that MATE can be applied as a first-order analysis tool. Thesis Supervisor: Kerri Cahoy Title: Assistant Professor of Aeronautics and Astronautics Thesis Supervisor: Deborah Nightingale Title: Professor of the Practice, Aeronautics and Astronautics and Engineering Systems Division Thesis Reader: Donald Rosenfield Title: Senior Lecturer, MIT Sloan School of Management