Architecting space communication networks under mission demand uncertainty
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Architecting Space Communication Networks under Mission Demand Uncertainty (1).pdf
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620.9 KB
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Author(s)
Sanchez Net, Marc
Del Portillo Barrios, Inigo
Cameron, Bruce Gregory
Crawley, Edward F
Date Issued
June 2015
Journal
2015 IEEE Aerospace Conference
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Sanchez Net, Marc, del Portillo, Inigo, Cameron, Bruce, and Crawley, Edward. “Architecting Space Communication Networks Under Mission Demand Uncertainty.” 2015 IEEE Aerospace Conference (June 2015): 1-11.
Version
Author's final manuscript
Abstract
NASAs Space Network has been a successful program that has provided reliable communication and navigation services for three decades. As the third generation of satellites is being launched, alternatives to the current architecture of the system are being studied in order to improve the performance of the system, reduce its costs and facilitate its integration with the Near Earth Network and the Deep Space Network. Within this context, past research has proven the feasibility of efficiently exploring a large space of alternative network architectures using a tradespace search framework. Architecting a space communication network is a complex task that requires consideration of uncertainty, namely (1) factoring in customer demand variability, (2) predicting technology improvements and (3) considering possible budgetary constraints. This paper focuses on adding uncertainty associated with (1) to the existing communications network architecture tool by describing a heuristic-based model to derive mission concept of operations (conops) as a function of communication requirements. The accuracy of the model is assessed by comparing real conops from current TDRSS-supported missions with the predicted concept of operations. The model is used to analyze how customer forecast uncertainty affects the choice of the future network architecture. In particular, four customer scenarios are generated and compared with the current TDRSS capabilities.
MIT Department
Massachusetts Institute of Technology. System Design and Management Program
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/AERO.2015.7119020
