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Implementation of a Space Communications Cognitive EngineAlthough communications-based cognitive engines have been proposed, very few have been implemented in a full system, especially in a space communications system. In this paper, we detail the implementation of a multi-objective reinforcement-learning algorithm and deep artificial neural networks for the use as a radio-resource-allocation controller. The modular software architecture presented encourages re-use and easy modification for trying different algorithms. Various trade studies involved with the system implementation and integration are discussed. These include the choice of software libraries that provide platform flexibility and promote reusability, choices regarding the deployment of this cognitive engine within a system architecture using the DVB-S2 standard and commercial hardware, and constraints placed on the cognitive engine caused by real-world radio constraints. The implemented radio-resource allocation-management controller was then integrated with the larger spaceground system developed by NASA Glenn Research Center (GRC).
Document ID
20180002166
Document Type
Presentation
Authors
Hackett, Timothy M. (Pennsylvania State Univ. University Park, PA, United States)
Bilen, Sven G. (Pennsylvania State Univ. University Park, PA, United States)
Ferreira, Paulo Victor R. (Worcester Polytechnic Inst. MA, United States)
Wyglinski, Alexander M. (Worcester Polytechnic Inst. MA, United States)
Reinhart, Richard C. (NASA Glenn Research Center Cleveland, OH, United States)
Date Acquired
April 4, 2018
Publication Date
June 28, 2017
Subject Category
Computer Programming and Software
Space Communications, Spacecraft Communications, Command and Tracking
Report/Patent Number
GRC-E-DAA-TN43995
Meeting Information
IEEE Cognitive Communications for Aerospace Applications(Cleveland, OH)
Funding Number(s)
CONTRACT_GRANT: NNX15AQ41H
WBS: WBS 553323.04.10.08.01.01
CONTRACT_GRANT: NNC14AA01A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
reinforcement learning
cognitive radio
space archtiecture
space
Communications

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