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Author:

Hackett, Timothy Michael

Title:

Applying artificial intelligence to space communications networks: Cognitive real-time link layer adaptations through rapid orbit planning

Graduate Program:

Electrical Engineering

Keywords:

artificial neural networks
neural networks
modulation
encoding
cognitive radio
space communications
machine learning
reinforcement learning
scheduling
block scheduling
demand access scheduling
beacon tone
network simulation
coverage statistics
mean pass time
mean gap time
max gap time
mean passes per day
artificial intelligence
software-defined radio
Deep Space Network

File:

Download Hackett-Dissertation_Final.pdf

Committee Members:

Sven G Bilen, Dissertation Advisor/Co-Advisor
Sven G Bilen, Committee Chair/Co-Chair
Julio Urbina, Committee Member
Viveck Ramesh Cadambe, Committee Member
Mark P Mahon, Outside Member
Alexander M. Wyglinski, Special Member