Abstract
Cognitive algorithms for communications systems have been presented in literature, but very few have been integrated into a fielded system, especially space communications systems. In this paper, we describe the implementation of a multi-objective reinforcement-learning algorithm using deep artificial neural networks acting as a radio-resource-allocation controller. The developed software core is generic in nature and can be ported readily to another application. The cognitive engine algorithm implementation was characterized through a series of tests using both a ground-based system and a space-based system. The ground system comprised of engineering-model software-defined radios, commercial modems, and RF equipment emulating the targeted space-to-ground channel. The on-orbit communication system, including a space-based, remotely controlled transmitter, resides on the International Space Station and operates with a ground-based receiver at NASA Glenn Research Center. Through a series of on-orbit tests, the cognitive engine was tested in a highly dynamic channel and its performance is discussed and analyzed.
| Original language | English (US) |
|---|---|
| Article number | 8510837 |
| Pages (from-to) | 825-842 |
| Number of pages | 18 |
| Journal | IEEE Transactions on Cognitive Communications and Networking |
| Volume | 4 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 1 2018 |
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All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Computer Networks and Communications
- Artificial Intelligence
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Implementation and On-Orbit Testing Results of a Space Communications Cognitive Engine. / Hackett, Timothy M.; Bilen, Sven G.; Ferreira, Paulo Victor Rodrigues; Wyglinski, Alexander M.; Reinhart, Richard C.; Mortensen, Dale J.
In: IEEE Transactions on Cognitive Communications and Networking, Vol. 4, No. 4, 8510837, 01.12.2018, p. 825-842.Research output: Contribution to journal › Article
TY - JOUR
T1 - Implementation and On-Orbit Testing Results of a Space Communications Cognitive Engine
AU - Hackett, Timothy M.
AU - Bilen, Sven G.
AU - Ferreira, Paulo Victor Rodrigues
AU - Wyglinski, Alexander M.
AU - Reinhart, Richard C.
AU - Mortensen, Dale J.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Cognitive algorithms for communications systems have been presented in literature, but very few have been integrated into a fielded system, especially space communications systems. In this paper, we describe the implementation of a multi-objective reinforcement-learning algorithm using deep artificial neural networks acting as a radio-resource-allocation controller. The developed software core is generic in nature and can be ported readily to another application. The cognitive engine algorithm implementation was characterized through a series of tests using both a ground-based system and a space-based system. The ground system comprised of engineering-model software-defined radios, commercial modems, and RF equipment emulating the targeted space-to-ground channel. The on-orbit communication system, including a space-based, remotely controlled transmitter, resides on the International Space Station and operates with a ground-based receiver at NASA Glenn Research Center. Through a series of on-orbit tests, the cognitive engine was tested in a highly dynamic channel and its performance is discussed and analyzed.
AB - Cognitive algorithms for communications systems have been presented in literature, but very few have been integrated into a fielded system, especially space communications systems. In this paper, we describe the implementation of a multi-objective reinforcement-learning algorithm using deep artificial neural networks acting as a radio-resource-allocation controller. The developed software core is generic in nature and can be ported readily to another application. The cognitive engine algorithm implementation was characterized through a series of tests using both a ground-based system and a space-based system. The ground system comprised of engineering-model software-defined radios, commercial modems, and RF equipment emulating the targeted space-to-ground channel. The on-orbit communication system, including a space-based, remotely controlled transmitter, resides on the International Space Station and operates with a ground-based receiver at NASA Glenn Research Center. Through a series of on-orbit tests, the cognitive engine was tested in a highly dynamic channel and its performance is discussed and analyzed.
UR - http://www.scopus.com/inward/record.url?scp=85059200867&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059200867&partnerID=8YFLogxK
U2 - 10.1109/TCCN.2018.2878202
DO - 10.1109/TCCN.2018.2878202
M3 - Article
AN - SCOPUS:85059200867
VL - 4
SP - 825
EP - 842
JO - IEEE Transactions on Cognitive Communications and Networking
JF - IEEE Transactions on Cognitive Communications and Networking
SN - 2332-7731
IS - 4
M1 - 8510837
ER -