Architecture for Cognitive Networking within NASA’s Future Space Communications Infrastructure

Clark, Gilbert; Eddy, Wesley M.; Johnson, Sandra K.; Barnes, James L.; Brooks, D. E.

doi:10.2514/6.2016-5725

Cited by 10 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These applications may include disruptive tolerant networking, secure transmissions, and cross-layer optimization. 13 Adaptive waveforms previously run on SCaN Testbed can be integrated to UIS operations so that the maximum data rate is achieved, for example, based on the real-time link margin. 14 Further benefits of optimization and adaptability may be incorporated into system automation by applying cognitive techniques.…”

Section: A Phase II Testing With Scan Testbedmentioning

confidence: 99%

Automated Spacecraft Communications Service Demonstration Using NASA’s SCaN Testbed

Mortensen

Roberts

Reinhart

2018

2018 SpaceOps Conference

View full text Add to dashboard Cite

The traditional paradigm for space mission operations relies on inefficient, highly scripted pre-planned activities between space communications & navigation service providers and user ground mission operations centers. Typically, there is limited or nonexistent automation capabilities on the user spacecraft for requesting space communications services, and on the provider network for request dispositioning and service provisioning. In the past, using these processes for space networks was sufficient with the relatively small number of user spacecraft requesting services. However, with an ever increasing number of satellites launched to orbit, more complex event-driven science objectives, exploration missions involving collaborative platforms, and more distant missions, approaches that improve automation, flexibility and efficiency are needed. This paper describes NASA's recently completed on-orbit demonstration of a new space communications service concept called User Initiated Service, its implementation, results, and a discussion for infusing this innovation into operations.

show abstract

Section: A Phase II Testing With Scan Testbedmentioning

confidence: 99%

Automated Spacecraft Communications Service Demonstration Using NASA’s SCaN Testbed

Mortensen

Roberts

Reinhart

2018

2018 SpaceOps Conference

View full text Add to dashboard Cite

show abstract

“…As a result of above, modern-day wireless networks are moving from static and centralized control to distributed and autonomous networks [38] [3], where the devices may work more dynamically and can opportunistically select the available spectrum by having frequent interactions and information exchanges with their neighboring devices. By autonomous networks, we mean that the control and information are fully distributed and wireless devices have the capabilities of self-organization and adaptability to cope with frequent network changes.…”

Section: A Cognitive Radio: Basic Concept and Importancementioning

confidence: 99%

Time triggered handoff schemes in cognitive radio networks: A survey

Mir

Bhatti

2018

Journal of Network and Computer Applications

View full text Add to dashboard Cite

“…Combined with the current development trend of aerospace, the complete reliance on the ground remote control to deal with on-orbit satellite faults can no longer meet the current development status of satellites. Therefore, it is necessary to seek a more intelligent fault diagnosis solution: the system is required to be able to not only function smoothly under nominal conditions, but also make corresponding stable decisions in response to unexpected situations in order to maintain the safe, reliable and stable operation of satellites [4].…”

mentioning

confidence: 99%

Intelligent fault diagnosis method of spacecraft control system based on sequence data-image mapping

Liang¹,

Liu²,

Liu³

et al. 2024

MFC

View full text Add to dashboard Cite

<p style='text-indent:20px;'>Satellite networking, as the future development direction of aero-space, requires high-precision autonomous fault diagnosis capability for a single satellite. In this paper, aiming at the characteristics of closed-loop fault propagation and high data dimensionality of spacecraft control system, neural network algorithms are conducted to study the fault diagnosis of spacecraft high-dimensional coupled data. Based on the ground test data of a certain spacecraft, this paper converts the high-dimensional sequence data into grayscale images, and then uses Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) to diagnose them respectively. The effectiveness of the methods in this paper is illustrated by comparing and validating them with three non-image-based machine learning algorithms, namely, K-NearestNeighbor, Bayesian classifier, and K-NearestNeighbor based on Principal Component Analysis.</p>

show abstract

Architecture for Cognitive Networking within NASA’s Future Space Communications Infrastructure

Cited by 10 publications

References 6 publications

Automated Spacecraft Communications Service Demonstration Using NASA’s SCaN Testbed

Automated Spacecraft Communications Service Demonstration Using NASA’s SCaN Testbed

Time triggered handoff schemes in cognitive radio networks: A survey

Intelligent fault diagnosis method of spacecraft control system based on sequence data-image mapping

Contact Info

Product

Resources

About