Loading [a11y]/accessibility-menu.js
Expectation-Maximization for Scheduling Problems in Satellite Communication | IEEE Conference Publication | IEEE Xplore

Expectation-Maximization for Scheduling Problems in Satellite Communication


Abstract:

In this paper we address unsupervised machine learning for two use cases in satellite communication, which are scheduling problems: (i) Ka-band frequency plan optimizatio...Show More

Abstract:

In this paper we address unsupervised machine learning for two use cases in satellite communication, which are scheduling problems: (i) Ka-band frequency plan optimization and (ii) dynamic configuration of an active antenna array satellite. We apply approaches based on the Expectation-Maximization (EM) framework to both of them. We compare against baselines of currently deployed solutions, and show that they can be significantly outperformed by the EM-based approach. In addition, the approaches can be applied incrementally, thus supporting fast adaptation to small changes in the input configuration.
Date of Conference: 10-15 January 2021
Date Added to IEEE Xplore: 05 May 2021
ISBN Information:
Print on Demand(PoD) ISSN: 1051-4651
Conference Location: Milan, Italy

Funding Agency:


References

References is not available for this document.