University of Oulu

J. -H. Lee, H. Seo, J. Park, M. Bennis, Y. -C. Ko and J. Kim, "Random Access Protocol Learning in LEO Satellite Networks via Reinforcement Learning," 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), Helsinki, Finland, 2022, pp. 1-5, doi: 10.1109/VTC2022-Spring54318.2022.9860594

Random access protocol learning in LEO satellite networks via reinforcement learning

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Author: Lee, Ju-Hyung1,2; Seo, Hyowoon3; Park, Jihong4;
Organizations: 1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, USA
2Department of Electrical and Computer Engineering, Korea University, Seoul, Korea
3Department of Electronics and Communications Engineering, Kwangwoon University, Seoul, Korea
4School of Information Technology, Deakin University, Geelong, VIC, Australia
5Centre for Wireless Communications, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2023021026808
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2023-02-10
Description:

Abstract

A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs) are envisaged to provide a global coverage SAT network in beyond fifth-generation (5G) cellular systems. However, such wide coverage rather makes it difficult to apply existing multiple access protocols, such as random access channel (RACH). To overcome this issue, in this paper, we propose a novel random access solution for LEO SAT networks, called as S-RACH. In contrast to existing standardized protocols, S-RACH is a model-free approach using deep reinforcement learning (DRL). Compared to RACH, we show from various simulations that our proposed S-RACH yields around 2x lower average access delay.

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Series: IEEE Vehicular Technology Conference
ISSN: 1550-2252
ISSN-E: 2577-2465
ISSN-L: 1550-2252
ISBN: 978-1-6654-8243-1
ISBN Print: 978-1-6654-8244-8
Article number: 9860594
DOI: 10.1109/vtc2022-spring54318.2022.9860594
OADOI: https://oadoi.org/10.1109/vtc2022-spring54318.2022.9860594
Host publication: 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
Conference: IEEE Vehicular Technology Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research was funded by the National Research Foun-dation of Korea (2022R1A2C2004869).
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