TY - GEN
T1 - Random Access Protocol Learning in LEO Satellite Networks via Reinforcement Learning
AU - Lee, Ju Hyung
AU - Seo, Hyowoon
AU - Park, Jihong
AU - Bennis, Mehdi
AU - Ko, Young Chai
AU - Kim, Joongheon
N1 - Funding Information:
ACKNOWLEDGEMENT This research was funded by the National Research Foundation of Korea (2022R1A2C2004869).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85137804625&partnerID=8YFLogxK
U2 - 10.1109/VTC2022-Spring54318.2022.9860594
DO - 10.1109/VTC2022-Spring54318.2022.9860594
M3 - Conference contribution
AN - SCOPUS:85137804625
T3 - IEEE Vehicular Technology Conference
BT - 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
Y2 - 19 June 2022 through 22 June 2022
ER -