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.
|Title of host publication||2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2022|
|Event||95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring - Helsinki, Finland|
Duration: 2022 Jun 19 → 2022 Jun 22
|Name||IEEE Vehicular Technology Conference|
|Conference||95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring|
|Period||22/6/19 → 22/6/22|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT This research was funded by the National Research Foundation of Korea (2022R1A2C2004869).
© 2022 IEEE.
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics