Learning Emergent Random Access Protocol for LEO Satellite Networks

Author:

Lee Ju-Hyung1ORCID,Seo Hyowoon2ORCID,Park Jihong3ORCID,Bennis Mehdi4ORCID,Ko Young-Chai5ORCID

Affiliation:

1. Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA

2. Department of Electronics and Communications Engineering, Kwangwoon University, Seoul, South Korea

3. School of Information Technology, Deakin University, Geelong, VIC, Australia

4. Centre for Wireless Communications, University of Oulu, Oulu, Finland

5. School of Electrical and Computer Engineering, Korea University, Seoul, South Korea

Funder

Institute of Information & communications Technology Planning & Evaluation (IITP) grant

Korea government (MSIT), Research on LEO Inter-Satellite Links

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Reference42 articles.

1. Towards joint learning of optimal MAC signaling and wireless channel access;valcarce;arXiv 2007 09948,2020

2. Learning values across many orders of magnitude;van hasselt;Proc Adv Neural Inf Process Syst,2016

3. Learning to communicate with deep multi-agent reinforcement learning;foerster;Proc Int Conf Neural Inf Process (NIPS),2016

4. Human-level control through deep reinforcement learning;mnih;Nature,2015

5. Advances in Random Access protocols for satellite networks

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