Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866916114765709312 |
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| author | Lim, Chang-Yong Park, Jihong Choi, Jinho Lee, Ju-Hyung Oh, Daesub Kim, Heewook |
| author_facet | Lim, Chang-Yong Park, Jihong Choi, Jinho Lee, Ju-Hyung Oh, Daesub Kim, Heewook |
| contents | In this article, we propose a multi-agent deep reinforcement learning (MADRL) framework to train a multiple access protocol for downlink low earth orbit (LEO) satellite networks. By improving the existing learned protocol, emergent random access channel (eRACH), our proposed method, coined centralized and compressed emergent signaling for eRACH (Ce2RACH), can mitigate inter-satellite interference by exchanging additional signaling messages jointly learned through the MADRL training process. Simulations demonstrate that Ce2RACH achieves up to 36.65% higher network throughput compared to eRACH, while the cost of signaling messages increase linearly with the number of users. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_02350 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks Lim, Chang-Yong Park, Jihong Choi, Jinho Lee, Ju-Hyung Oh, Daesub Kim, Heewook Networking and Internet Architecture Machine Learning In this article, we propose a multi-agent deep reinforcement learning (MADRL) framework to train a multiple access protocol for downlink low earth orbit (LEO) satellite networks. By improving the existing learned protocol, emergent random access channel (eRACH), our proposed method, coined centralized and compressed emergent signaling for eRACH (Ce2RACH), can mitigate inter-satellite interference by exchanging additional signaling messages jointly learned through the MADRL training process. Simulations demonstrate that Ce2RACH achieves up to 36.65% higher network throughput compared to eRACH, while the cost of signaling messages increase linearly with the number of users. |
| title | Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks |
| topic | Networking and Internet Architecture Machine Learning |
| url | https://arxiv.org/abs/2402.02350 |