Dynamic Downlink Interference Management in LEO Satellite Networks Without Direct Communications

Author:

Yun Jihyeon1ORCID,An Taegun1,Jo Haesung1ORCID,Ku Bon-Jun2,Oh Daesub2ORCID,Joo Changhee1ORCID

Affiliation:

1. Computer Science and Engineering, Korea University, Seoul, South Korea

2. Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea

Funder

institute of infomration and communications technology planning and evaluation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference35 articles.

1. Theoretical and Simulation-based Analysis of Terrestrial Interference to LEO Satellite Uplinks

2. Learning to utilize shaping rewards: A new approach of reward shaping;hu;Proc 34th Int Conf Neural Inf Process Syst,2020

3. Deep Reinforcement Learning-Based Resource Allocation for Satellite Internet of Things with Diverse QoS Guarantee

4. Learning robust rewards with adverserial inverse reinforcement learning;fu;Proc Int Conf Learn Represent,2018

5. Pricing for Past Channel State Information in Multi-Channel Cognitive Radio Networks

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1. On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey;IEEE Open Journal of the Communications Society;2024

2. Exploring InterferenceAware Spectrum Allocation in 6G Cellular Networks using dynamic resource Sharing Algorithm;Proceedings of the 5th International Conference on Information Management & Machine Intelligence;2023-11-23

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