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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.03674 |
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| _version_ | 1866913569089519616 |
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| author | Krajsic, Philippe Suess, Viola Cao, Zehong Kowalczyk, Ryszard Franczyk, Bogdan |
| author_facet | Krajsic, Philippe Suess, Viola Cao, Zehong Kowalczyk, Ryszard Franczyk, Bogdan |
| contents | Efficient satellite communications play an enormously important role in all of our daily lives. This includes the transmission of data for communication purposes, the operation of IoT applications or the provision of data for ground stations. More and more, AI-based methods are finding their way into these areas. This paper gives an overview of current research in the field of intelligent optimization of satellite communication. For this purpose, a text-mining based literature review was conducted and the identified papers were thematically clustered and analyzed. The identified clusters cover the main topics of routing, resource allocation and, load balancing. Through such a clustering of the literature in overarching topics, a structured analysis of the research papers was enabled, allowing the identification of latest technologies and approaches as well as research needs for intelligent optimization of satellite communication. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_03674 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication Krajsic, Philippe Suess, Viola Cao, Zehong Kowalczyk, Ryszard Franczyk, Bogdan Networking and Internet Architecture Information Theory Machine Learning Signal Processing Efficient satellite communications play an enormously important role in all of our daily lives. This includes the transmission of data for communication purposes, the operation of IoT applications or the provision of data for ground stations. More and more, AI-based methods are finding their way into these areas. This paper gives an overview of current research in the field of intelligent optimization of satellite communication. For this purpose, a text-mining based literature review was conducted and the identified papers were thematically clustered and analyzed. The identified clusters cover the main topics of routing, resource allocation and, load balancing. Through such a clustering of the literature in overarching topics, a structured analysis of the research papers was enabled, allowing the identification of latest technologies and approaches as well as research needs for intelligent optimization of satellite communication. |
| title | Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication |
| topic | Networking and Internet Architecture Information Theory Machine Learning Signal Processing |
| url | https://arxiv.org/abs/2410.03674 |