Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication
It provides a structured overview for researchers and practitioners in satellite communication, but is incremental as a review paper.
This paper conducted a text-mining literature review to analyze current research on AI-based optimization in satellite communication, identifying key topics like routing, resource allocation, and load balancing to structure the field and highlight research needs.
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.