Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication

TL;DR

This paper reviews recent research on intelligent optimization in satellite communication, highlighting AI-driven methods in routing, resource allocation, and load balancing through a comprehensive literature analysis.

Contribution

It provides a structured overview of current AI-based optimization techniques in satellite communication, identifying key trends, technologies, and research gaps.

Findings

AI methods are increasingly used in satellite communication optimization

Routing, resource allocation, and load balancing are key focus areas

The review highlights emerging technologies and future research needs

Abstract

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.