Rate-Splitting Multiple Access for GEO-LEO Coexisting Satellite Systems: A Traffic-Aware Throughput Maximization Precoder Design
Jaehak Ryu, Aryan Kaushik, Byungju Lee, Wonjae Shin

TL;DR
This paper introduces a novel rate-splitting multiple access scheme with a super-common message for GEO-LEO satellite coexistence, optimizing throughput while mitigating interference and satisfying heterogeneous traffic demands.
Contribution
It proposes a traffic-aware precoder design using RSMA with super-common messages to effectively manage interference and maximize throughput in GEO-LEO satellite systems.
Findings
Ensures seamless connectivity under in-line interference conditions.
Effectively mitigates interference via super-common message decoding.
Adapts to imperfect channel state information for robust performance.
Abstract
The frequency coexistence between geostationary orbit (GEO) and low earth orbit (LEO) satellite systems is expected to be a promising approach for relieving spectrum scarcity. However, it is essential to manage mutual interference between GEO and LEO satellite systems for frequency coexistence. Specifically, \emph{in-line interference}, caused by LEO satellites moving near the line-of-sight path between GEO satellite and GEO users (GUs), can significantly degrade GEO system throughput. This paper put forth a novel rate-splitting multiple access (RSMA) with a super-common message for GEO-LEO coexisting satellite systems (CSS). By employing a super-common message that GUs can decode, GUs can mitigate the in-line interference by successive interference cancellation (SIC). Moreover, we formulate a traffic-aware throughput maximization (TTM) problem to satisfy the heterogeneous traffic…
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Taxonomy
TopicsSatellite Communication Systems · Wireless Communication Networks Research · IoT Networks and Protocols
