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Managing Interference in Satellite Communication

A look at solutions for interference in GEO and LEO satellite systems.

Jaehak Ryu, Aryan Kaushik, Byungju Lee, Wonjae Shin

― 5 min read


Satellite CommunicationSatellite CommunicationInterference Issuesinterference and enhance service.New methods to tackle satellite
Table of Contents

The rise of satellite communication has become a vital part of our modern world, especially with the development of new wireless network technologies. Among these, low Earth orbit (LEO) satellites are gaining attention due to their ability to offer better coverage and faster data transmission compared to traditional geostationary orbit (GEO) satellites. However, as more satellites are launched, managing the limited resources, particularly the radio frequency spectrum, becomes a significant challenge.

In this context, the idea of using both GEO and LEO satellites together is being explored. This approach could help balance the demand for spectrum and improve service quality. But, alongside these benefits, there are issues with Interference between the two types of satellites. When LEO satellites move into the path of signals from GEO satellites, they can cause problems, known as in-line interference, which can reduce the quality of service for users on the ground.

To tackle these issues, new techniques are being developed. One such technique is called Rate-Splitting Multiple Access (RSMA). This method allows for better handling of the signals sent from both types of satellites, making it possible to work around any interference that may occur. The essence of this method is to introduce a shared message that can be decoded by all users, helping to reduce interference and improve overall connectivity.

The Problem of Interference

As the number of satellites increases, the potential for interference also rises. This interference can negatively impact the service delivered to users. When LEO satellites fly in front of the GEO satellites, they can disrupt the signals intended for users on the ground. This is a serious problem because it can lead to poor service, particularly in areas where the two types of satellites are expected to operate together.

To combat this, several strategies have been proposed. Some methods involve creating special zones where LEO satellites cannot operate near GEO satellites to minimize interference. Other strategies adjust the angles that LEO satellites use to transmit, aiming to reduce the amount of signal interference that reaches users. However, these methods often result in coverage gaps for the LEO system, which could ultimately limit the effectiveness of the entire satellite network.

The need for a more flexible and effective solution is clear. Approaches that only focus on protecting the GEO system can inadvertently limit the performance of the LEO satellites. New ideas that allow both systems to operate more cooperatively are necessary.

Introducing RSMA and Traffic-Aware Techniques

RSMA is a promising solution that provides a more efficient way to manage interference between GEO and LEO satellites. By sending a shared message that all users can decode, the system can better handle the impacts of interference. This allows users to benefit from the signals sent from both types of satellites, even when interference occurs.

By implementing this method, users can decode this shared message and then proceed to filter out any interference they might experience. This process helps users achieve better connectivity and maintain higher-quality communication.

Recognizing that users have different data needs is also essential. Some might require more data than others, leading to varying demands. In this context, a technique known as Traffic-Aware Throughput Maximization (TTM) has been proposed to ensure services meet the needs of all users.

TTM focuses on minimizing any unmet data requirements while ensuring that the overall system functions efficiently within its power limitations. By directing resources based on real-time traffic demands and interference levels, the system can adapt and provide consistent service to all users.

The Technical Approach

The use of RSMA and TTM requires a careful and deliberate technical approach. To start, various mathematical models are developed to describe how signals travel from satellites to users. These models help understand the effects of interference and other factors on the performance of the satellite communication systems.

Once the models are in place, simulation and numerical methods are used to analyze how well the proposed solutions perform under different conditions. This analysis helps researchers determine if the new methods can effectively handle both in-line interference and varying user demands.

When implementing RSMA with TTM, the system allocates power dynamically. This adaptability is crucial when dealing with interference. By adjusting how much power is directed to the shared message based on real-time conditions, the system can mitigate interference while maximizing overall throughput.

Numerical Results and Observations

Numerical simulations play a vital role in validating the proposed methods. By creating different scenarios, researchers can observe how well the RSMA and TTM techniques perform against traditional methods.

For example, different systems were tested based on user positions and the amount of interference experienced. It was found that the RSMA and TTM combination significantly improved the ability to meet users' data needs, even when the channels caused issues due to interference.

The results indicated that the proposed methods could maintain a high level of service quality across various conditions. Compared to conventional approaches, the new methods showed a marked improvement in fulfilling user demands and ensuring seamless communication.

Conclusion

As satellite communication continues to evolve, the integration of GEO and LEO systems presents both opportunities and challenges. Effective interference management and the ability to adapt to user demands are crucial for maximizing the benefits of these satellite systems.

The introduction of RSMA along with traffic-aware techniques provides a promising path forward. By allowing for more flexible handling of interference and adapting to user needs, these methods could significantly enhance satellite communication reliability and efficiency.

As more satellites are launched into orbit, the ability to navigate these challenges will only become more important. Continued research and development in this area will ensure that satellite systems can meet the growing demand for connectivity, providing users with the service they require to thrive in an increasingly connected world.

Original Source

Title: Rate-Splitting Multiple Access for GEO-LEO Coexisting Satellite Systems: A Traffic-Aware Throughput Maximization Precoder Design

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 demands of users by minimizing total unmet throughput demands (or user dissatisfaction). By doing so, the TTM precoder can be flexibly adjusted according to the interference leakage from LEO satellites to GUs and target traffic demands. Numerical results confirm that our proposed method ensures seamless connectivity even in the GEO-LEO in-line interference regime under imperfect channel state information (CSI) at both the transmitter and receiver.

Authors: Jaehak Ryu, Aryan Kaushik, Byungju Lee, Wonjae Shin

Last Update: 2024-08-04 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2408.01997

Source PDF: https://arxiv.org/pdf/2408.01997

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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