Development of Hardware-in-Loop Framework for Satellite Communication Self-Healing Networks
Sambrama, Venkata Srirama Rohit Kantheti, Liang C Chu, Erik Blasch, and Shih-Chun Lin

TL;DR
This paper presents a hardware-in-the-loop framework for satellite communication networks that enhances their resilience and self-healing capabilities against interference and jamming, using advanced combining algorithms and real-world testing.
Contribution
It introduces a hardware-in-the-loop testbed for evaluating self-healing satellite networks with adaptive combining algorithms under realistic conditions.
Findings
Improved network reliability under interference
Effective real-world validation on AERPAW testbed
Enhanced signal quality with adaptive combining techniques
Abstract
The use of Low Earth Orbit (LEO) satellites in the next generation (Next-G) communication systems has been gaining traction over the last few years due to their potential for providing global connectivity with low latency. Since they are the closest to the earth they come with their own set of disadvantages including high vulnerability to jamming and interference. To address these issues, this paper introduces a resilient, self-healing network designed to optimize signal quality under dynamic interference and adversarial conditions. The network leverages inter-satellite communication and an intelligent algorithm selection process, incorporating combining techniques like distributed-Maximal Ratio Combining (d-MRC), distributed-Linear Minimum Mean Squared Error Estimation (d-LMMSE), and Selection Combining (SC). These algorithms are selected to improve performance by adapting to changing…
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Interconnection Networks and Systems · Satellite Communication Systems
MethodsSparse Evolutionary Training
