Abstract:Summary
Reinforcement learning (RL) is being considered for future SATCOM systems due to its inherent capability to self‐learn the optimum decision‐making policy under different scenarios. This capability enables SATCOM systems to manage their resources judiciously and mitigate jamming attacks autonomously without prior jammer type classification. We propose a novel smart reactive SATCOM jamming approach that would not only counter these RL based anti‐jamming strategies but would also be effective against conv… Show more
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