Abstract
Designing a fair and efficient rate allocation scheme to maximize network performance is a challenging issue for deep space networks. Transmission rate not only affects link signal quality, but also affects network performance. In this study, a novel rate allocation framework based on differential game to settle rate allocation problems among different sources in deep space networks is proposed, and rate allocation criteria based on feedback Nash equilibrium solution is formulated. Theoretical analysis and numerical simulation demonstrate our proposed optimal rate allocation scheme can be used to maximize network performance.
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