Abstract

A QoS (quality of service) fairness-based slot allocation algorithm is proposed for sink stations in satellite-based sensor systems, which considers the statistical traffic rate and the instantaneous backlog info. Different from the traditional throughput fairness, the considered QoS fairness focuses on the long-term fairness, not the short-term fairness. The delay performance is taken as an example of QoS. With the help of stochastic gradient theory, a unique QoS-aware factor is deduced and used to direct the reallocation of the residual slots after basic allocation. Numerical simulations show that the proposed allocation could improve the long-term fairness in a large ratio, compared with the allocation for short-term fairness.

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