The focus of this paper is dynamic resource allocation algorithms for sharing the limited uplink resources of a future satellite system among many bursty users with varying QoS requirements. The data rates provided to each terminal are selected to differentiate between multiple QoS priority levels, provide fairness, and to maximize system capacity under time-varying channel conditions and traffic loads. The proposed resource schedulers are compared to alternative approaches and shown to provide dramatic improvements in both the average data rates and delay characteristics experienced by the users.
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