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Numerous scheduling algorithms have been proposed to optimize variousperformance metrics like throughput, delay and utility in wireless networks.However, these algorithms often require instantaneous access to network stateinformation, which is not always available. While network stability cansometimes be achieved with delayed state information, other performance metricssuch as latency may degrade. Thus, instead of simply stabilizing the system,our goal is to design a framework that can mimic arbitrary schedulingalgorithms with performance guarantees. A naive approach is to make decisionsdirectly with delayed information, but we show that such methods may lead topoor performance. Instead, we propose the Universal Tracking (UT) algorithmthat can mimic the actions of arbitrary scheduling algorithms under observationdelay. We rigorously show that the performance gap between UT and thescheduling algorithm being tracked is bounded by constants. Our numericalexperiments show that UT significantly outperforms the naive approach invarious applications.

Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation