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- W2170717320 abstract "Throughput optimal scheduling policies in general require the solution of a complex and often NP-hard optimization problem. Related literature has shown that in the context of time-varying channels, randomized scheduling policies can be employed to reduce the complexity of the optimization problem but at the expense of a memory requirement that is exponential in the number of data flows. In this paper, we consider a Linear-Memory Randomized Scheduling Policy (LM-RSP) that is based on a pick-and-compare principle in a time-varying network with $N$ one-hop data flows. For general ergodic channel processes, we study the performance of LM-RSP in terms of its stability region and average delay. Specifically, we show that LM-RSP can stabilize a fraction of the capacity region. Our analysis characterizes this fraction as well as the average delay as a function of channel variations and the efficiency of LM-RSP in choosing an appropriate schedule vector. Applying these results to a class of Markovian channels, we provide explicit results on the stability region and delay performance of LM-RSP." @default.
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- W2170717320 date "2009-12-01" @default.
- W2170717320 modified "2023-09-23" @default.
- W2170717320 title "On Stability Region and Delay Performance of Linear-Memory Randomized Scheduling for Time-Varying Networks" @default.
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- W2170717320 doi "https://doi.org/10.1109/tnet.2009.2017742" @default.
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