Learning-Aided Stochastic Network Optimization With State Prediction.

IEEE/ACM Transactions on Networking（2018）

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摘要

We investigate the problem of stochastic network optimization in the presence of state prediction and nonstationarity. Based on a novel state prediction model featured with a distribution-accuracy curve, we develop the predictive learning-aided control (PLC) algorithm, which jointly utilizes historic and predicted network state information for decision making. PLC is an online algorithm that consi...

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关键词

Prediction algorithms,Optimization,Stochastic processes,Predictive models,Estimation,IEEE transactions,Convergence

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