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- W2181780379 abstract "We investigate the QoE-centric heterogeneous network selection problem. Users usually struggle for the maximum throughput when select access network. However, compared to QoS-centric optimization mechanism, in order to get more rational allocation of resources and improve the resource utilization, we seek the QoE optimization method mechanism instead. The core idea of QoE-centric optimization is to allocate network resources according to user needs to make the overall system quality of experience (QoE) improved and reach a stable value at last. In this paper, we first introduce a basic QoE model and then we proposed a QoE game in dynamic environment and analyze its properties. Next, we design a QoE equilibrium learning algorithm. Simulation results show that QoE game framework can effectively improve users QoE and system performance compared with the QoS-centric optimization scheme." @default.
- W2181780379 created "2016-06-24" @default.
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- W2181780379 date "2015-10-01" @default.
- W2181780379 modified "2023-09-27" @default.
- W2181780379 title "User demand-centric distributed wirless resource sharing in dynamic environment: A QoE game perspective" @default.
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- W2181780379 doi "https://doi.org/10.1109/wcsp.2015.7341197" @default.
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