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- W2547620329 abstract "The user association is still a key technical challenge in small-cell networks due to significantly difference from traditional macro-cell networks. For avoiding blindness of pursuing higher date rate and achieving the more rational user association, a novel method to associate user to small base station (SBS) based on user quality of experience (QoE) is proposed in this paper. The user-cell association is modeled as the 0–1 integer programming problem in SBS networks, and formulated a matching game formulation for optimal user assignment to address the sum-QoE maximization problem. Furthermore, we design a effective cooperative self-optimizing algorithms, greedy transfer matching algorithm (GTMA), to explore the stable point of the game. It is proved that the proposed stable-transfer matching algorithm can converge to a stable matching. Numerical experiments are presented to validate the proposed schemes and show the improvement for the system effectiveness." @default.
- W2547620329 created "2016-11-11" @default.
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- W2547620329 date "2016-05-01" @default.
- W2547620329 modified "2023-10-17" @default.
- W2547620329 title "QoE-aware downlink user association in small cell networks via matching theory" @default.
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- W2547620329 doi "https://doi.org/10.1109/ccece.2016.7726645" @default.
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