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An Automated Dynamic Of fset for Network Selection in Heterogeneous Networks

An Automated Dynamic Of fset for Network Selection in Heterogeneous Networks

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 An Automa ted Dynamic Of fset for Network Selection in Heterogeneous Networks

Complementing traditional cellular networks with the option of integrated small cells and WiFi access points can be used to further boost the overall traffic capacity and service level. Small cells along with WiFi access points are projected to car r y over 60 percent of all the global da ta traffic by 2015. With the integration of small cells on the radio access network levels, there is a focus on providing operators with more control over small cell selection while reducing the feedback burden. Altogether, these issues motivate the need for innovative distributed and autonomous association policies that operate on each user under the network operator’scontrol, utilizing only partial information, yet achieving near-optimal solutions for the network. In this paper, we propose a load-aware network selection approach applied to automated dynamic offset in heterogeneous networks (HetNets). In particular, we investigate the proper ties of a hierarchical (Stackelberg) Bayesian game framework , in which the macro cell dynamically chooses the offset about the stat e of the channel in order to guide users to perform intelligent network selection decisions between macro cell and small cell networks. We derive analytically the utility related to the channel quality perceived by users to obtain the equilibria, and compare it to the fully centralized (optimal), the full channel state information and the non-cooperative (autonomous) models. Building upon these results, we effectively address the problem of how to intelligently configure a dynamic of fset which optimizes network’s global utilitywhile users maximize their individual utilities


 


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  • Model: PROJ7520
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This product was added to our catalog on Saturday 29 July, 2017.

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