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• W2890171446 abstract "A novel mth best average biased received power (ABRP) user association (UA) scheme is proposed for K-tier heterogeneous networks, where a user is associated with the closest base station (BS) of the kth tier having the mth strongest ABRP, . By using stochastic geometry and Poisson point processes, the authors perform the analysis of the UA probability that a typical user is associated with a BS that has the mth strongest ABRP as well as the downlink signal-to-interference-noise ratio (SINR) coverage performance. The obtained results show that, for a given tier k, when the layer's position in the ordered set of ABRPs is not equal to m and the power or density of BSs is relatively small, i.e., , the UA probability increases monotonically with or . Contrarily, it decreases. For the other UA probabilities, the opposite results are achieved. Additionally, the results also show that the coverage probability of the downlink SINR of the tier k always increases with power , which is consistent with the one in the conventionally best ABRP scheme. However, for other tiers, the corresponding downlink SINR coverage probabilities do not behave monotonically with the power ." @default.
• W2890171446 created "2018-09-27" @default.
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• W2890171446 date "2018-09-14" @default.
• W2890171446 modified "2023-10-16" @default.
• W2890171446 title "Non‐best user association scheme and effect on multiple tiers heterogeneous networks" @default.
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• W2890171446 doi "https://doi.org/10.1049/iet-com.2017.1016" @default.
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