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- W2922180563 abstract "Abstract Dense small-cell deployments of 5G networks require a wireless backhaul to efficiently connect the small cells to the macro base station (BS). We envision a wireless backhaul architecture where cells are grouped into clusters. One small cell per cluster plays the role of “cluster head” connecting to the BS via a millimeter wave (mmWave) multiple-input and multiple-output (MIMO) link; the rest of the small cells in the cluster will then connect to the “cluster head” to reach the BS. We formulate the problem of jointly selecting the cluster heads and the number of BS antennas dedicated to each mmWave MIMO link between the BS and each cluster head to maximize system throughput as an integer linear program (ILP) and prove its NP-hardness. We then propose an O ( l n | S | ) approximation algorithm, where S is the number of small cells. We show via extensive simulations that the algorithm performs very close to the optimal in practice. Last, we show that the algorithm has, on average, more than 40% performance gain compared to previous work." @default.
- W2922180563 created "2019-03-22" @default.
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- W2922180563 date "2019-04-01" @default.
- W2922180563 modified "2023-10-13" @default.
- W2922180563 title "Optimal backhauling for dense small-cell deployments using mmWave links" @default.
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- W2922180563 doi "https://doi.org/10.1016/j.comcom.2019.03.002" @default.
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