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- W4290682997 abstract "One of the main goals of the future wireless networks is improving the users quality of experience (QoE). In this paper, we consider the problem of QoE-based resource allocation in the downlink of a massive multiple-input multiple-output (MIMO) heterogeneous network (HetNet). The network consists of a macro cell with a number of small cells embedded in it. The small cells base stations (BSs) are equipped with a few antennas, while the macro BS is equipped with a massive number of antennas. We consider the two services Video and Web Browsing and design the beamforming vectors at the BSs. The objective is to maximize the aggregated Mean Opinion Score (MOS) of the users under constraints on the BSs powers and the required quality of service (QoS) of the users. We also consider extra constraints on the QoE of users to more strongly enforce the QoE in the beamforming design. To reduce the complexity of the optimization problem, we suggest suboptimal and computationally efficient solutions. Our results illustrate that increasing the number of antennas at the BSs and also increasing the number of small cells antennas in the network leads to a higher user satisfaction." @default.
- W4290682997 created "2022-08-08" @default.
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- W4290682997 date "2018-05-16" @default.
- W4290682997 modified "2023-10-16" @default.
- W4290682997 title "QoE-Aware Beamforming Design for Massive MIMO Heterogeneous Networks" @default.
- W4290682997 doi "https://doi.org/10.48550/arxiv.1805.06499" @default.
- W4290682997 hasPublicationYear "2018" @default.
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