2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) 2018
DOI: 10.1109/vtcfall.2018.8690935
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Performance Evaluation and Packet Scheduling in HeNB Deployments

Abstract: The unsupervised and chaotic deployment of Home eNBs (HeNBs) is leading to high levels of interference. To understand the behaviour of the interference of these uncoordinated deployments is vital to reach significant capacity improvement and also to explore opportunities to save energy. This paper considers high and middle interference level scenarios, with a maximum of four users per cell. HeNBs indoor deployed is considered within building. We theoretically analyse the traffic performance of this scenario th… Show more

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Cited by 4 publications
(3 citation statements)
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“…In terms of apartment dimensions, in [28], only an apartment side length of 10 m is considered. In this work, the side length of the apartments (identified as Side in the figures) varies from 5 m to 20 m in steps of 5 m. The maximum number of users per HeNB considered in [28] is four, but the results from [27], [33] show that the maximum system capacity in the considered scenarios was not achieved. This result allowed for exploring the existence of more users per HeNB.…”
Section: A Simulation Scenarios and Parametersmentioning
confidence: 99%
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“…In terms of apartment dimensions, in [28], only an apartment side length of 10 m is considered. In this work, the side length of the apartments (identified as Side in the figures) varies from 5 m to 20 m in steps of 5 m. The maximum number of users per HeNB considered in [28] is four, but the results from [27], [33] show that the maximum system capacity in the considered scenarios was not achieved. This result allowed for exploring the existence of more users per HeNB.…”
Section: A Simulation Scenarios and Parametersmentioning
confidence: 99%
“…Different simulation approaches for the deployment of HeNBs followed by the research community [11], [23]- [27] consider the assumptions and parameters of [28].…”
Section: Introductionmentioning
confidence: 99%
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