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Prediction-based association control scheme in dense femtocell networks.

ABSTRACT: The deployment of large number of femtocell base stations allows us to extend the coverage and efficiently utilize resources in a low cost manner. However, the small cell size of femtocell networks can result in frequent handovers to the mobile user, and consequently throughput degradation. Thus, in this paper, we propose predictive association control schemes to improve the system's effective throughput. Our design focuses on reducing handover frequency without impacting on throughput. The proposed schemes determine handover decisions that contribute most to the network throughput and are proper for distributed implementations. The simulation results show significant gains compared with existing methods in terms of handover frequency and network throughput perspective.

SUBMITTER: Sung NW

PROVIDER: S-EPMC5362202 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Prediction-based association control scheme in dense femtocell networks.

Sung Nak Woon NW Pham Ngoc-Thai NT Huynh Thong T Hwang Won-Joo WJ You Ilsun I Choo Kim-Kwang Raymond KR

PloS one 20170322 3

The deployment of large number of femtocell base stations allows us to extend the coverage and efficiently utilize resources in a low cost manner. However, the small cell size of femtocell networks can result in frequent handovers to the mobile user, and consequently throughput degradation. Thus, in this paper, we propose predictive association control schemes to improve the system's effective throughput. Our design focuses on reducing handover frequency without impacting on throughput. The prop ...[more]

PMID: 28328992

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