Prediction-based association control scheme in dense femtocell networks

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...

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Published inPloS one Vol. 12; no. 3; p. e0174220
Main Authors Sung, Nak Woon, Pham, Ngoc-Thai, Huynh, Thong, Hwang, Won-Joo, You, Ilsun, Choo, Kim-Kwang Raymond
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 22.03.2017
Public Library of Science (PLoS)
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Summary: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.
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Conceptualization: NWS. Data curation: NTP. Formal analysis: NWS TH. Funding acquisition: NWS. Investigation: NWS NTP. Methodology: NWS. Project administration: NWS. Resources: NWS. Software: NWS NTP. Supervision: NWS. Validation: WJH IY KKRC. Visualization: TH. Writing – original draft: NWS NTP. Writing – review & editing: NWS NTP TH WJH IY KKRC.
Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0174220