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 in | PloS one Vol. 12; no. 3; p. e0174220 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
22.03.2017
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 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 |