Prediction-based association control scheme in dense femtocell networks

PLoS One. 2017 Mar 22;12(3):e0174220. doi: 10.1371/journal.pone.0174220. eCollection 2017.

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.

MeSH terms

  • Algorithms
  • Computer Communication Networks / instrumentation*
  • Costs and Cost Analysis
  • Wireless Technology / instrumentation*

Grants and funding

This research is funded by ‘The Cross-Ministry Giga KOREA Project’ [GK15N0100, 5G mobile communication system development based on mmWave] of the Ministry of Science, ICT and Future Planning, Korea. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.