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Journal Article Prediction-based Association Control Scheme in Dense Femtocell Networks
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Authors
Nak Woon Sung, Ngoc-Thai Pham, Thong Huynh, Won-Joo Hwang, Ilsun You, Kim-Kwang Raymond Choo
Issue Date
2017-03
Citation
PLOS ONE, v.12, no.3, pp.1-23
ISSN
1932-6203
Publisher
Public Library of Science
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1371/journal.pone.0174220
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.
KSP Keywords
Association control, Cell Size, Control scheme, Effective Throughput, Low-cost, Network throughput, Prediction-based, Small cells, base station(BS), dense femtocell networks, mobile users
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY