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 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.
Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Republic of Korea.
Nak Woon
http://orcid.org/0000-0002-6204-408X
NW
Sung
Department of Information and Communications Engineering, Inje University, Gimhae 50834, Republic of Korea.
Ngoc-Thai
NT
Pham
Department of Electrical Engineering, Tokyo University of Science, Tokyo 125-8585, Japan.
Thong
T
Huynh
Department of Information and Communications Engineering, Inje University, Gimhae 50834, Republic of Korea.
Won-Joo
WJ
Hwang
Department of Information Security Engineering, Soonchunhyang University, Asan-si 31538, Republic of Korea.
Ilsun
I
You
Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX 78249 United States of America.|School of Information Technology & Mathematical Sciences, University of South Australia, Adelaide, SA 5001 Australia.
Kim-Kwang Raymond
KR
Choo
D000465:Algorithms; D003195:Computer Communication Networks / Q000295:instrumentation*; D003365:Costs and Cost Analysis; D059015:Wireless Technology / Q000295:instrumentation*