Open AccessCluster splitting and combining in ultra‐dense networks
Author(s) -
Park JaeWan,
Kim EungHyo,
Hong EenKee
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0921
Subject(s) - cluster analysis , computer science , cluster (spacecraft) , throughput , interference (communication) , base station , computer network , scheme (mathematics) , distributed computing , telecommunications , wireless , artificial intelligence , mathematics , channel (broadcasting) , mathematical analysis
The ultra‐dense network (UDN) has been identified as a promising solution to accommodate a tremendously increasing number of traffic. Clustering for small cell base stations is considered as an efficient frequency resource management scheme. In this study, the authors propose a flexible clustering algorithm to achieve traffic load balancing between clusters as well as reduced inter‐cell interference. They implement a malleable cluster configuration with cluster splitting and recombining. Simulation results demonstrate that the proposed clustering technique is useful and practical, providing high average throughput and lowering outage probability.