标题:SDN-Based Hierarchical Agglomerative Clustering Algorithm for Interference Mitigation in Ultra-Dense Small Cell Networks
作者:Yang, Guang; Cao, Yewen; Esmailpour, Amir; Wang, Deqiang
作者机构:[Yang, Guang; Cao, Yewen; Wang, Deqiang] Shandong Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China.; [Esmailpour, Amir] Univ New Have 更多
通讯作者:Yang, Guang
通讯作者地址:[Yang, G]Shandong Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China.
来源:ETRI JOURNAL
出版年:2018
卷:40
期:2
页码:227-236
DOI:10.4218/etrij.2017-0084
关键词:Hierarchical agglomerative clustering; Interference mitigation;; Software-defined networking; Ultra-dense small cell networks
摘要:Ultra-dense small cell networks (UD-SCNs) have been identified as a promising scheme for next-generation wireless networks capable of meeting the ever-increasing demand for higher transmission rates and better quality of service. However, UD-SCNs will inevitably suffer from severe interference among the small cell base stations, which will lower their spectral efficiency. In this paper, we propose a software-defined networking (SDN)-based hierarchical agglomerative clustering (SDN-HAC) framework, which leverages SDN to centrally control all sub-channels in the network, and decides on cluster merging using a similarity criterion based on a suitability function. We evaluate the proposed algorithm through simulation. The obtained results show that the proposed algorithm performs well and improves system payoff by 18.19% and 436.34% when compared with the traditional network architecture algorithms and non-cooperative scenarios, respectively.
收录类别:EI;SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045380783&doi=10.4218%2fetrij.2017-0084&partnerID=40&md5=d364c6dccfb1ac36369274f50f1d4910
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