期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2019
卷号：7
期号：5
页码：3191-3196
DOI：10.15680/IJIRCCE.2019. 0705098
出版社：S&S Publications
摘要：Wireless cellular networks have seen dramatic growth in number of mobile users. As a result, data
requirements and hence the base-station (BS) power consumption has increased significantly. It in turn adds to the
operational expenditures (OPEX) and also causes global warming. The base stations power consumption in Long Term
Evolution (LTE) has therefore, become a major challenge for vendors to stay green and profitable in competitive
cellular industry. It necessitates novel methods to devise energy efficient communication in LTE. Importance of the
topic has attracted huge research interests worldwide. Energy saving (ES) approaches proposed in the literature can be
broadly classified in categories of energy efficient resource allocation, load balancing, carrier aggregation and
bandwidth expansion. Each of these methods has its own pros and cons leading to a trade-off between ES and other
performance metrics resulting into open research questions. This paper discusses various ES techniques for the LTE
systems and critically analyses their usability through a comprehensive comparative study.
关键词：fraud detection; ensemble learning; naïve bayes; linear SVM;
