{"title":"Proactive algorithm to reduce power consumption and handovers in heterogeneous mobile networks","authors":"M. Nahas, M. Sabati, Rana Kanso, M. Azizi","doi":"10.1109/UEMCON.2017.8249011","DOIUrl":null,"url":null,"abstract":"Energy consumption of communication and cellular networks has recently received increased attention in the research community. Moreover, a large number of base stations (BSs) have been deployed in order to meet these demands on cellular traffic. This leads to considerable increase in the operational cost and contributes as a major portion of the energy consumption of cellular networks. Therefore, network operators are considering how to reduce the energy consumption and design “Green Communication”. The concept of Green Communication is to manage energy consumption and maintain reasonable costs while keeping high quality of service and benefits. In this paper, we present some techniques for reducing power consumption by developing solutions in terms of the network architecture and the base stations components. We use some of these solutions to develop and implement a novel algorithm that combines Cell Zooming and Heterogeneous Networks with many types of base station while taking into consideration user's mobility. The efficiency and the power management of our algorithm, especially in high traffic networks, are achieved and approved by simulations.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UEMCON.2017.8249011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Energy consumption of communication and cellular networks has recently received increased attention in the research community. Moreover, a large number of base stations (BSs) have been deployed in order to meet these demands on cellular traffic. This leads to considerable increase in the operational cost and contributes as a major portion of the energy consumption of cellular networks. Therefore, network operators are considering how to reduce the energy consumption and design “Green Communication”. The concept of Green Communication is to manage energy consumption and maintain reasonable costs while keeping high quality of service and benefits. In this paper, we present some techniques for reducing power consumption by developing solutions in terms of the network architecture and the base stations components. We use some of these solutions to develop and implement a novel algorithm that combines Cell Zooming and Heterogeneous Networks with many types of base station while taking into consideration user's mobility. The efficiency and the power management of our algorithm, especially in high traffic networks, are achieved and approved by simulations.