{"title":"Antenna selection: A novel approach to improve energy efficiency in massive MIMO systems","authors":"Masoud Arash, Ehsan Yazdian, M. Fazel","doi":"10.1109/ICCKE.2016.7802124","DOIUrl":null,"url":null,"abstract":"Due to take advantage of large number of antennas, massive MIMO systems are able to serve high data rates. On the other hand, using more antennas will rise the hardware power consumption and therefore total power consumption. So, a trade-off between data rate and power consumption is made which can be reflected well in Energy-Efficiency parameter. Considering hardware power consumption results to more realistic model. In this paper, a model for Energy-Efficiency by taking hardware power consumption into account is introduced and then, an antenna selection algorithm is presented to improve Energy-Efficiency. As dimensions of system is high, this algorithm is designed simple. Next, different selection scenario will be investigated and at the end an optimization for a special case will be represented. Our simulations results show significant improvement in Energy-Efficiency for antenna selection case using proposed method.","PeriodicalId":205768,"journal":{"name":"2016 6th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th International Conference on Computer and Knowledge Engineering (ICCKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCKE.2016.7802124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Due to take advantage of large number of antennas, massive MIMO systems are able to serve high data rates. On the other hand, using more antennas will rise the hardware power consumption and therefore total power consumption. So, a trade-off between data rate and power consumption is made which can be reflected well in Energy-Efficiency parameter. Considering hardware power consumption results to more realistic model. In this paper, a model for Energy-Efficiency by taking hardware power consumption into account is introduced and then, an antenna selection algorithm is presented to improve Energy-Efficiency. As dimensions of system is high, this algorithm is designed simple. Next, different selection scenario will be investigated and at the end an optimization for a special case will be represented. Our simulations results show significant improvement in Energy-Efficiency for antenna selection case using proposed method.