Kohta Nakamura, T. Tashiro, Keiji Yamamoto, Kenichi Ohno
{"title":"Transmit power control and channel assignment for femto cells in HetNet systems using genetic algorithm","authors":"Kohta Nakamura, T. Tashiro, Keiji Yamamoto, Kenichi Ohno","doi":"10.1109/PIMRC.2015.7343567","DOIUrl":null,"url":null,"abstract":"Interference avoidance between macro and femto cells is necessary in heterogeneous network (HetNet) systems. To solve the issues, we proposed a method that controls not only transmit power but also channel assignment by genetic algorithm. In this paper, we optimize parameters in indoor environment under the constraint from interference from macro networks and evaluate the throughput performance in HetNet Systems by simulation. We also evaluate the calculation time of parameters on the control board as the integrated device. We confirmed the increase of the minimum throughput and the average throughput with less complexity by controlling parameters, comparing with the throughput and calculation time by a method without controlling parameters.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2015.7343567","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
Interference avoidance between macro and femto cells is necessary in heterogeneous network (HetNet) systems. To solve the issues, we proposed a method that controls not only transmit power but also channel assignment by genetic algorithm. In this paper, we optimize parameters in indoor environment under the constraint from interference from macro networks and evaluate the throughput performance in HetNet Systems by simulation. We also evaluate the calculation time of parameters on the control board as the integrated device. We confirmed the increase of the minimum throughput and the average throughput with less complexity by controlling parameters, comparing with the throughput and calculation time by a method without controlling parameters.