遗传算法优化在MIMO系统工程中的应用

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI:10.23919/SOFTCOM.2017.8115541

I. Leal, M. Alencar, W. Lopes

{"title":"遗传算法优化在MIMO系统工程中的应用","authors":"I. Leal, M. Alencar, W. Lopes","doi":"10.23919/SOFTCOM.2017.8115541","DOIUrl":null,"url":null,"abstract":"This paper presents a technique to increase the data throughput in Multiple Input Multiple Output (MIMO) systems. The technique uses a meta-heuristic to optimize the data throughput and to choose the best solution. The optimization is based on Genetic Algorithms (GA), with the objective of finding out the best antenna configuration to achieve the highest data throughput from the variation of the distance between the antenna array elements and the number of antennas. Simulation results show an increase of more than 15% in the data throughput considering 4×4 MIMO channels.","PeriodicalId":189860,"journal":{"name":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Genetic algorithm optimization applied to the project of MIMO systems\",\"authors\":\"I. Leal, M. Alencar, W. Lopes\",\"doi\":\"10.23919/SOFTCOM.2017.8115541\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a technique to increase the data throughput in Multiple Input Multiple Output (MIMO) systems. The technique uses a meta-heuristic to optimize the data throughput and to choose the best solution. The optimization is based on Genetic Algorithms (GA), with the objective of finding out the best antenna configuration to achieve the highest data throughput from the variation of the distance between the antenna array elements and the number of antennas. Simulation results show an increase of more than 15% in the data throughput considering 4×4 MIMO channels.\",\"PeriodicalId\":189860,\"journal\":{\"name\":\"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/SOFTCOM.2017.8115541\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SOFTCOM.2017.8115541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

提出了一种提高多输入多输出(MIMO)系统数据吞吐量的技术。该技术使用元启发式来优化数据吞吐量并选择最佳解决方案。该优化算法基于遗传算法(GA)，目的是根据天线阵列单元之间的距离和天线数量的变化找出实现最高数据吞吐量的最佳天线配置。仿真结果表明，考虑4×4 MIMO信道，数据吞吐量提高15%以上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Genetic algorithm optimization applied to the project of MIMO systems

This paper presents a technique to increase the data throughput in Multiple Input Multiple Output (MIMO) systems. The technique uses a meta-heuristic to optimize the data throughput and to choose the best solution. The optimization is based on Genetic Algorithms (GA), with the objective of finding out the best antenna configuration to achieve the highest data throughput from the variation of the distance between the antenna array elements and the number of antennas. Simulation results show an increase of more than 15% in the data throughput considering 4×4 MIMO channels.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

自引率

0.00%

发文量