{"title":"基于布谷鸟搜索算法的长期演进(LTE)系统分数频率复用性能优化","authors":"Eman S. Abushabab, M. Khodier, Shereen S. Ismail","doi":"10.1109/ICEDSA.2016.7818545","DOIUrl":null,"url":null,"abstract":"The main goal of this work is to use the Cuckoo Search (CS) algorithm to optimize Fractional Frequency Reuse (FFR) of cellular network systems. FFR is an interference management technique well suited to OFDMA based cellular network systems, such as Long Term Evolution system (LTE). This paper proposes a mechanism that selects the optimal value of inner cell region radius in strict FFR that maximize both throughput and User Satisfaction together using CS algorithm. The CS algorithm has been chosen as it is easy to understand and implement and has limited number of arguments to tune when compared with other optimization algorithms.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Performance optimization of fractional frequency reuse in Long Term Evolution (LTE) systems using Cuckoo Search algorithm\",\"authors\":\"Eman S. Abushabab, M. Khodier, Shereen S. Ismail\",\"doi\":\"10.1109/ICEDSA.2016.7818545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main goal of this work is to use the Cuckoo Search (CS) algorithm to optimize Fractional Frequency Reuse (FFR) of cellular network systems. FFR is an interference management technique well suited to OFDMA based cellular network systems, such as Long Term Evolution system (LTE). This paper proposes a mechanism that selects the optimal value of inner cell region radius in strict FFR that maximize both throughput and User Satisfaction together using CS algorithm. The CS algorithm has been chosen as it is easy to understand and implement and has limited number of arguments to tune when compared with other optimization algorithms.\",\"PeriodicalId\":247318,\"journal\":{\"name\":\"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEDSA.2016.7818545\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEDSA.2016.7818545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance optimization of fractional frequency reuse in Long Term Evolution (LTE) systems using Cuckoo Search algorithm
The main goal of this work is to use the Cuckoo Search (CS) algorithm to optimize Fractional Frequency Reuse (FFR) of cellular network systems. FFR is an interference management technique well suited to OFDMA based cellular network systems, such as Long Term Evolution system (LTE). This paper proposes a mechanism that selects the optimal value of inner cell region radius in strict FFR that maximize both throughput and User Satisfaction together using CS algorithm. The CS algorithm has been chosen as it is easy to understand and implement and has limited number of arguments to tune when compared with other optimization algorithms.