密集飞蜂窝的局部最优资源分配算法

C. R. Murthy, K. C.
{"title":"密集飞蜂窝的局部最优资源分配算法","authors":"C. R. Murthy, K. C.","doi":"10.1117/12.2287893","DOIUrl":null,"url":null,"abstract":"Femtocell is a small low power base station for maximizing the indoor coverage and capacity for cellular users. These base stations can serve users with different access policies. As the Macrocell shares its limited resource - spectrum with the underlying Femtocell, there is a need for efficient resource allocation strategy that benefits all types of users, especially when user density is more and depends on the sub-carrier availability, users‟ quality of service requirements. This paper proposes a resource allocation strategy to model different user requirements in a dense environment. The approach selects locally optimal solution based on the users‟ priority and give fair trade-off between various network parameters without degrading the overall system capacity.","PeriodicalId":415022,"journal":{"name":"International Conference on Wireless and Optical Communications","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Locally optimal resource allocation algorithm for dense femtocells\",\"authors\":\"C. R. Murthy, K. C.\",\"doi\":\"10.1117/12.2287893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Femtocell is a small low power base station for maximizing the indoor coverage and capacity for cellular users. These base stations can serve users with different access policies. As the Macrocell shares its limited resource - spectrum with the underlying Femtocell, there is a need for efficient resource allocation strategy that benefits all types of users, especially when user density is more and depends on the sub-carrier availability, users‟ quality of service requirements. This paper proposes a resource allocation strategy to model different user requirements in a dense environment. The approach selects locally optimal solution based on the users‟ priority and give fair trade-off between various network parameters without degrading the overall system capacity.\",\"PeriodicalId\":415022,\"journal\":{\"name\":\"International Conference on Wireless and Optical Communications\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Wireless and Optical Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2287893\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Wireless and Optical Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2287893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

Femtocell是一种小型低功率基站,用于最大限度地为蜂窝用户提供室内覆盖和容量。这些基站可以为具有不同访问策略的用户提供服务。由于Macrocell与底层的Femtocell共享其有限的资源频谱,因此需要有效的资源分配策略,使所有类型的用户受益,特别是当用户密度更高且依赖于子载波可用性时,用户的服务质量要求。本文提出了一种资源分配策略来模拟密集环境中不同的用户需求。该方法根据用户的优先级选择局部最优解,在不降低系统整体容量的前提下,在各种网络参数之间进行公平权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locally optimal resource allocation algorithm for dense femtocells
Femtocell is a small low power base station for maximizing the indoor coverage and capacity for cellular users. These base stations can serve users with different access policies. As the Macrocell shares its limited resource - spectrum with the underlying Femtocell, there is a need for efficient resource allocation strategy that benefits all types of users, especially when user density is more and depends on the sub-carrier availability, users‟ quality of service requirements. This paper proposes a resource allocation strategy to model different user requirements in a dense environment. The approach selects locally optimal solution based on the users‟ priority and give fair trade-off between various network parameters without degrading the overall system capacity.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信