Multi-objective bandwidth and power allocation for energy-efficient uplink communications

Lukai Xu, Guanding Yu, Yuhuan Jiang, Qimei Chen
{"title":"Multi-objective bandwidth and power allocation for energy-efficient uplink communications","authors":"Lukai Xu, Guanding Yu, Yuhuan Jiang, Qimei Chen","doi":"10.1109/PIMRC.2015.7343451","DOIUrl":null,"url":null,"abstract":"This paper investigates joint bandwidth and power allocation for energy-efficient uplink communication in cellular networks. Instead of overall system energy efficiency (EE), we focus on maximizing the EE for each individual user while guaranteeing the quality-of-service. Therefore, a multi-objective optimization problem is formulated. To find its optimal solutions, we first utilize two different methods to convert the multi-objective optimization problem into single objective optimization problems. They are the scalarization method to maximize the weighted summation of users' EE and the max-min method to maximize the minimum EE among users. Then, we develop an effective algorithm based on the sum-of-ratios optimization to solve the scalarization problem, and an algorithm based on the generalized fractional programming to solve the max-min optimization. We also discuss a simple scenario with equivalent bandwidth allocation as a benchmark. Numerical results are provided to validate the effectiveness of the proposed algorithms.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","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.2015.7343451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper investigates joint bandwidth and power allocation for energy-efficient uplink communication in cellular networks. Instead of overall system energy efficiency (EE), we focus on maximizing the EE for each individual user while guaranteeing the quality-of-service. Therefore, a multi-objective optimization problem is formulated. To find its optimal solutions, we first utilize two different methods to convert the multi-objective optimization problem into single objective optimization problems. They are the scalarization method to maximize the weighted summation of users' EE and the max-min method to maximize the minimum EE among users. Then, we develop an effective algorithm based on the sum-of-ratios optimization to solve the scalarization problem, and an algorithm based on the generalized fractional programming to solve the max-min optimization. We also discuss a simple scenario with equivalent bandwidth allocation as a benchmark. Numerical results are provided to validate the effectiveness of the proposed algorithms.
高能效上行通信的多目标带宽和功率分配
本文研究了蜂窝网络中节能上行通信的联合带宽和功率分配。在保证服务质量的同时,我们关注的不是整个系统的能源效率(EE),而是最大化每个用户的能源效率。因此,形成了一个多目标优化问题。为了找到其最优解,我们首先利用两种不同的方法将多目标优化问题转化为单目标优化问题。它们分别是最大化用户情感表达的加权总和的标化方法和最大化用户之间最小情感表达的最大-最小方法。然后,我们提出了一种有效的基于比率和优化的算法来解决标量化问题,以及一种基于广义分数规划的算法来解决最大最小优化问题。我们还讨论了一个具有等效带宽分配的简单场景作为基准。数值结果验证了所提算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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