Link adaptation in massive MIMO: Throughput-fairness trade-off

Steve Blandino, C. Desset, A. Chiumento, A. Bourdoux, L. Perre, S. Pollin
{"title":"Link adaptation in massive MIMO: Throughput-fairness trade-off","authors":"Steve Blandino, C. Desset, A. Chiumento, A. Bourdoux, L. Perre, S. Pollin","doi":"10.1109/SCVT.2017.8240314","DOIUrl":null,"url":null,"abstract":"The fifth-generation cellular networks aim to provide uniform and very high throughput. Massive MIMO is widely seen as the most promising 5G radio technology as it promises very high throughput to many users while also guaranteeing fairness, thanks to the channel hardening effect limiting the small-scale fading. A key question though is to what extent this achieved throughput is homogeneous among users, and what degrees of freedom exist to improve fairness. A promising option to provide uniform throughput using Massive MIMO would be a proper power control, based on long-term channel statistics. This paper studies the trade-off between throughput and fairness and it compares different power-allocation schemes. Assuming users affected by log-normal large-scale fading, simulations show that the trade-off is critical. as user-dependent differences caused by large-scale fading are causing unfairness in the system and fairness is achieved at the price of throughput reduction. In a limited large-scale fading scenario, throughput or fairness optimization is possible without incurring huge losses on the other dimension. For heavy large-scale fading scenarios the cost of enforcing fairness is very large: more than 50% of throughput reduction is observed. Despite the critical trade-off, Massive MIMO is shown to be less sensitive to throughput losses when enforcing fairness, compared with traditional communication systems.","PeriodicalId":226008,"journal":{"name":"2017 IEEE Symposium on Communications and Vehicular Technology (SCVT)","volume":"426 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Symposium on Communications and Vehicular Technology (SCVT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCVT.2017.8240314","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

The fifth-generation cellular networks aim to provide uniform and very high throughput. Massive MIMO is widely seen as the most promising 5G radio technology as it promises very high throughput to many users while also guaranteeing fairness, thanks to the channel hardening effect limiting the small-scale fading. A key question though is to what extent this achieved throughput is homogeneous among users, and what degrees of freedom exist to improve fairness. A promising option to provide uniform throughput using Massive MIMO would be a proper power control, based on long-term channel statistics. This paper studies the trade-off between throughput and fairness and it compares different power-allocation schemes. Assuming users affected by log-normal large-scale fading, simulations show that the trade-off is critical. as user-dependent differences caused by large-scale fading are causing unfairness in the system and fairness is achieved at the price of throughput reduction. In a limited large-scale fading scenario, throughput or fairness optimization is possible without incurring huge losses on the other dimension. For heavy large-scale fading scenarios the cost of enforcing fairness is very large: more than 50% of throughput reduction is observed. Despite the critical trade-off, Massive MIMO is shown to be less sensitive to throughput losses when enforcing fairness, compared with traditional communication systems.
大规模MIMO中的链路自适应:吞吐量-公平性权衡
第五代蜂窝网络的目标是提供统一的和非常高的吞吐量。大规模MIMO被广泛认为是最有前途的5G无线电技术,因为它承诺为许多用户提供非常高的吞吐量,同时还保证公平性,这要得益于限制小规模衰落的信道硬化效应。一个关键的问题是,在多大程度上实现的吞吐量在用户之间是同质的,以及存在什么样的自由度来提高公平性。使用大规模MIMO提供统一吞吐量的一个有希望的选择是基于长期信道统计的适当功率控制。本文研究了吞吐量和公平性之间的权衡,并对不同的功率分配方案进行了比较。假设用户受到对数正态大规模衰落的影响,仿真表明权衡是至关重要的。由于大规模衰落导致的用户依赖差异导致了系统的不公平,而公平的实现是以降低吞吐量为代价的。在有限的大规模衰落场景中,吞吐量或公平性优化是可能的,而不会在其他维度上造成巨大损失。对于严重的大规模衰落场景,执行公平性的成本非常大:观察到吞吐量减少了50%以上。尽管存在关键的权衡,但与传统通信系统相比,大规模MIMO在执行公平性时对吞吐量损失的敏感性较低。
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:604180095
Book学术官方微信