Experimental Validation of Massive MIMO Linearity Enhancement with DPD in Low-SHF-Band for 5G

Tomohiro Kikuma, Takuji Mochizuki, Masashi Hirabe, M. Hayakawa, Daisuke Nose
{"title":"Experimental Validation of Massive MIMO Linearity Enhancement with DPD in Low-SHF-Band for 5G","authors":"Tomohiro Kikuma, Takuji Mochizuki, Masashi Hirabe, M. Hayakawa, Daisuke Nose","doi":"10.1109/VTCFall.2019.8891388","DOIUrl":null,"url":null,"abstract":"Massive multi input and multi output (MIMO) for use in 5th Generation (5G) radio access network (RAN) systems has drawn attention as a key technology. Our research focuses on utilizing massive MIMO as an active antenna system (AAS) in the low super-high-frequency (SHF) band, which is expected to be used for 5G commercial bands relatively soon, and on enhancing spectrum efficiency by spatial multiplexing. In this paper, we introduce our latest developed massive MIMO system which has flexible AAS unit configuration, a newly embedded high-performance digital pre-distortion (DPD) scheme to maintain high signal quality even in the high transmission power range, and improves the spatial multiplexing performance of two AAS units (128 antenna elements) by comparison with that of one AAS unit (64 antenna elements). We evaluate downlink (DL) multi-user (MU) MIMO performance in an anechoic chamber, connecting up to a maximum of eight user equipment (UEs) with 16 layers, with two different dense UE allocation scenarios. From the results, we confirmed a greater performance improvement for two AAS units, particularly in the case of the \"congested\" eight UEs allocation scenario, where the DL SINR reaches 22.9 dB, which has a 4.5 dB gain compared to the DPD-disabled case and a 14.9 dB gain compared to one AAS unit with the DPD-enabled case, respectively. We also confirmed that the developed massive MIMO system can optimize the performance with minimum configuration of AAS units, appropriately according to the environment.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2019.8891388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Massive multi input and multi output (MIMO) for use in 5th Generation (5G) radio access network (RAN) systems has drawn attention as a key technology. Our research focuses on utilizing massive MIMO as an active antenna system (AAS) in the low super-high-frequency (SHF) band, which is expected to be used for 5G commercial bands relatively soon, and on enhancing spectrum efficiency by spatial multiplexing. In this paper, we introduce our latest developed massive MIMO system which has flexible AAS unit configuration, a newly embedded high-performance digital pre-distortion (DPD) scheme to maintain high signal quality even in the high transmission power range, and improves the spatial multiplexing performance of two AAS units (128 antenna elements) by comparison with that of one AAS unit (64 antenna elements). We evaluate downlink (DL) multi-user (MU) MIMO performance in an anechoic chamber, connecting up to a maximum of eight user equipment (UEs) with 16 layers, with two different dense UE allocation scenarios. From the results, we confirmed a greater performance improvement for two AAS units, particularly in the case of the "congested" eight UEs allocation scenario, where the DL SINR reaches 22.9 dB, which has a 4.5 dB gain compared to the DPD-disabled case and a 14.9 dB gain compared to one AAS unit with the DPD-enabled case, respectively. We also confirmed that the developed massive MIMO system can optimize the performance with minimum configuration of AAS units, appropriately according to the environment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
5G低高频带DPD大规模MIMO线性增强实验验证
用于第5代(5G)无线接入网络(RAN)系统的大规模多输入多输出(MIMO)技术作为一项关键技术备受关注。我们的研究重点是利用大规模MIMO作为低超高频(SHF)频段的有源天线系统(AAS),预计将很快用于5G商用频段,并通过空间复用提高频谱效率。在本文中,我们介绍了我们最新开发的大规模MIMO系统,该系统具有灵活的AAS单元配置,一种新的嵌入式高性能数字预失真(DPD)方案,即使在高发射功率范围内也能保持高信号质量,并且与一个AAS单元(64个天线单元)相比,两个AAS单元(128个天线单元)的空间复用性能有所提高。我们在消声室中评估了下行链路(DL)多用户(MU) MIMO性能,最多连接8个16层用户设备(UE),有两种不同的密集UE分配方案。从结果来看,我们证实了两个AAS单元的性能有更大的提高,特别是在“拥塞”的8个ue分配场景中,其中DL SINR达到22.9 dB,与禁用dpd的情况相比,增益为4.5 dB,与启用dpd的AAS单元相比,增益为14.9 dB。我们还证实了所开发的大规模MIMO系统可以根据环境适当地以最小的AAS单元配置来优化性能。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Towards Emergency Braking as a Fail-Safe State in Platooning: A Simulative Approach Online Task Offloading with Bandit Learning in Fog-Assisted IoT Systems Hybrid Localization: A Low Cost, Low Complexity Approach Based on Wi-Fi and Odometry Residual Energy Optimization for MIMO SWIPT Two-Way Relaying System Traffic Forecast in Mobile Networks: Classification System Using Machine Learning
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1