基于毫米波的无小区毫米波系统的集中混合均衡

J. Kassam, D. Castanheira, A. Silva, R. Dinis, A. Gameiro
{"title":"基于毫米波的无小区毫米波系统的集中混合均衡","authors":"J. Kassam, D. Castanheira, A. Silva, R. Dinis, A. Gameiro","doi":"10.1109/CSNDSP54353.2022.9907988","DOIUrl":null,"url":null,"abstract":"Cell-free massive multiple input multiple output (CFmMIMO) is one of the promising technologies for beyond 5G/6G wireless communications due to its advantages in overcoming the inter-cell interferences constraints in ultra-dense networks. In this paper, we propose a low complexity analog precoder with a centralized hybrid analog-digital multi-user equalizer for millimeter-wave (mmWave) CF mMIMO systems. In the transmitter, a low complexity analog precoder is applied based on the partial channel state information (CSI) knowledge, i.e., only the average angle of departure (AoD) information. While in the centralized hybrid receiver, the central unit (CU) handles all processing that requires access to the global CSI. Herein, the analog coefficients of the equalizer are obtained by minimizing the mean square error (MSE) between the transmit and receive signals using the weighted Frobenius norm as a metric, whereas an optimum linear MSE equalizer is used to get the digital part. We also compare the considered CF scenario with the small cells (SCs) based one for different hybrid schemes. The results show that the proposed precoder combined with the hybrid equalizer can achieve very close results to a fully digital counterpart. Moreover, the performance of the considered CF scenario is better than the SCs based one for all hybrid schemes.","PeriodicalId":288069,"journal":{"name":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"413 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Centralized Hybrid Equalization for Cell Free mMIMO mmWave based Systems\",\"authors\":\"J. Kassam, D. Castanheira, A. Silva, R. Dinis, A. Gameiro\",\"doi\":\"10.1109/CSNDSP54353.2022.9907988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cell-free massive multiple input multiple output (CFmMIMO) is one of the promising technologies for beyond 5G/6G wireless communications due to its advantages in overcoming the inter-cell interferences constraints in ultra-dense networks. In this paper, we propose a low complexity analog precoder with a centralized hybrid analog-digital multi-user equalizer for millimeter-wave (mmWave) CF mMIMO systems. In the transmitter, a low complexity analog precoder is applied based on the partial channel state information (CSI) knowledge, i.e., only the average angle of departure (AoD) information. While in the centralized hybrid receiver, the central unit (CU) handles all processing that requires access to the global CSI. Herein, the analog coefficients of the equalizer are obtained by minimizing the mean square error (MSE) between the transmit and receive signals using the weighted Frobenius norm as a metric, whereas an optimum linear MSE equalizer is used to get the digital part. We also compare the considered CF scenario with the small cells (SCs) based one for different hybrid schemes. The results show that the proposed precoder combined with the hybrid equalizer can achieve very close results to a fully digital counterpart. Moreover, the performance of the considered CF scenario is better than the SCs based one for all hybrid schemes.\",\"PeriodicalId\":288069,\"journal\":{\"name\":\"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)\",\"volume\":\"413 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNDSP54353.2022.9907988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNDSP54353.2022.9907988","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

无小区大规模多输入多输出(CFmMIMO)技术具有克服超密集网络中小区间干扰约束的优势,是超5G/6G无线通信的重要技术之一。在本文中,我们为毫米波(mmWave) CF mMIMO系统提出了一种具有集中式混合模数多用户均衡器的低复杂度模拟预编码器。在发射机中,基于部分信道状态信息(CSI)知识,即只有平均出发角(AoD)信息,采用低复杂度的模拟预编码器。在集中式混合接收器中,中央单元(CU)处理需要访问全局CSI的所有处理。其中,均衡器的模拟系数是通过使用加权Frobenius范数作为度量来最小化发送和接收信号之间的均方误差(MSE)来获得的,而最佳线性MSE均衡器则用于获得数字部分。我们还比较了考虑的CF场景与基于小细胞(SCs)的不同混合方案。结果表明,该预编码器与混合均衡器相结合,可以获得与全数字对应物非常接近的结果。此外,对于所有混合方案,所考虑的CF方案的性能优于基于SCs的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Centralized Hybrid Equalization for Cell Free mMIMO mmWave based Systems
Cell-free massive multiple input multiple output (CFmMIMO) is one of the promising technologies for beyond 5G/6G wireless communications due to its advantages in overcoming the inter-cell interferences constraints in ultra-dense networks. In this paper, we propose a low complexity analog precoder with a centralized hybrid analog-digital multi-user equalizer for millimeter-wave (mmWave) CF mMIMO systems. In the transmitter, a low complexity analog precoder is applied based on the partial channel state information (CSI) knowledge, i.e., only the average angle of departure (AoD) information. While in the centralized hybrid receiver, the central unit (CU) handles all processing that requires access to the global CSI. Herein, the analog coefficients of the equalizer are obtained by minimizing the mean square error (MSE) between the transmit and receive signals using the weighted Frobenius norm as a metric, whereas an optimum linear MSE equalizer is used to get the digital part. We also compare the considered CF scenario with the small cells (SCs) based one for different hybrid schemes. The results show that the proposed precoder combined with the hybrid equalizer can achieve very close results to a fully digital counterpart. Moreover, the performance of the considered CF scenario is better than the SCs based one for all hybrid schemes.
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
期刊最新文献
Adaptive Visible Light Positioning with MSE Inner Loop for Underwater Environment Fibre Optics Biosensors for the Detection of Bacteria – a review Experimental characterization of sub-pixel underwater optical camera communications Energy aware routing protocol for sparse underwater acoustic wireless sensor network iDAM: A Distributed MUD Framework for Mitigation of Volumetric Attacks in IoT Networks
×
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