异步MIMO双向中继网络的网络波束形成

Razgar Rahimi, S. Shahbazpanahi
{"title":"异步MIMO双向中继网络的网络波束形成","authors":"Razgar Rahimi, S. Shahbazpanahi","doi":"10.1109/CAMSAP.2017.8313134","DOIUrl":null,"url":null,"abstract":"We consider a single-carrier asynchronous relay network, where two transceivers wish to communicate with the help of multiple multi-antenna relays. In an asynchronous network, the signal transmitted by any of the two transceivers arrives at different relays with significantly different delays. Similarly, the signals forwarded by different relays arrive at the receiver frontend of any of the two transceivers with different delays. In such a network, aiming to minimize the total transmit power consumed in the entire network, we obtain the relay beamforming matrices and the transceivers' transmit powers such that two given date rates at the two transceivers are to be satisfied. We develop a model for the end-to-end channel and use this model to address the network beamforming problem. Assuming symmetric relay beamforming matrices, we present a computationally efficient solution to this problem. The numerical results show that for a given total number of antennas, there is an optimal number of antennas per relays which results in the lowest total power consumption in the entire network.","PeriodicalId":315977,"journal":{"name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network beamforming for asynchronous MIMO two-way relay networks\",\"authors\":\"Razgar Rahimi, S. Shahbazpanahi\",\"doi\":\"10.1109/CAMSAP.2017.8313134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider a single-carrier asynchronous relay network, where two transceivers wish to communicate with the help of multiple multi-antenna relays. In an asynchronous network, the signal transmitted by any of the two transceivers arrives at different relays with significantly different delays. Similarly, the signals forwarded by different relays arrive at the receiver frontend of any of the two transceivers with different delays. In such a network, aiming to minimize the total transmit power consumed in the entire network, we obtain the relay beamforming matrices and the transceivers' transmit powers such that two given date rates at the two transceivers are to be satisfied. We develop a model for the end-to-end channel and use this model to address the network beamforming problem. Assuming symmetric relay beamforming matrices, we present a computationally efficient solution to this problem. The numerical results show that for a given total number of antennas, there is an optimal number of antennas per relays which results in the lowest total power consumption in the entire network.\",\"PeriodicalId\":315977,\"journal\":{\"name\":\"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMSAP.2017.8313134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMSAP.2017.8313134","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

我们考虑一个单载波异步中继网络,其中两个收发器希望在多个多天线中继的帮助下进行通信。在异步网络中,两个收发器中的任何一个发送的信号到达不同的中继,延迟明显不同。同样,由不同中继转发的信号以不同的延迟到达两个收发器中的任何一个的接收器前端。在这种网络中,以使整个网络消耗的总发射功率最小为目标,我们得到了在两个收发器上满足两个给定数据速率的中继波束形成矩阵和收发器的发射功率。我们开发了端到端信道模型,并使用该模型来解决网络波束形成问题。假设中继波束形成矩阵是对称的,我们提出了一个计算效率高的解决方案。数值结果表明,在给定天线总数的情况下,每个中继上存在一个最优天线数,使整个网络的总功耗最低。
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
Network beamforming for asynchronous MIMO two-way relay networks
We consider a single-carrier asynchronous relay network, where two transceivers wish to communicate with the help of multiple multi-antenna relays. In an asynchronous network, the signal transmitted by any of the two transceivers arrives at different relays with significantly different delays. Similarly, the signals forwarded by different relays arrive at the receiver frontend of any of the two transceivers with different delays. In such a network, aiming to minimize the total transmit power consumed in the entire network, we obtain the relay beamforming matrices and the transceivers' transmit powers such that two given date rates at the two transceivers are to be satisfied. We develop a model for the end-to-end channel and use this model to address the network beamforming problem. Assuming symmetric relay beamforming matrices, we present a computationally efficient solution to this problem. The numerical results show that for a given total number of antennas, there is an optimal number of antennas per relays which results in the lowest total power consumption in the entire network.
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
Improved DOA estimators using partial relaxation approach Energy efficient transmission in MIMO interference channels with QoS constraints Restricted update sequential matrix diagonalisation for parahermitian matrices Sparse Bayesian learning with dictionary refinement for super-resolution through time L1-PCA signal subspace identification for non-sphered data under the ICA model
×
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