基于小区间干扰对准的双小区MIMO-MAC有限反馈方案

Ruixue Zhou, Tiejun Lv, Wei Long, Hui Gao, Yueming Lu, E. Liu
{"title":"基于小区间干扰对准的双小区MIMO-MAC有限反馈方案","authors":"Ruixue Zhou, Tiejun Lv, Wei Long, Hui Gao, Yueming Lu, E. Liu","doi":"10.1109/ICC.2013.6655413","DOIUrl":null,"url":null,"abstract":"In this paper, we propose two kinds of interference alignment (IA) schemes with limited feedback for the two-cell interfering multi-user multiple-input multiple-output multiple access channel (MIMO-MAC). Since IA with limited feedback results in residual interference for the quantization error, more effective schemes are introduced to reduce the residual interference in this paper compared with the ever work. The first kind of schemes means that the precoding matrices at the transmitters are the quantization value after obtaining the IA close-form solution of the precoding and decoding matrices at the receivers. This kind of schemes has been generalized to K users in this paper, and decoding matrices design is considered to reduce the quantization error to improve the performance. For the second kind of schemes, the beamforming vectors are chosen in the codebooks directly which guarantee the inter-cell interference (ICI) are most aligned. Monte-Carlo simulations illustrate that the proposed schemes outperform the existing schemes.","PeriodicalId":6368,"journal":{"name":"2013 IEEE International Conference on Communications (ICC)","volume":"40 1","pages":"5214-5218"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Limited feedback schemes based on inter-cell interference alignment in two-cell interfering MIMO-MAC\",\"authors\":\"Ruixue Zhou, Tiejun Lv, Wei Long, Hui Gao, Yueming Lu, E. Liu\",\"doi\":\"10.1109/ICC.2013.6655413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose two kinds of interference alignment (IA) schemes with limited feedback for the two-cell interfering multi-user multiple-input multiple-output multiple access channel (MIMO-MAC). Since IA with limited feedback results in residual interference for the quantization error, more effective schemes are introduced to reduce the residual interference in this paper compared with the ever work. The first kind of schemes means that the precoding matrices at the transmitters are the quantization value after obtaining the IA close-form solution of the precoding and decoding matrices at the receivers. This kind of schemes has been generalized to K users in this paper, and decoding matrices design is considered to reduce the quantization error to improve the performance. For the second kind of schemes, the beamforming vectors are chosen in the codebooks directly which guarantee the inter-cell interference (ICI) are most aligned. Monte-Carlo simulations illustrate that the proposed schemes outperform the existing schemes.\",\"PeriodicalId\":6368,\"journal\":{\"name\":\"2013 IEEE International Conference on Communications (ICC)\",\"volume\":\"40 1\",\"pages\":\"5214-5218\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Communications (ICC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICC.2013.6655413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Communications (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.2013.6655413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本文针对双单元干扰多用户多输入多输出多址信道(MIMO-MAC),提出了两种有限反馈干扰对准(IA)方案。由于有限反馈的IA会对量化误差产生残差干扰,本文引入了比以往更有效的减小残差干扰的方法。第一类方案是指发射机处的预编码矩阵是接收机处的预编码矩阵和解码矩阵的IA密解后的量化值。本文将这类方案推广到K用户,并考虑了解码矩阵的设计,以减少量化误差,提高性能。对于第二种方案,直接在码本中选择波束形成矢量,保证小区间干扰(ICI)最对齐。蒙特卡罗仿真表明,所提方案优于现有方案。
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
Limited feedback schemes based on inter-cell interference alignment in two-cell interfering MIMO-MAC
In this paper, we propose two kinds of interference alignment (IA) schemes with limited feedback for the two-cell interfering multi-user multiple-input multiple-output multiple access channel (MIMO-MAC). Since IA with limited feedback results in residual interference for the quantization error, more effective schemes are introduced to reduce the residual interference in this paper compared with the ever work. The first kind of schemes means that the precoding matrices at the transmitters are the quantization value after obtaining the IA close-form solution of the precoding and decoding matrices at the receivers. This kind of schemes has been generalized to K users in this paper, and decoding matrices design is considered to reduce the quantization error to improve the performance. For the second kind of schemes, the beamforming vectors are chosen in the codebooks directly which guarantee the inter-cell interference (ICI) are most aligned. Monte-Carlo simulations illustrate that the proposed schemes outperform the existing 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
Signature identification techniques with Zadoff-Chu sequence for OFDM systems Double-talk detection using the singular value decomposition for acoustic echo cancellation Dynamic virtual machine allocation in cloud server facility systems with renewable energy sources Approximate channel block diagonalization for open-loop Multiuser MIMO communications A location-based self-optimizing algorithm for the inter-RAT handover parameters
×
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