{"title":"基于天线选择的大规模MIMO系统干扰对准","authors":"Zhiyuan Shi, Xiaopeng Zhu, Yifeng Zhao, Lianfeng Huang","doi":"10.1109/ICCSE.2015.7250318","DOIUrl":null,"url":null,"abstract":"This paper presents an anti-interference method of massive multi-input multi-output (Massive MIMO) based on antenna selection. Assume that both the base station (BS) and mobile station (MS) can acquire real-time channel state information (CSI), the transmitter and receiver select a set of antennas to transmit signals according to the optimization criterion of maximum channel capacity using an improved distributed antenna selection algorithm with low complexity. After antenna selection, the interference from different spatial data flow is then aligned in one direction or into one subspace, leaving most of the spatial degrees of freedom for useful signals. Simulation results show that the proposed scheme achieves considerably better performance than the zero-forcing (ZF) precoding solution, this advantage is especially obvious in a high SNR regime.","PeriodicalId":311451,"journal":{"name":"2015 10th International Conference on Computer Science & Education (ICCSE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Interference alignment based on antenna selection for massive MIMO system\",\"authors\":\"Zhiyuan Shi, Xiaopeng Zhu, Yifeng Zhao, Lianfeng Huang\",\"doi\":\"10.1109/ICCSE.2015.7250318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an anti-interference method of massive multi-input multi-output (Massive MIMO) based on antenna selection. Assume that both the base station (BS) and mobile station (MS) can acquire real-time channel state information (CSI), the transmitter and receiver select a set of antennas to transmit signals according to the optimization criterion of maximum channel capacity using an improved distributed antenna selection algorithm with low complexity. After antenna selection, the interference from different spatial data flow is then aligned in one direction or into one subspace, leaving most of the spatial degrees of freedom for useful signals. Simulation results show that the proposed scheme achieves considerably better performance than the zero-forcing (ZF) precoding solution, this advantage is especially obvious in a high SNR regime.\",\"PeriodicalId\":311451,\"journal\":{\"name\":\"2015 10th International Conference on Computer Science & Education (ICCSE)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 10th International Conference on Computer Science & Education (ICCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE.2015.7250318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on Computer Science & Education (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2015.7250318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interference alignment based on antenna selection for massive MIMO system
This paper presents an anti-interference method of massive multi-input multi-output (Massive MIMO) based on antenna selection. Assume that both the base station (BS) and mobile station (MS) can acquire real-time channel state information (CSI), the transmitter and receiver select a set of antennas to transmit signals according to the optimization criterion of maximum channel capacity using an improved distributed antenna selection algorithm with low complexity. After antenna selection, the interference from different spatial data flow is then aligned in one direction or into one subspace, leaving most of the spatial degrees of freedom for useful signals. Simulation results show that the proposed scheme achieves considerably better performance than the zero-forcing (ZF) precoding solution, this advantage is especially obvious in a high SNR regime.