{"title":"MIMO电力线通信的干扰对准","authors":"M. J. Rahman, L. Lampe","doi":"10.1109/ISPLC.2015.7147592","DOIUrl":null,"url":null,"abstract":"Interference alignment (IA) is a multiplexing gain optimal linear precoding strategy that has been extensively studied in the context of multi-input multi-output (MIMO) wireless interference networks. In this paper, we study the applicability of IA for MIMO power line communication (PLC) in interference scenarios. In particular, we consider different MIMO PLC networks to study the feasibility of IA as well as evaluate the performance in terms of sum-rate for these setups. To this end, we exploit minimum interference leakage (Min-IL) and maximum signal to interference plus noise ratio (Max-SINR) algorithms that were earlier proposed for IA in the context of MIMO wireless interference networks. Our results show that IA can be equally applicable to the MIMO PLC in interference scenarios as well as the sum-rate of the PLC networks can be significantly improved through the exploitation of Max-SINR algorithm. It is found that at high signal to noise ratio (SNR) the performance gain in terms of sum-rate with IA over orthogonal transmission techniques is around 30% for a 3-user 2 × 2 MIMO PLC network.","PeriodicalId":222123,"journal":{"name":"2015 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Interference alignment for MIMO power line communications\",\"authors\":\"M. J. Rahman, L. Lampe\",\"doi\":\"10.1109/ISPLC.2015.7147592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Interference alignment (IA) is a multiplexing gain optimal linear precoding strategy that has been extensively studied in the context of multi-input multi-output (MIMO) wireless interference networks. In this paper, we study the applicability of IA for MIMO power line communication (PLC) in interference scenarios. In particular, we consider different MIMO PLC networks to study the feasibility of IA as well as evaluate the performance in terms of sum-rate for these setups. To this end, we exploit minimum interference leakage (Min-IL) and maximum signal to interference plus noise ratio (Max-SINR) algorithms that were earlier proposed for IA in the context of MIMO wireless interference networks. Our results show that IA can be equally applicable to the MIMO PLC in interference scenarios as well as the sum-rate of the PLC networks can be significantly improved through the exploitation of Max-SINR algorithm. It is found that at high signal to noise ratio (SNR) the performance gain in terms of sum-rate with IA over orthogonal transmission techniques is around 30% for a 3-user 2 × 2 MIMO PLC network.\",\"PeriodicalId\":222123,\"journal\":{\"name\":\"2015 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPLC.2015.7147592\",\"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 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPLC.2015.7147592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
摘要
干扰对准(IA)是一种多路增益最优的线性预编码策略,在多输入多输出(MIMO)无线干扰网络中得到了广泛研究。本文研究了IA在MIMO电力线通信(PLC)干扰情况下的适用性。特别是,我们考虑了不同的MIMO PLC网络来研究IA的可行性,并根据这些设置的求和速率评估性能。为此,我们利用最小干扰泄漏(Min-IL)和最大信噪比(Max-SINR)算法,这些算法早前在MIMO无线干扰网络背景下为IA提出。我们的研究结果表明,IA可以同样适用于MIMO PLC在干扰情况下,并且通过利用Max-SINR算法可以显著提高PLC网络的和速率。研究发现,在高信噪比(SNR)下,3用户2 × 2 MIMO PLC网络的性能增益与正交传输技术的IA和速率有关,约为30%。
Interference alignment for MIMO power line communications
Interference alignment (IA) is a multiplexing gain optimal linear precoding strategy that has been extensively studied in the context of multi-input multi-output (MIMO) wireless interference networks. In this paper, we study the applicability of IA for MIMO power line communication (PLC) in interference scenarios. In particular, we consider different MIMO PLC networks to study the feasibility of IA as well as evaluate the performance in terms of sum-rate for these setups. To this end, we exploit minimum interference leakage (Min-IL) and maximum signal to interference plus noise ratio (Max-SINR) algorithms that were earlier proposed for IA in the context of MIMO wireless interference networks. Our results show that IA can be equally applicable to the MIMO PLC in interference scenarios as well as the sum-rate of the PLC networks can be significantly improved through the exploitation of Max-SINR algorithm. It is found that at high signal to noise ratio (SNR) the performance gain in terms of sum-rate with IA over orthogonal transmission techniques is around 30% for a 3-user 2 × 2 MIMO PLC network.