{"title":"A Leakage-Based Precoding Scheme for Cognitive Multiuser MIMO Systems","authors":"Chuiqiang Sun, J. Ge, Xinxin Bao, Xiaoye Shi","doi":"10.1109/iNCoS.2012.33","DOIUrl":null,"url":null,"abstract":"In this paper, we develop linear precoding schemes for cognitive radio (CR) multiuser multiple-input multiple-output (MU-MIMO) downlink systems. A secondary user base station (SBS) with multiple secondary users (SUs) sharing the primary user (PU) spectrum is considered. In the proposed scheme, the block diagonalization (BD) algorithm is adopted to remove the co-channel interference from the SBS to the PU completely, and the matching weighted signal-to-leakage-and-noise ratio (SLNR) maximization algorithm is proposed to mitigate interference between SUs. The proposed scheme does not require a strict restriction on the number of transmit and receive antennas. Simulation results show that the proposed scheme can achieve high sum rate throughput with affordable complexity.","PeriodicalId":287478,"journal":{"name":"2012 Fourth International Conference on Intelligent Networking and Collaborative Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iNCoS.2012.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper, we develop linear precoding schemes for cognitive radio (CR) multiuser multiple-input multiple-output (MU-MIMO) downlink systems. A secondary user base station (SBS) with multiple secondary users (SUs) sharing the primary user (PU) spectrum is considered. In the proposed scheme, the block diagonalization (BD) algorithm is adopted to remove the co-channel interference from the SBS to the PU completely, and the matching weighted signal-to-leakage-and-noise ratio (SLNR) maximization algorithm is proposed to mitigate interference between SUs. The proposed scheme does not require a strict restriction on the number of transmit and receive antennas. Simulation results show that the proposed scheme can achieve high sum rate throughput with affordable complexity.
在本文中,我们开发了用于认知无线电(CR)多用户多输入多输出(MU-MIMO)下行系统的线性预编码方案。考虑一个由多个辅助用户共享主用户频谱的辅助用户基站SBS (secondary user base station)。在该方案中,采用块对角化(BD)算法完全消除SBS对PU的同信道干扰,并提出匹配加权信噪比(SLNR)最大化算法来减轻su之间的干扰。该方案不需要对发射和接收天线的数量进行严格限制。仿真结果表明,该方案可以在可承受的复杂度下实现较高的和速率吞吐量。