{"title":"Linear precoder design for correlated rician fading channel under imperfect CSI","authors":"S. B. M. Priya","doi":"10.23919/jcc.fa.2021-0167.202309","DOIUrl":null,"url":null,"abstract":"In this paper, we have modeled a linear precoder for indoor multiuser multiple input multiple output (MU-MIMO) system with imperfect channel state information (CSI) at transmitter. The Rician channel is presumed to be mutually coupled and spatially, temporarily correlated. The imperfection with CSI is primarily due to the channel estimation error at receiver and feedback delay amidst the receiver and transmitter in CSI transmission. Along with, the insufficient spacing between the antenna at transmitter and receiver persuades mutual coupling (MC) among the array elements. In addition, the MIMO channel is presumed to be jointly correlated (Weichselberger correlation model). When we look back on the existing precoder design, it considered spatial correlation alone disregarding joint correlation of antenna array elements. With all above assumption, we have designed a linear precoder which minimizes mean squared error (MSE) subjected to total transmit power constraint for MU-MIMO system. The simulation results proven that proposed precoder shows substantial enhancement in bit error rate (BER) performance in comparison with the existing technique. The mathematical analysis corroborates the simulation results.","PeriodicalId":9814,"journal":{"name":"China Communications","volume":"132 1","pages":"0"},"PeriodicalIF":3.1000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/jcc.fa.2021-0167.202309","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we have modeled a linear precoder for indoor multiuser multiple input multiple output (MU-MIMO) system with imperfect channel state information (CSI) at transmitter. The Rician channel is presumed to be mutually coupled and spatially, temporarily correlated. The imperfection with CSI is primarily due to the channel estimation error at receiver and feedback delay amidst the receiver and transmitter in CSI transmission. Along with, the insufficient spacing between the antenna at transmitter and receiver persuades mutual coupling (MC) among the array elements. In addition, the MIMO channel is presumed to be jointly correlated (Weichselberger correlation model). When we look back on the existing precoder design, it considered spatial correlation alone disregarding joint correlation of antenna array elements. With all above assumption, we have designed a linear precoder which minimizes mean squared error (MSE) subjected to total transmit power constraint for MU-MIMO system. The simulation results proven that proposed precoder shows substantial enhancement in bit error rate (BER) performance in comparison with the existing technique. The mathematical analysis corroborates the simulation results.
期刊介绍:
China Communications (ISSN 1673-5447) is an English-language monthly journal cosponsored by the China Institute of Communications (CIC) and IEEE Communications Society (IEEE ComSoc). It is aimed at readers in industry, universities, research and development organizations, and government agencies in the field of Information and Communications Technologies (ICTs) worldwide.
The journal's main objective is to promote academic exchange in the ICTs sector and publish high-quality papers to contribute to the global ICTs industry. It provides instant access to the latest articles and papers, presenting leading-edge research achievements, tutorial overviews, and descriptions of significant practical applications of technology.
China Communications has been indexed in SCIE (Science Citation Index-Expanded) since January 2007. Additionally, all articles have been available in the IEEE Xplore digital library since January 2013.