Linear MMSE Channel Estimation for Underlay Cognitive Radio Networks  

作　　者：Lucas Claudino Taufik Abrão Lucas Claudino;Taufik Abrão(Department of Electrical Engineering, State University of Londrina, Parana, Brazil)

机构地区：[1]Department of Electrical Engineering, State University of Londrina, Parana, Brazil

出　　处：《Journal of Computer and Communications》2022年第8期1-17,共17页电脑和通信（英文）

摘　　要：Channel estimation techniques applied to cognitive radio networks (CRN) are analyzed for simultaneously primary and secondary channel estimations operating in underlay cognitive radio networks (uCRN). A complete base-band transmission including pilot sequence transmission, channel matrix estimation and optimal precoder matrix generation based on imperfect channel estimation are described. Also, the effect of imperfect channel estimation has been studied to provide means of developing techniques to overcome problems while enhancing the MIMO communication performance.Channel estimation techniques applied to cognitive radio networks (CRN) are analyzed for simultaneously primary and secondary channel estimations operating in underlay cognitive radio networks (uCRN). A complete base-band transmission including pilot sequence transmission, channel matrix estimation and optimal precoder matrix generation based on imperfect channel estimation are described. Also, the effect of imperfect channel estimation has been studied to provide means of developing techniques to overcome problems while enhancing the MIMO communication performance.

关 键 词：Cognitive Radio Networks (CRNs) Channel Estimation MIMO Channel Estimation Error PRECODING Sum-Rate Maximization 

分 类 号：TN9[电子电信—信息与通信工程]