Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 480179 2 pages doi 2009 480179 Editorial Multiuser MIMO Transmission with Limited Feedback Cooperation and Coordination Markus Rupp EURASIP Member 1 Ana Perez-Neira EURASIP Member 2 Robert W. Heath Jr. 3 Nihar Jindal 4 and Christoph Mecklenbrauker EURASIP Member 1 1 Institute of Communications and Radio-Frequency Engineering INTHFT Vienna University of Technology Gusshausstr. 25 389 1040 Wien 1040 Vienna Austria 2 Technical University of Catalonia c Jordi Girona 1-3 08034 Barcelona Spain 3 The University of Texas at Austin University Sta C0803 Austin TX 78712-0240 USA 4 University of Minnesota 200 Union St. SE Minneapolis MN 55455 USA Correspondence should be addressed to Markus Rupp mrupp@ Received 12 November 2009 Accepted 12 November 2009 Copyright 2009 Markus Rupp et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Wireless communication systems are already exploiting powerful multiple antenna technologies based on the principles of multiple input multiple output MIMO communication. By now the principles of single user MIMO communication links are well understood. The next generation of systems though will use more advanced MIMO communication strategies that support multiuser MIMO. In this way the spatial degrees of freedom can be better exploited by properly scheduling multiple users. However multiple user communication with MIMO is more challenging than single user MIMO because channel state information at the transmitter is crucial to enhance the system capacity and also due to the additional degrees of freedom entailed by suppressing cancelling or avoiding interference. For example limited feedback algorithms that are used to quantize channel state information at the .
