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: Research Article Optimal Multiuser MIMO Linear Precoding with LMMSE Receiver | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2009 Article ID 197682 10 pages doi 2009 197682 Research Article Optimal Multiuser MIMO Linear Precoding with LMMSE Receiver Fang Shu Wu Gang and Li Shao-Qian National Key Lab of Communication University of Electronic Science and Technology of China Chengdu 611731 China Correspondence should be addressed to Fang Shu fangshu@ Received 21 January 2009 Revised 11 May 2009 Accepted 19 June 2009 Recommended by Cornelius van Rensburg The adoption of multiple antennas both at the transmitter and the receiver will explore additional spatial resources to provide substantial gain in system throughput with the spatial division multiple access SDMA technique. Optimal multiuser MIMO linear precoding is considered as a key issue in the area of multiuser MIMO research. The challenge in such multiuser system is designing the precoding vector to maximize the system capacity. An optimal multiuser MIMO linear precoding scheme with LMMSE detection based on particle swarm optimization is proposed in this paper. The proposed scheme aims to maximize the system capacity of multiuser MIMO system with linear precoding and linear detection. This paper explores a simplified function to solve the optimal problem. With the adoption of particle swarm optimization algorithm the optimal linear precoding vector could be easily searched according to the simplified function. The proposed scheme provides significant performance improvement comparing to the multiuser MIMO linear precoding scheme based on channel block diagonalization method. Copyright 2009 Fang Shu 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. 1. Introduction In recent years with the increasing demand of transmitting high data rates the Multiple-Input .
