Title :
On preprocessing technology for downlink MIMO system
Author_Institution :
Electron. & Inf. Eng. Coll., Liaoning Univ. of Technol., Jinzhou, China
Abstract :
In order to improve the efficiency on the multi-user wireless spectrum and achieve the communication at the same base station, a novel preprocessing technology is proposed for the downlink MIMO system in this paper. Firstly, based on the theory of the equivalent channel energy, by calculating Frobenius norm on the channel energy from all the users, the receiving antennas with the maximum energy are perfectly selected, which can effectively reduce the computational complexity. After they are confirmed, using dual QR decompositions achieve the precoding matrix, which can eliminate the common channel interference largely. Afterwards, the system simulation and the results analysis demonstrate the efficiency and the reliability of this preprocessing technology that can improve the overall performance of MIMO system.
Keywords :
MIMO communication; antenna arrays; computational complexity; matrix algebra; radiofrequency interference; receiving antennas; wireless channels; Frobenius norm; base station; channel interference; computational complexity; downlink MIMO system; dual QR decompositions; multiuser wireless spectrum; precoding matrix; receiving antennas; Computational complexity; Downlink; MIMO; Mathematical model; Matrix decomposition; Receiving antennas; Transmitting antennas; Complexity; MIMO; Matrix; Precoding; QR;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768