Multiuser MIMO Downlink Beamforming Design Based on Group Maximum SINR Filtering

被引：16

作者：

Yang, Yu-Han ^{[1
,2
]}

Lin, Shih-Chun ^{[3
]}

Su, Hsuan-Jung ^{[1
,2
]}

机构：

[1] Natl Taiwan Univ, Dept Elect Engn, Taipei 10617, Taiwan

[2] Natl Taiwan Univ, Grad Inst Commun Engn, Taipei 10617, Taiwan

[3] Natl Tsing Hua Univ, Inst Commun Engn, Hsinchu 30013, Taiwan

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2011年 / 59卷 / 04期

关键词：

Beamforming; broadcast channel; iterative algorithms; linear precoding; MIMO; multiuser;

D O I：

10.1109/TSP.2010.2099221

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we aim to solve the multiuser multi-input multi-output (MIMO) downlink beamforming problem where one multi-antenna base station broadcasts data to many users. Each user is assigned multiple data streams and has multiple antennas at its receiver. Efficient solutions to the joint transmit-receive beamforming and power allocation problem based on iterative methods are proposed. We adopt the group maximum signal-to-interference-plus-noise-ratio (SINR) filter bank (GSINR-FB) as our beamformer which exploits receiver diversity through cooperation between the data streams of a user. The data streams for each user are subject to an average SINR constraint, which has many important applications in wireless communication systems and serves as a good metric to measure the quality of service (QoS). The GSINR-FB also optimizes the average SINR of its output. Based on the GSINR-FB beamformer, we find an SINR balancing structure for optimal power allocation which simplifies the complicated power allocation problem to a linear one. Simulation results verify the superiority of the proposed algorithms over previous works with approximately the same complexity.

引用

页码：1746 / 1758

页数：13