中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (3): 105-109.doi:

• MIMO • 上一篇    下一篇

Grassmannian precoding MU-MIMO scheme

方舒 李立华 张平   

  1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2007-10-09 修回日期:1900-01-01 出版日期:2008-09-30
  • 通讯作者: 方舒

Grassmannian precoding MU-MIMO scheme

FANG Shu, LI Li-hua, ZHANG Ping   

  1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2007-10-09 Revised:1900-01-01 Online:2008-09-30

摘要:

In this article, a Grassmannian precoding multiuser multiple-input multiple-output (MU-MIMO) scheme for downlink transmission is proposed. The proposed MU-MIMO scheme will perform scheduling and precoding simultaneously at the base station, to obtain both the multiuser diversity gain and the precoding gain, to maximize the system capacity. The precoding method is related to Grassmannian precoding, which extends the point-to-point single-user Grassmannian precoding to point-to-multipoint multiuser Grassmannian precoding. It provides further significant system capacity enhancement than the single user MIMO (SU-MIMO) system and also outperforms the block diagonalization (BD) algorithm under the same simulation environment.

关键词:

;multiuser;MIMO,;cochannel;interference,;Grassmannian;precoding;

Abstract:

In this article, a Grassmannian precoding multiuser multiple-input multiple-output (MU-MIMO) scheme for downlink transmission is proposed. The proposed MU-MIMO scheme will perform scheduling and precoding simultaneously at the base station, to obtain both the multiuser diversity gain and the precoding gain, to maximize the system capacity. The precoding method is related to Grassmannian precoding, which extends the point-to-point single-user Grassmannian precoding to point-to-multipoint multiuser Grassmannian precoding. It provides further significant system capacity enhancement than the single user MIMO (SU-MIMO) system and also outperforms the block diagonalization (BD) algorithm under the same simulation environment.

Key words:

multiuser MIMO;cochannel interference;Grassmannian precoding