Networked MIMO with Clustered Linear Precoding

被引:390
作者
Zhang, Jun [1 ]
Chen, Runhua [2 ]
Andrews, Jeffrey G. [1 ]
Ghosh, Arunabha
Heath, Robert W., Jr. [1 ]
机构
[1] Univ Texas Austin, Wireless Networking & Commun Grp, Dept Elect & Comp Engn, Austin, TX 78712 USA
[2] Texas Instruments Inc, DSPS R&D Ctr, Dallas, TX USA
关键词
MIMO systems; cellular technology; resource allocation and interference management; base station coordination; MULTIUSER MIMO; SUM CAPACITY; BROADCAST CHANNEL; INTERFERENCE; SYSTEMS; DOWNLINK;
D O I
10.1109/TWC.2009.080180
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
A clustered base transceiver station (BTS) coordination strategy is proposed for a large cellular MIMO network, which includes full intra-cluster coordination-to enhance the sum rate-and limited inter-cluster coordination-to reduce interference for the cluster edge users. Multi-cell block diagonalization is used to coordinate the transmissions across multiple BTSs in the same cluster. To satisfy per-BTS power constraints, three combined precoder and power allocation algorithms are proposed with different performance and complexity tradeoffs. For inter-cluster coordination, the coordination area is chosen to balance fairness for edge users and the achievable sum rate. It is shown that a small cluster size (about 7 cells) is sufficient to obtain most of the sum rate benefits from clustered coordination while greatly relieving channel feedback requirement. Simulations show that the proposed coordination strategy efficiently reduces interference and provides a considerable sum rate gain for cellular MIMO networks.
引用
收藏
页码:1910 / 1921
页数:12
相关论文
共 50 条
[1]   Overcoming interference in spatial multiplexing MIMO cellular networks [J].
Andrews, Jeffrey G. ;
Choi, Wan ;
Heath, Robert W., Jr. .
IEEE WIRELESS COMMUNICATIONS, 2007, 14 (06) :95-104
[2]  
[Anonymous], P EUR WIR C EW 07 PA
[3]  
[Anonymous], P IEEE INT S INF THE
[4]  
[Anonymous], 2003, Introduction to SpaceTime Wireless Communications
[5]   MIMO capacity with interference [J].
Blum, RS .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2003, 21 (05) :793-801
[6]  
Boccardi F., 2007, P IEEE INT S PERS IN
[7]  
Bohagen F., 2006, 2006 IEEE 7 WORKSH S, P1
[8]  
Boyd S., 2004, CONVEX OPTIMIZATION, DOI DOI 10.1017/CBO9780511804441
[9]  
CAIRE G, 2008, P ALL C COMM CONTR C
[10]  
CAIRE G, 2003, IEEE T INFORM THEORY, V49, P11706