Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure

被引:397
作者
Bjornson, Emil [1 ,2 ,3 ]
Bengtsson, Mats [4 ]
Ottersten, Bjorn [4 ,5 ]
机构
[1] Linkoping Univ, Dept Elect Engn, S-58183 Linkoping, Sweden
[2] Supelec, Gif Sur Yvette, France
[3] KTH Royal Inst Technol, Stockholm, Sweden
[4] KTH Royal Inst Technol, Dept Signal Proc, Stockholm, Sweden
[5] Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust, Luxembourg, Luxembourg
基金
瑞典研究理事会; 欧洲研究理事会;
关键词
MIMO; OPTIMIZATION; DOWNLINK;
D O I
10.1109/MSP.2014.2312183
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
Transmit beamforming is a versatile technique for signal transmission from an array of antennas to one or multiple users [1]. In wireless communications, the goal is to increase the signal power at the intended user and reduce interference to nonintended users. A high signal power is achieved by transmitting the same data signal from all antennas but with different amplitudes and phases, such that the signal components add coherently at the user. Low interference is accomplished by making the signal components add destructively at nonintended users. This corresponds mathematically to designing beamforming vectors (that describe the amplitudes and phases) to have large inner products with the vectors describing the intended channels and small inner products with nonintended user channels. © 2014 IEEE.
引用
收藏
页码:142 / 148
页数:7
相关论文
共 13 条
[1]  
Bengtsson M., 2001, HDB ANTENNAS WIRELES
[2]  
Bjornson E., MATLAB CODE
[3]  
BJORNSON E, 2013, FDN TRENDS COMMUN IN, V9, P113, DOI DOI 10.1561/0100000069
[4]   Convex Optimization-Based Beamforming [J].
Gershman, Alex B. ;
Sidiropoulos, Nicholas D. ;
Shahbazpanahi, Shahram ;
Bengtsson, Mats ;
Ottersten, Bjorn .
IEEE SIGNAL PROCESSING MAGAZINE, 2010, 27 (03) :62-75
[5]   Linear transmit processing in MIMO communications systems [J].
Joham, M ;
Utschick, W ;
Nossek, JA .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (08) :2700-2712
[6]   Coordinated Beamforming for MISO Interference Channel: Complexity Analysis and Efficient Algorithms [J].
Liu, Ya-Feng ;
Dai, Yu-Hong ;
Luo, Zhi-Quan .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (03) :1142-1157
[7]   Maximum ratio transmission [J].
Lo, TKY .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1999, 47 (10) :1458-1461
[8]   A vector-perturbation technique for near-capacity multiantenna multiuser communication - Part I: Channel inversion and regularization [J].
Peel, CB ;
Hochwald, BM ;
Swindlehurst, AL .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2005, 53 (01) :195-202
[9]   Scaling Up MIMO [J].
Rusek, Fredrik ;
Persson, Daniel ;
Lau, Buon Kiong ;
Larsson, Erik G. ;
Marzetta, Thomas L. ;
Edfors, Ove ;
Tufvesson, Fredrik .
IEEE SIGNAL PROCESSING MAGAZINE, 2013, 30 (01) :40-60
[10]   A leakage-based precoding scheme for downlink multi-user MIMO channels [J].
Sadek, Mirette ;
Tarighat, Alireza ;
Sayed, Ali H. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2007, 6 (05) :1711-1721