Limited Feedback Unitary Precoding for MIMO Full Stream Transmission

被引:6
|
作者
Cheng, Peng [1 ]
Chen, Zhuo [1 ]
Rui, Yun [2 ,3 ]
Guo, Y. Jay [1 ]
Guizani, Mohsen [4 ]
机构
[1] CSIRO Computat Informat, Clayton, Vic 3169, Australia
[2] Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai 201203, Peoples R China
[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
[4] Qatar Univ, Doha 2713, Qatar
关键词
Limited feedback; multiple-input-multiple-output (MIMO); precoding; spatial multiplexing; PERFORMANCE ANALYSIS; BROAD-BAND; SYSTEMS;
D O I
10.1109/TVT.2014.2306985
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
Limited feedback precoding (LFP) significantly improves multiple-input-multiple-output (MIMO) spatial multiplexing link reliability with a small amount of feedback from the receiver back to the transmitter. One of the key problems with LFP is how to select an optimal precoder from a predetermined unitary codebook. We find that the conventional precoder selection criteria are not applicable to the full stream transmission mode with linear [zero forcing (ZF) and minimum mean square error (MMSE)] receivers. To solve this issue, a novel singular value decomposition (SVD)-based precoder selection criterion optimizing the bit error rate (BER) performance is proposed in this paper. The proposed criterion features a unified structure for both linear receivers and it can be calculated based on fast matrix computation algorithms. Its effectiveness in the full stream transmission mode is verified by simulation results.
引用
收藏
页码:4092 / 4096
页数:5
相关论文
共 50 条
  • [21] GSVD Based Multi-user Multi-stream MIMO Linear Precoding with Limited Feedback
    Park, Jaehyun
    Um, Jung-Sun
    Park, Yunju
    Jeong, Byung Jang
    [J]. 2012 IEEE 23RD INTERNATIONAL SYMPOSIUM ON PERSONAL INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2012, : 1874 - 1879
  • [22] Precoding for the multiuser MIMO-OFDMA downlink with limited feedback
    State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071, China
    [J]. Xi'an Dianzi Keji Daxue Xuebao, 2007, 1 (71-75):
  • [23] Subspace Precoding with Limited Feedback for the Massive MIMO Interference Channel
    Bazzi, Samer
    Dietl, Guido
    Utschick, Wolfgang
    [J]. 2014 IEEE 8TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2014, : 277 - 280
  • [24] Robust Precoding Designs for Multiuser MIMO Systems With Limited Feedback
    Zhou, Wentao
    Zhang, Di
    Debbah, Mérouane
    Lee, Inkyu
    [J]. IEEE Transactions on Wireless Communications, 2024, 23 (08) : 9583 - 9595
  • [25] A Novel Linear Precoding Based on Limited Feedback for MIMO Systems
    Dong, Peng
    Tang, Wanbin
    Wang, Lian
    [J]. 2009 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLUMES I & II: COMMUNICATIONS, NETWORKS AND SIGNAL PROCESSING, VOL I/ELECTRONIC DEVICES, CIRUITS AND SYSTEMS, VOL II, 2009, : 14 - +
  • [26] Adaptive precoding for wireless MIMO broadcast channels with limited feedback
    Kim, J
    Kim, J
    Park, CS
    Lee, KB
    [J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2005, E88B (11) : 4237 - 4245
  • [27] Noncooperative Multimode Precoding with Limited Feedback in MIMO Interference Channels
    Lee, Jong-Ho
    [J]. ETRI JOURNAL, 2012, 34 (05) : 763 - 766
  • [28] Linear precoding in the downlink of limited feedback multiuser MIMO systems
    Dietl, Guido
    Bauch, Gerhard
    [J]. GLOBECOM 2007: 2007 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-11, 2007, : 4359 - 4364
  • [29] Limited feedback precoding scheme for downlink multiuser MIMO systems
    Zheng, Haibo
    Wu, Yongle
    Li, Yunzhou
    Zhou, Shidong
    Wang, Jing
    [J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2007, E90B (03) : 689 - 692
  • [30] A closed-loop STTD scheme using limited feedback unitary precoding for MIMO-OFDM-OSTBC system
    Wang, Jie
    Zhang, Zhonghao
    Li, Shaoqian
    Gong, Yuehuan
    Liu, Tao
    [J]. 2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS; VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS, 2007, : 155 - +