A Low Complexity Loglikelihood Ratio Scheme in Coded Multiple-Input Multiple-Output Systems

被引:1
|
作者
Xu Qiang [1 ]
Zhu Xudong [1 ]
Huang Yanhui [1 ]
机构
[1] China Gen Nucl Power Corp, Ctr Informat Technol, Shenzhen, Peoples R China
关键词
QRM-MLD; LLR; MMSE-SIC; MIMO; QRM-MLD;
D O I
10.1109/IIH-MSP.2013.161
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The higher data rate in coded MIMO systems needs higher performance and lower computational complexity. This paper proposes a method to improve the performance and reduce the computational complexity in coded MIMO system, such as IEEE 802.11ac. The proposed scheme based on log likelihood ratio with QRM-MLD (QRM-MLD-LLR) needs to expand the estimated channel matrix H by MMSE scheme firstly, and use the partial constellations set S to replace the all constellations set C to reduce the computational complexity by the MMSE-SIC method secondly. Simulation results show that the proposed scheme with expanding H by MMSE can obtain better performance than non-expanding H, the proposed scheme can reduce more than 70% computational complexity but keep only 0.5dB performance loss.
引用
收藏
页码:627 / 629
页数:3
相关论文
共 50 条
  • [41] CDMA receiver performance for multiple-input multiple-output antenna systems
    Ahmed, M
    Pautler, J
    Rohani, K
    IEEE 54TH VEHICULAR TECHNOLOGY CONFERENCE, VTC FALL 2001, VOLS 1-4, PROCEEDINGS, 2001, : 1309 - 1313
  • [42] Equal gain transmission in multiple-input multiple-output wireless systems
    Love, DJ
    Heath, RW
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2003, 51 (07) : 1102 - 1110
  • [43] INTELLIGENT CONTROLLER FOR MULTIPLE-INPUT MULTIPLE-OUTPUT SYSTEMS - PART I
    Lin, Jeen
    Lian, Ruey-Jing
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2011, 7 (08): : 4789 - 4803
  • [44] State-shared model for multiple-input multiple-output systems
    Zhenhua TIAN
    Control Theory and Technology, 2005, (04) : 348 - 356
  • [45] Design of a mixed fuzzy controller for multiple-input multiple-output systems
    Lian, RJ
    Lin, BF
    MECHATRONICS, 2005, 15 (10) : 1225 - 1252
  • [46] Holographic Multiple-Input, Multiple-Output Systems: Their Channel Estimation and Performance
    Chen, Yuanbin
    Wang, Ying
    Wang, Zhaocheng
    Zhang, Ping
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2024, : 2 - 11
  • [47] Low-complexity scheduling strategy for wireless multiuser multiple-input multiple-output downlink system
    Jin, L.
    Gu, X.
    Hu, Z.
    IET COMMUNICATIONS, 2011, 5 (07) : 990 - 995
  • [48] Dual antenna selection algorithms and feedback strategies with reduced complexity for multiple-input multiple-output systems
    You, C.
    Hwang, I.
    Kim, Y.
    Tarokh, V.
    IET MICROWAVES ANTENNAS & PROPAGATION, 2009, 3 (06) : 906 - 916
  • [49] Analysing bit-interleaved coded modulation in multiple-input multiple-output systems with channel estimation error
    Andalibi, Z.
    Nguyen, H. H.
    Salt, J. E.
    IET COMMUNICATIONS, 2012, 6 (11) : 1502 - 1510
  • [50] A Reconfigurable UWB Multiple-Input Multiple-Output Antenna
    Kantemur, Adnan
    Tak, Jinpil
    Xin, Hao
    2018 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING, 2018, : 277 - 278