Low-Complexity Multi-User Detection for MBM in Uplink Large-Scale MIMO Systems

被引:14
|
作者
Zhang, Limin [1 ]
Zhao, Minjian [1 ]
Li, Liyan [1 ]
机构
[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
基金
美国国家科学基金会;
关键词
Media-based modulation; large-scale MIMO; multi-user detection; SIGNAL RECOVERY; MODULATION; PURSUIT;
D O I
10.1109/LCOMM.2018.2831702
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Media-based modulation (MBM) is a novel modulation scheme, which embeds information in different channel fading realizations created by changing the status of radio frequency mirrors. In this letter, we investigate the problem of multi-user MBM signal detection in a large-scale multiple-input multiple-output system, where the base station is equipped with a large number of antennas and several users use MBM for uplink transmission. We propose an iterative interference cancellation-based algorithm. The basic idea is to treat the multi-user interference as noise and cancel it iteratively. Computer simulation results show that the proposed algorithm has good performance with low complexity.
引用
收藏
页码:1568 / 1571
页数:4
相关论文
共 50 条
  • [1] Low-Complexity Multiuser Detection for Uplink Large-scale MIMO
    Wang, Shengchu
    Li, Yunzhou
    Wang, Jing
    [J]. 2014 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2014, : 224 - 229
  • [2] Low-complexity near-optimal signal detection for uplink large-scale MIMO systems
    Gao, Xinyu
    Dai, Linglong
    Ma, Yongkui
    Wang, Zhaocheng
    [J]. ELECTRONICS LETTERS, 2014, 50 (18) : 1326 - +
  • [3] Low-Complexity Signal Detection Using CG Method for Uplink Large-Scale MIMO Systems
    Hu, Yuting
    Wang, Zhongxu
    Gao, Xinyu
    Ning, Jiaqi
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS), 2014, : 477 - 481
  • [4] LDPC Coded Multi-User Massive MIMO Systems With Low-Complexity Detection
    Park, Han Jin
    Lee, Jeong Woo
    [J]. IEEE ACCESS, 2022, 10 : 25296 - 25308
  • [5] Low-complexity iterative detection in multi-user MIMO ISI channels
    Yuan, Xiaojun
    Guo, Qinghua
    Ping, Li
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2008, 15 : 25 - 28
  • [6] Low-Complexity CFO Estimation for Multi-User Massive MIMO Systems
    Mukherjee, Sudarshan
    Mohammed, Saif Khan
    [J]. 2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [7] Low-Complexity Multi-User Parameterized Beamforming in Massive MIMO Systems
    Jung, Geon-Woong
    Lee, Yong-Hwan
    [J]. ELECTRONICS, 2020, 9 (06)
  • [8] Low-complexity approximate iterative LMMSE detection for large-scale MIMO systems
    He, Xiaochen
    Guo, Qinghua
    Tong, Jun
    Xi, Jiangtao
    Yu, Yanguang
    [J]. DIGITAL SIGNAL PROCESSING, 2017, 60 : 134 - 139
  • [9] Low-Complexity Belief Propagation Detection for Correlated Large-Scale MIMO Systems
    Junmei Yang
    Wenqing Song
    Shunqing Zhang
    Xiaohu You
    Chuan Zhang
    [J]. Journal of Signal Processing Systems, 2018, 90 : 585 - 599
  • [10] Low-Complexity Belief Propagation Detection for Correlated Large-Scale MIMO Systems
    Yang, Junmei
    Song, Wenqing
    Zhang, Shunqing
    You, Xiaohu
    Zhang, Chuan
    [J]. JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2018, 90 (04): : 585 - 599