Antenna Selection Symbol-Level Precoding for Low Complexity Large-Scale Antenna Array Systems

被引:0
|
作者
Domouchtsidis, Stavros [1 ]
Tsinos, Christos [1 ]
Chatzinotas, Symeon [1 ]
Ottersten, Bjoern [1 ]
机构
[1] Univ Luxembourg, SnT Securityandtrust Lu, Luxembourg, Luxembourg
关键词
MIMO; energy-efficiency; large-scale antenna; antenna selection; symbol level precoding; mmWave communications; INTERFERENCE ALIGNMENT; MIMO; DECOMPOSITION;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Large-Scale Antenna Array Systems may be used to serve multiple users in the same time-frequency resource block which results to harmful multi-user interference (MUI). In the literature precoding techniques have been proposed as a way to mitigate the induced MUI, by designing the transmitted signals using the knowledge of the Channel State Information (CSI), in block-level precoding (BLP) or both the CSI and the information-bearing symbols, in symbol-level precoding (SLP). However, the proposed SLP techniques require fully digital baseband processing which is infeasible in large-scale antenna array systems because of the high cost and power consumption of radio frequency (RF) components. In order to reduce the number of RF chains, we address an Antenna Selection Symbol-Level Precoding (AS-SLP) scheme, which minimizes the MUI by activating only a subset of the available antennas. For this scheme we develop an efficient algorithm, based on Coordinate Descent. Simulations provide an insight on the efficiency of the proposed approach and its improvement with respect to the fully digitally approaches.
引用
收藏
页码:50 / 55
页数:6
相关论文
共 50 条
  • [1] Symbol-Level Precoding for Low Complexity Transmitter Architectures in Large-Scale Antenna Array Systems
    Domouchtsidis, Stavros
    Tsinos, Christos G.
    Chatzinotas, Symeon
    Ottersten, Bjorn
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 18 (02) : 852 - 863
  • [2] Deep Learning-Based Symbol-Level Precoding for Large-Scale Antenna System
    Xie, Changxu
    Du, Huiqin
    Liu, Xialing
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [3] Symbol-Level Precoding with Low Resolution DACs for Large-Scale Array MU-MIMO Systems
    Tsinos, Christos G.
    Kalantari, Ashkan
    Chatzinotas, Symeon
    Ottersten, Bjorn
    [J]. 2018 IEEE 19TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2018, : 671 - 675
  • [4] Constant Envelope MIMO-OFDM Precoding for Low Complexity Large-Scale Antenna Array Systems
    Domouchtsidis, Stavros
    Tsinos, Christos G.
    Chatzinotas, Symeon
    Ottersten, Bjorn
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (12) : 7973 - 7985
  • [5] Per-antenna Power Minimization in Symbol-Level Precoding
    Spano, Danilo
    Alodeh, Maha
    Chatzinotas, Symeon
    Ottersten, Bjorn
    [J]. 2016 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2016,
  • [6] Antenna Selection in Large-Scale Multiple Antenna Systems
    Zhao, Zhongyuan
    Peng, Mugen
    Wang, Li
    Cai, Wenqi
    Li, Yong
    Chen, Hsiao-Hwa
    [J]. WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, 2015, 9204 : 756 - 766
  • [7] Low-Complexity Recursive Convolutional Precoding for OFDM-based Large-Scale Antenna Systems
    Liu, Yinsheng
    Li, Geoffrey Ye
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 3376 - 3380
  • [8] Low-Complexity Recursive Convolutional Precoding for OFDM-Based Large-Scale Antenna Systems
    Liu, Yinsheng
    Li, Geoffrey Ye
    Han, Wei
    Zhong, Zhangdui
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (07) : 4902 - 4913
  • [9] Low-Complexity Transmit Antenna Selection in Large-Scale Spatial Modulation Systems
    Wei, Peng
    Yin, Lu
    Xiao, Yue
    He, Xu
    Li, Shaoqian
    [J]. INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2015, 2015
  • [10] Energy-Efficient Hybrid Symbol-Level Precoding for Large-Scale mmWave Multiuser MIMO Systems
    Haqiqatnejad, Alireza
    Kayhan, Farbod
    Ottersten, Bjorn
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (05) : 3119 - 3134