Low-complexity CFO Compensation for OFDM-based Massive MIMO Systems

被引:0
|
作者
Sabeti, Parna [1 ]
Farhang, Arman [1 ]
Marchetti, Nicola [1 ]
Doyle, Linda [1 ]
机构
[1] Trinity Coll Dublin, CONNECT, Dublin, Ireland
基金
爱尔兰科学基金会;
关键词
SYNCHRONIZATION; FREQUENCY; WIRELESS; RECEIVER;
D O I
暂无
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
Massive multiple input multiple output (MIMO) plays a pivotal role in the fifth generation (5G) wireless networks. However, its performance heavily relies on accurate synchronization. Although timing offset (TO) can be avoided by applying orthogonal frequency division multiplexing (OFDM) with an adequate length of cyclic prefix (CP), carrier frequency offset (CFO) is still a challenging issue. Especially, in the uplink of multi-user massive MIMO systems, CFO compensation can impose a substantial amount of computational complexity to the base station (BS) due to the large number of BS antennas. To resolve this problem, in this paper, we propose a low-complexity CFO compensation technique. Our solution is performed after combining the received signals at the BS antennas. We calculate the interference matrix and discuss that asymptotically, this matrix can be obtained in terms of the power delay profile (PDP) of the users' channels. Consequently, the computational complexity of the CFO compensation process is independent of the number of BS antennas and thus remains constant as this number increases. Moreover, we show that the calculated interference matrix can be diagonalized due to its circulant property, and as a result, its inverse can be obtained straightforwardly. This leads to a considerable saving in the computational cost of the receiver. Numerical results are presented to verify the performance of our proposed CFO compensation technique and to investigate its computational complexity.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Low-Complexity Downlink User Selection for Massive MIMO Systems
    Liu, Haijing
    Gao, Hui
    Yang, Shaoshi
    Lv, Tiejun
    IEEE SYSTEMS JOURNAL, 2017, 11 (02): : 1072 - 1083
  • [42] Low-Complexity Downlink MMSE Beamforming in Massive MIMO Systems
    Ye, Junhong
    Zhang, Ying Jun
    2016 IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS WIRELESS BROADBAND (ICUWB2016), 2016,
  • [43] A Low-Complexity MAP–SIC Detector for Massive MIMO Systems
    Hongzhi Wang
    Xin Miao
    Qingxue Liu
    Wireless Personal Communications, 2021, 119 : 865 - 876
  • [44] Low-Complexity Recursive Convolutional Precoding for OFDM-based Large-Scale Antenna Systems
    Liu, Yinsheng
    Li, Geoffrey Ye
    2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 3376 - 3380
  • [45] Low-Complexity Recursive Convolutional Precoding for OFDM-Based Large-Scale Antenna Systems
    Liu, Yinsheng
    Li, Geoffrey Ye
    Han, Wei
    Zhong, Zhangdui
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (07) : 4902 - 4913
  • [46] A low-complexity peak-to-average power ratio reduction technique for OFDM-based systems
    Wang, CL
    Yuan, OY
    Chen, HC
    VTC2004-FALL: 2004 IEEE 60TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-7: WIRELESS TECHNOLOGIES FOR GLOBAL SECURITY, 2004, : 4380 - 4384
  • [47] On the performance of joint low-complexity equalization and CFO compensation for SISO-OFDM communication systems with chaotic interleaving and DCT
    Ramadan, Khaled
    Alturki, Abdulrahman
    Dessouky, Moawad I.
    Abd El-Samie, Fathi E.
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2021, 34 (04)
  • [48] Design of Low-Complexity FFT Processor for MIMO-OFDM Based SDR Systems
    Yang, Gijung
    Lung, Yunho
    12TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY: ICT FOR GREEN GROWTH AND SUSTAINABLE DEVELOPMENT, VOLS 1 AND 2, 2010, : 107 - 110
  • [49] A Low-complexity Precoder Searching Algorithm for MIMO-OFDM Systems
    Wu, Wen-Rong
    Hsu, Tzu-Han
    2009 IEEE 20TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, 2009, : 2021 - 2024
  • [50] Low-Complexity Massive MIMO Detectors Based on Richardson Method
    Kang, Byunggi
    Yoon, Ji-Hwan
    Park, Jongsun
    ETRI JOURNAL, 2017, 39 (03) : 326 - 335