• Laser & Optoelectronics Progress
  • Vol. 59, Issue 11, 1107004 (2022)
Dong Shen, Dan Zhao*, Qiang Li, and Jiale Liu
Author Affiliations
  • School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu , China
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    DOI: 10.3788/LOP202259.1107004 Cite this Article Set citation alerts
    Dong Shen, Dan Zhao, Qiang Li, Jiale Liu. Dynamically Adjusted Order Successive Interference Cancellation Algorithm for Massive Multiple Input Multiple Output[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1107004 Copy Citation Text show less
    Uplink system of the massive MIMO
    Fig. 1. Uplink system of the massive MIMO
    Shadow area of 4-QAM constellation diagram
    Fig. 2. Shadow area of 4-QAM constellation diagram
    Traversal capacity and information rate of different MIMO systems
    Fig. 3. Traversal capacity and information rate of different MIMO systems
    Effect of offset on the number of cancellation layers. (a) Nt=8; (b) SNR is 15 dB
    Fig. 4. Effect of offset on the number of cancellation layers. (a) Nt=8; (b) SNR is 15 dB
    Effect of weights on the number of cancellation layers. (a) Nt=8; (b) SNR is 15 dB
    Fig. 5. Effect of weights on the number of cancellation layers. (a) Nt=8; (b) SNR is 15 dB
    Detection performance of different algorithms. (a) Nt=8; (b) effect of the number of transmit antennas on the performance of the algorithm
    Fig. 6. Detection performance of different algorithms. (a) Nt=8; (b) effect of the number of transmit antennas on the performance of the algorithm
    Detection performance of D-OSIC algorithm and ML-OSIC algorithm
    Fig. 7. Detection performance of D-OSIC algorithm and ML-OSIC algorithm
    Detection performance of ML-D-OSIC algorithm under different dth
    Fig. 8. Detection performance of ML-D-OSIC algorithm under different dth
    Effect of different parameters on the detection performance of ML-D-OSIC algorithm. (a) Effect of offset and SNR on the algorithm; (b) effect of offset and the number of transmit antennas on the algorithm; (c) effect of weight and SNR on the algorithm; (d) pair of weights and the number of transmit antennas
    Fig. 9. Effect of different parameters on the detection performance of ML-D-OSIC algorithm. (a) Effect of offset and SNR on the algorithm; (b) effect of offset and the number of transmit antennas on the algorithm; (c) effect of weight and SNR on the algorithm; (d) pair of weights and the number of transmit antennas
    Complexity of different signal detection algorithms. (a) Linear and nonlinear algorithms; (b) non-linear algorithms
    Fig. 10. Complexity of different signal detection algorithms. (a) Linear and nonlinear algorithms; (b) non-linear algorithms
    SNR /dBAlgorithm
    Hybrid iterationMMSEOSICZF-HICML-D-OSICML
    100.176930.167430.170810.161180.146000.12856
    120.125430.114750.117620.107930.099430.07981
    140.073930.067430.065500.058310.049120.03906
    160.039310.031810.029930.024000.017810.01106
    180.013870.010180.007310.006060.005310.00212
    200.003620.001680.000810.000870.000620.00031
    Table 1. BER of different algorithms when Nt=8
    SNR /dBNumber of antennas
    41220
    100.061120.209080.26942
    120.025120.157370.22960
    140.007370.104450.18455
    160.000750.054750.13632
    180.000120.020540.08477
    Table 2. BER of ML-D-OSIC algorithm under different SNR
    SNR /dBdth
    1.00.80.50.2
    100.258400.254370.252930.25140
    200.026960.024340.023500.01778
    240.000840.000650.000530.00037
    Table 3. BER of ML-D-OSIC algorithm under different dth
    ParameterSNR /dB
    101214161820
    o=1.00.147620.098250.050060.019000.004560.00075
    o=1.50.142870.092000.044000.017500.004620.00050
    o=2.00.135870.085750.042870.015060.002930.00037
    w=0.80.152500.097120.049750.020060.004430.00056
    w=0.60.150430.093870.047000.016750.004180.00056
    w=0.20.139180.088560.043500.016680.003930.00050
    Table 4. BER of ML-D-OSIC algorithm when Nt=8
    ParameterNumber of antennas
    41220
    o=1.00.003500.076500.16120
    o=1.50.003000.074330.15627
    o=2.00.002250.069410.15352
    w=0.80.003120.076450.16055
    w=0.60.002500.073950.15987
    w=0.20.002300.062290.14552
    Table 5. BER of ML-D-OSIC algorithm when SNR is 15 dB
    Dong Shen, Dan Zhao, Qiang Li, Jiale Liu. Dynamically Adjusted Order Successive Interference Cancellation Algorithm for Massive Multiple Input Multiple Output[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1107004
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