Dynamically Adjusted Order Successive Interference Cancellation Algorithm for Massive Multiple Input Multiple Output

Dong Shen; Dan Zhao; Qiang Li; Jiale Liu

doi:10.3788/LOP202259.1107004

Laser & Optoelectronics Progress, Volume. 59, Issue 11, 1107004(2022)

Dynamically Adjusted Order Successive Interference Cancellation Algorithm for Massive Multiple Input Multiple Output

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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Figures & Tables(15)

Fig. 1. Uplink system of the massive MIMO

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Fig. 2. Shadow area of 4-QAM constellation diagram

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Fig. 3. Traversal capacity and information rate of different MIMO systems

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Fig. 4. Effect of offset on the number of cancellation layers. (a) $N_{t}$ =8; (b) SNR is 15 dB

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Fig. 5. Effect of weights on the number of cancellation layers. (a) $N_{t}$ =8; (b) SNR is 15 dB

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Fig. 6. Detection performance of different algorithms. (a) $N_{t}$ =8; (b) effect of the number of transmit antennas on the performance of the algorithm

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Fig. 7. Detection performance of D-OSIC algorithm and ML-OSIC algorithm

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Fig. 8. Detection performance of ML-D-OSIC algorithm under different $d_{t h}$

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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

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Fig. 10. Complexity of different signal detection algorithms. (a) Linear and nonlinear algorithms; (b) non-linear algorithms

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Table 1. BER of different algorithms when $N_{t}$ =8

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Table 1. BER of different algorithms when $N_{t}$ =8

SNR /dB	Algorithm
SNR /dB	Hybrid iteration	MMSE	OSIC	ZF-HIC	ML-D-OSIC	ML
10	0.17693	0.16743	0.17081	0.16118	0.14600	0.12856
12	0.12543	0.11475	0.11762	0.10793	0.09943	0.07981
14	0.07393	0.06743	0.06550	0.05831	0.04912	0.03906
16	0.03931	0.03181	0.02993	0.02400	0.01781	0.01106
18	0.01387	0.01018	0.00731	0.00606	0.00531	0.00212
20	0.00362	0.00168	0.00081	0.00087	0.00062	0.00031

Table 2. BER of ML-D-OSIC algorithm under different SNR
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Table 2. BER of ML-D-OSIC algorithm under different SNR
SNR /dB Number of antennas
4 12 20
10 0.06112 0.20908 0.26942
12 0.02512 0.15737 0.22960
14 0.00737 0.10445 0.18455
16 0.00075 0.05475 0.13632
18 0.00012 0.02054 0.08477

Table 3. BER of ML-D-OSIC algorithm under different $d_{t h}$
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Table 3. BER of ML-D-OSIC algorithm under different $d_{t h}$
SNR /dB $d_{t h}$
1.0 0.8 0.5 0.2
10 0.25840 0.25437 0.25293 0.25140
20 0.02696 0.02434 0.02350 0.01778
24 0.00084 0.00065 0.00053 0.00037

Table 4. BER of ML-D-OSIC algorithm when $N_{t}$ =8

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Table 4. BER of ML-D-OSIC algorithm when $N_{t}$ =8

Parameter	SNR /dB
Parameter	10	12	14	16	18	20
o=1.0	0.14762	0.09825	0.05006	0.01900	0.00456	0.00075
o=1.5	0.14287	0.09200	0.04400	0.01750	0.00462	0.00050
o=2.0	0.13587	0.08575	0.04287	0.01506	0.00293	0.00037
w=0.8	0.15250	0.09712	0.04975	0.02006	0.00443	0.00056
w=0.6	0.15043	0.09387	0.04700	0.01675	0.00418	0.00056
w=0.2	0.13918	0.08856	0.04350	0.01668	0.00393	0.00050

Table 5. BER of ML-D-OSIC algorithm when SNR is 15 dB
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Table 5. BER of ML-D-OSIC algorithm when SNR is 15 dB
Parameter Number of antennas
4 12 20
o=1.0 0.00350 0.07650 0.16120
o=1.5 0.00300 0.07433 0.15627
o=2.0 0.00225 0.06941 0.15352
w=0.8 0.00312 0.07645 0.16055
w=0.6 0.00250 0.07395 0.15987
w=0.2 0.00230 0.06229 0.14552

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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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