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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 5
1524-1528

Low-complexity soft-output signal detection on uplink for large-scale MIMO

Shen Dong
Zhao Dan
Li Qiang
Di Jing
School of Electronic & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
DOI: 10.19734/j.issn.1001-3695.2020.07.0192

Abstract

Based on the high dimension of the channel matrix and the complexity of the received signals, this paper proposed a hybrid iterative algorithm used to signal detection on uplink for large-scale MIMO systems, which combined adaptive damped Jacobi(DJ) algorithm and conjugate gradient(CG) algorithm. Firstly, this paper used CG algorithm to provide effective search direction for adaptive damped Jacobian iterative algorithm. Then, it proposed Chebyshev method to eliminate the influence of relaxation parameters on signal detection to reduce the complexity of the algorithm and accelerate the convergence speed. Finally, it used the bit likelihood ratio in channel coding and decoding to solve the soft information approximately, which could improve detection performance. This paper analyzed the complexity of algorithm quantitatively in the theory, and studied the bit error rate performances with different decision methods and analyzed convergence of hybrid iterative algorithm by simulation experiments. The simulation results show that the hybrid iterative algorithm converges quickly and approximately achieves the best MMSE detection performance under a small number of iterations, and the algorithm's complexity is far lower than that of MMSE algorithm.

Foundation Support

国家自然科学基金资助项目(61741113)
甘肃省高等学校创新能力提升项目(2019B-052)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0192
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Technology of Network & Communication
Pages: 1524-1528
Serial Number: 1001-3695(2021)05-045-1524-05

Publish History

[2021-05-05] Printed Article

Cite This Article

申东, 赵丹, 李强, 等. 低复杂度的大规模MIMO上行链路软输出信号检测 [J]. 计算机应用研究, 2021, 38 (5): 1524-1528. (Shen Dong, Zhao Dan, Li Qiang, et al. Low-complexity soft-output signal detection on uplink for large-scale MIMO [J]. Application Research of Computers, 2021, 38 (5): 1524-1528. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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