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Machine Learning and Intelligent Communications. 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings

Research Article

Improvement of CL Algorithm in MIMO-OFDM System

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  • @INPROCEEDINGS{10.1007/978-3-031-04409-0_19,
        author={Xiaolin Jiang and Yu’e Li and Tian Han},
        title={Improvement of CL Algorithm in MIMO-OFDM System},
        proceedings={Machine Learning and Intelligent Communications. 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings},
        proceedings_a={MLICOM},
        year={2022},
        month={5},
        keywords={MIMO-OFDM system Spherical detection algorithm Convergence factor},
        doi={10.1007/978-3-031-04409-0_19}
    }
    
  • Xiaolin Jiang
    Yu’e Li
    Tian Han
    Year: 2022
    Improvement of CL Algorithm in MIMO-OFDM System
    MLICOM
    Springer
    DOI: 10.1007/978-3-031-04409-0_19
Xiaolin Jiang1, Yu’e Li2,*, Tian Han1
  • 1: Teacher-Student Relationship, Jinhua Advanced Research Institute
  • 2: Heilongjiang University of Science and Technology
*Contact email: 1185142481@qq.com

Abstract

The sphere detection algorithm is a low SNR algorithm in the MIMO-OFDM system with low complexity, but it still has a certain complexity. It is challenging to choose its initial radius and determine whether a point is in the ball. The improved algorithm is to find the CL algorithm's initial radius by the particle swarm algorithm's optimization ability. Then the convergence factor is given to speed up the shrinkage speed of the CL algorithm's radius. The improved algorithm is compared with the CL algorithm. The simulation results clear that when the SNR ratio is below 16 dB, the enhanced algorithm significantly affects algorithm complexity. The improvement of the algorithm is proved to be effective and reliable.

Keywords
MIMO-OFDM system Spherical detection algorithm Convergence factor
Published
2022-05-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-04409-0_19
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