Research Article
SD-Based Low-Complexity Signal Detection Algorithm in Massive MIMO
@INPROCEEDINGS{10.1007/978-3-031-04409-0_20, author={Zhang Lihuan and Jiang Xiaolin}, title={SD-Based Low-Complexity Signal Detection Algorithm in Massive MIMO}, 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={Steepest descent method Approximate solution Minimum Mean Square Error Number of iterations Complexity}, doi={10.1007/978-3-031-04409-0_20} }- Zhang Lihuan
Jiang Xiaolin
Year: 2022
SD-Based Low-Complexity Signal Detection Algorithm in Massive MIMO
MLICOM
Springer
DOI: 10.1007/978-3-031-04409-0_20
Abstract
The steepest descent algorithm (SD) itself can find a better convergence direction, but its own convergence speed is relatively slow, resulting in multiple iterations to approach the true solution. This paper proposes an improvement method for this problem. The principle is to improve the approximate solution obtained after every time the steepest descent algorithm is performed, so as to change the iterative formula and speed up the convergence speed of the algorithm, and then divide the constellation into four regions based on the idea of region division. The points are extracted directly for judgment and no longer participate in subsequent iterations. It is proved by simulation that when the number of iterations of the improved algorithm is consistent with the number of iterations of the steepest descent method, the improved algorithm has an order of magnitude higher detection performance than the original SD algorithm. The improved SD iterative algorithm has 2 iterations and a signal-to-noise ratio greater than 4 dB. The bit error rate is lower than that of the Minimum Mean Square Error (MMSE) detection algorithm, and its own complexity is only 67.4% of that of the SD iterative algorithm 2 iterations. The greater the difference between the number of user antennas and the number of base station antennas, the complexity of the improved algorithm can be even greater low.
