Paper
29 July 2024 A large scale MIMO signal detection method based on IPIC
Hao Wang, Zhiming Liu
Author Affiliations +
Proceedings Volume 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024); 132140G (2024) https://doi.org/10.1117/12.3033390
Event: Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 2024, Guangzhou, China
Abstract
With the increasing number of antennas in massive MIMO systems, traditional signal detection algorithms are faced with the challenge of increasing computing load and decreasing detection performance. To solve this problem, a new largescale multi-input multi-output signal detection algorithm, IPICNet, is proposed. Based on the iterative process of IPIC detection algorithm, the algorithm is transformed into a deep neural network structure, and the network structure is improved by introducing trainable parameters. The final simulation results show that the new algorithm has faster convergence speed while maintaining low complexity, and significantly improves the performance of IPIC detection algorithm.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hao Wang and Zhiming Liu "A large scale MIMO signal detection method based on IPIC", Proc. SPIE 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 132140G (29 July 2024); https://doi.org/10.1117/12.3033390
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KEYWORDS
Signal detection

Antennas

Multiple input multiple output

Neural networks

Evolutionary algorithms

Matrices

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