Low Complexity Lattice Reduction Aided Detectors for High Load Massive MIMO Systems

Nguyen, Thanh-Binh; Le, Minh-Tuan; Ngo, Vu-Duc

doi:10.1007/s11277-019-06653-y

Cited by 2 publications

(1 citation statement)

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“…As deep learning has made great achievements in other fields, there are more and more research studies on applying deep learning to communication systems [14]. Orthogonal approximation message passing detection neural network uses the idea of the orthogonal approximation message passing detection algorithm, while increasing adjustable parameters using deep learning optimization methods to improve its detection performance.…”

Section: Introductionmentioning

confidence: 99%

5G Massive MIMO Signal Detection Algorithm Based on Deep Learning

Yan

Wang

Zheng

2022

Computational Intelligence and Neuroscience

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Aiming at the problems of poor signal detection effect caused by many interference factors in large-scale MIMO technology scene, this paper proposes a 5G massive MIMO signal detection algorithm based on deep learning. Firstly, the MIMO system model based on neural network is constructed, and Deep Neural Network (DNN) detection is introduced into the receiver of the traditional MIMO system to obtain the information bits or codewords and channel state information transmitted by transmitters. Then, the end-to-end training method is adopted to make neural network learn the mapping relationship of information bits or codewords transmitted by system transceivers. Furthermore, DNN detector is improved based on Simplified Message Passing Detection (sMPD) algorithm, and the correction factor is updated continuously to optimize network parameters to realize the accurate detection and decoding of the MIMO system. Finally, the proposed algorithm is experimentally analyzed based on the TensorFlow deep learning framework. Experimental results show that when signal-to-noise ratio is 10 dB, the bit error rate and mean square error are lower than 0.005 and 0.1, respectively.

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Section: Introductionmentioning

confidence: 99%