Improving ADMM-based massive MIMO detectors via deep learning
IN Tiba, Q Zhang - Digital Signal Processing, 2023 - Elsevier
Massive multiple-input multiple-output (MIMO) is a potential technology for the fifth
generation (5G) and upcoming cellular communication systems. However, one of the major …
generation (5G) and upcoming cellular communication systems. However, one of the major …
GROAMP-Net: An Intelligent Signal Detection Method for Massive MIMO Systems
Z Zhao, L Liu, S Yang, Y Li - 2023 9th International Conference …, 2023 - ieeexplore.ieee.org
Signal detection in massive Multiple-Input & Multiple-Output (MIMO) systems usually
confronts the challenge of low detection accuracy. Therefore, more effective models and …
confronts the challenge of low detection accuracy. Therefore, more effective models and …
Randomized iterative methods for low-complexity large-scale MIMO detection
In this paper, we introduce a randomized iterative method for signal detection in uplink large-
scale multiple-input multiple-output (MIMO) systems, which not only achieves a low …
scale multiple-input multiple-output (MIMO) systems, which not only achieves a low …
Modified EP MIMO Detection Algorithm with Deep Learning Parameters Selection
H Chen, G Yao, J Hu - arXiv preprint arXiv:2010.09183, 2020 - arxiv.org
Expectation Propagation (EP)-based Multiple-Input Multiple-Output (MIMO) detector is
regarded as a state-of-the-art MIMO detector because of its exceptional performance …
regarded as a state-of-the-art MIMO detector because of its exceptional performance …
Learning Approximate Message Passing MIMO Detector for Multi-Scenarios
Y Ge, H Wang, C Ruan, B Xiong… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Message passing algorithms (MPAs) have been widely investigated in massive multiple-
input multiple-output (MIMO) detectors due to their low complexity and guaranteed …
input multiple-output (MIMO) detectors due to their low complexity and guaranteed …
Generalizing Projected Gradient Descent for Deep-Learning-Aided Massive MIMO Detection
L He, Z Wang, S Yang, T Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, the projected-gradient-descent (PGD)-based detector for massive MIMO
system, which consists of two basic operations—projection and gradient descent (GD), is …
system, which consists of two basic operations—projection and gradient descent (GD), is …
A deep learning approach based on Richardson and Gauss–Seidel for massive MIMO detection
Y Yu, J Ying, S Zhang, J Wang, L Guo… - Transactions on …, 2024 - Wiley Online Library
Massive multiple‐input multiple‐output (MIMO) systems can improve the spectrum utilization
and the system capacity, but this also increases the computational complexity of the signal …
and the system capacity, but this also increases the computational complexity of the signal …
Deep Learning Detector for Large-Scale MIMO Systems with Low-Resolution ADCs
A large-scale multiple-input multiple-out (LS-MIMO) transmission scheme with low-
resolution analog-to-digital converters (ADCs) has become one of the promising techniques …
resolution analog-to-digital converters (ADCs) has become one of the promising techniques …
Efficient GPU-based Large MIMO Detection Algorithm for Next-Generation Communication Systems
Low latency and high throughput are critical features for 5G mobile communication systems
and beyond, in which the support of large MIMO is essential. Signal detection in large …
and beyond, in which the support of large MIMO is essential. Signal detection in large …
A note on implementation methodologies of deep learning-based signal detection for conventional MIMO transmitters
J Xia, D Deng, D Fan - IEEE Transactions on Broadcasting, 2020 - ieeexplore.ieee.org
Baek et al. proposed a deep learning-based signal detector for conventional MIMO systems,
which is a pioneering work of applying artificial intelligence into wireless communications …
which is a pioneering work of applying artificial intelligence into wireless communications …