Ultra-reliable MU-MIMO detector based on deep learning for 5G/B5G-enabled IoT
In this paper, we propose an ultra-reliable multiuser multiple-input multiple-output (MU-
MIMO) detector based on deep learning for the fifth-generation and beyond the fifth …
MIMO) detector based on deep learning for the fifth-generation and beyond the fifth …
Learning to search for MIMO detection
This paper proposes a novel learning to learn method, called learning to learn iterative
search algorithm (LISA), for signal detection in a multi-input multi-output (MIMO) system. The …
search algorithm (LISA), for signal detection in a multi-input multi-output (MIMO) system. The …
[HTML][HTML] Low-complexity soft-output signal detection based on improved kaczmarz iteration algorithm for uplink massive MIMO system
H Wu, B Shen, S Zhao, P Gong - Sensors, 2020 - mdpi.com
For multi-user uplink massive multiple input multiple output (MIMO) systems, minimum mean
square error (MMSE) criterion-based linear signal detection algorithm achieves nearly …
square error (MMSE) criterion-based linear signal detection algorithm achieves nearly …
Low complexity iterative parallel interference cancellation algorithms for massive MIMO system
B Shen, H Wu, S Zhao, T Cui - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Low complexity iterative parallel interference cancellation (IPIC) algorithms under hard
decision and soft output schemes are proposed for uplink multi-user massive MIMO systems …
decision and soft output schemes are proposed for uplink multi-user massive MIMO systems …