Precoding and beamforming techniques in mmwave-massive mimo: Performance assessment
Massive MIMO and mmWave communication are the technologies for achieving 5G design
goals. Fortunately, these two technologies share a symbiotic integration. As a result …
goals. Fortunately, these two technologies share a symbiotic integration. As a result …
Online sparse DOA estimation based on sub–aperture recursive LASSO for TDM–MIMO radar
J Luo, Y Zhang, J Yang, D Zhang, Y Zhang, Y Zhang… - Remote Sensing, 2022 - mdpi.com
The least absolute shrinkage and selection operator (LASSO) algorithm is a promising
method for sparse source location in time–division multiplexing (TDM) multiple–input …
method for sparse source location in time–division multiplexing (TDM) multiple–input …
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 …
Data detection in decentralized and distributed massive MIMO networks
In order to meet the user demands in performance and quality of services (QoS) for beyond
fifth generation (B5G) communication systems, research on decentralized and distributed …
fifth generation (B5G) communication systems, research on decentralized and distributed …
Efficient QAM signal detector for massive MIMO systems via PS/DPS-ADMM approaches
Q Zhang, J Wang, Y Wang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
In this paper, we design two efficient quadrature amplitude modulation (QAM) signal
detectors for massive multiple-input multiple-output (MIMO) communication systems via the …
detectors for massive multiple-input multiple-output (MIMO) communication systems via the …
Low-complexity implicit detection for massive MIMO using Neumann series
X Zhang, H Zeng, B Ji, G Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In massive MIMO systems, the high complexity of signal detection comes mainly from
computing a Gram matrix and its inversion. In this correspondence, we propose a low …
computing a Gram matrix and its inversion. In this correspondence, we propose a low …
Low-complexity LMMSE-based iterative soft interference cancellation for MIMO systems
S Park - IEEE Transactions on Signal Processing, 2022 - ieeexplore.ieee.org
This paper presents a low-complexity linear minimum mean-squared-error-based iterative
soft interference cancellation (LMMSE-ISIC) scheme for multiple-input multiple-output …
soft interference cancellation (LMMSE-ISIC) scheme for multiple-input multiple-output …
Likelihood ascent search‐aided low complexity improved performance massive MIMO detection in perfect and imperfect channel state information
S Chakraborty, NB Sinha, M Mitra - International Journal of …, 2022 - Wiley Online Library
Massive multiple‐input multiple‐output (MIMO) systems improve spectral efficiency and link
reliability. Linear minimum mean‐squared error (MMSE) detectors can achieve optimal …
reliability. Linear minimum mean‐squared error (MMSE) detectors can achieve optimal …
LAMANet: A real-time, machine learning-enhanced approximate message passing detector for massive MIMO
S Brennsteiner, T Arslan, JS Thompson… - … Transactions on Very …, 2022 - ieeexplore.ieee.org
Model-driven machine learning for signal detection in the physical layer of mobile
communication systems combines well-known detector structures with learned parameters …
communication systems combines well-known detector structures with learned parameters …
DUIDD: Deep-unfolded interleaved detection and decoding for MIMO wireless systems
Iterative detection and decoding (IDD) is known to achieve near-capacity performance in
multi-antenna wireless systems. We propose deep-unfolded interleaved detection and …
multi-antenna wireless systems. We propose deep-unfolded interleaved detection and …