A low-complexity massive MIMO detection based on approximate expectation propagation
Among various massive multiple-input multiple-output (MIMO) signal detection schemes,
expectation propagation (EP) achieves superior performance in high-dimensional systems …
expectation propagation (EP) achieves superior performance in high-dimensional systems …
Efficient expectation propagation massive MIMO detector with Neumann-series approximation
Expectation propagation (EP) attains near-optimal performance for massive multiple-input
multiple-output (MIMO) detection. However, the inevitable matrix inversions and …
multiple-output (MIMO) detection. However, the inevitable matrix inversions and …
Expectation propagation detector for extra-large scale massive MIMO
The order-of-magnitude increase in the dimension of antenna arrays, which forms extra-
large-scale massive multiple-input-multiple-output (MIMO) systems, enables substantial …
large-scale massive multiple-input-multiple-output (MIMO) systems, enables substantial …
Expectation propagation detection with Neumann-series approximation for massive MIMO
For massive multiple-input multiple-output (MIMO) systems, signal detection is always a key
concern. Traditional detection methods such as minimum mean square error (MMSE) all …
concern. Traditional detection methods such as minimum mean square error (MMSE) all …
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 …
Distributed expectation propagation detection for cell-free massive MIMO
In cell-free massive MIMO networks, an efficient distributed detection algorithm is of
significant importance. In this paper, we propose a distributed expectation propagation (EP) …
significant importance. In this paper, we propose a distributed expectation propagation (EP) …
Fast-converging and low-complexity linear massive MIMO detection with L-BFGS method
L Li, J Hu - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO) uplink, linear minimum mean square error
(MMSE) detection achieves near-optimal performance but suffers from undesirable …
(MMSE) detection achieves near-optimal performance but suffers from undesirable …
Decentralized signal detection via expectation propagation algorithm for uplink massive MIMO systems
The existing centralized antenna array architecture and the corresponding centralized
baseband processing based signal detection algorithms incur huge burden on the raw …
baseband processing based signal detection algorithms incur huge burden on the raw …
Angular-domain massive MIMO detection: Algorithm, implementation, and design tradeoffs
In massive multiple-input multiple-output (MIMO) systems, the large size of channel state
information (CSI) matrix significantly increases the computational complexity of uplink …
information (CSI) matrix significantly increases the computational complexity of uplink …
A partial learning-based detection scheme for massive MIMO
Z Jia, W Cheng, H Zhang - IEEE Wireless Communications …, 2019 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a promising key technology for the fifth-
generation (5G) and future mobile wireless network. Although maximum likelihood (ML) …
generation (5G) and future mobile wireless network. Although maximum likelihood (ML) …