Low‐complexity near‐optimal signal detection for uplink large‐scale MIMO systems
The minimum mean square error (MMSE) signal detection algorithm is near‐optimal for
uplink multi‐user large‐scale multiple‐input–multiple‐output (MIMO) systems, but involves …
uplink multi‐user large‐scale multiple‐input–multiple‐output (MIMO) systems, but involves …
Low-complexity MMSE signal detection based on Richardson method for large-scale MIMO systems
Minimum mean square error (MMSE) signal detection is near-optimal for uplink multi-user
large-scale MIMO systems with hundreds of antennas at the base station, but involves matrix …
large-scale MIMO systems with hundreds of antennas at the base station, but involves matrix …
Matrix inversion-less signal detection using SOR method for uplink large-scale MIMO systems
For uplink large-scale MIMO systems, linear minimum mean square error (MMSE) signal
detection algorithm is near-optimal but involves matrix inversion with high complexity. In this …
detection algorithm is near-optimal but involves matrix inversion with high complexity. In this …
Low-complexity soft-output signal detection based on Gauss–Seidel method for uplink multiuser large-scale MIMO systems
For uplink large-scale multiple-input-multiple-output (MIMO) systems, the minimum mean
square error (MMSE) algorithm is near optimal but involves matrix inversion with high …
square error (MMSE) algorithm is near optimal but involves matrix inversion with high …
Low-complexity signal detection using CG method for uplink large-scale MIMO systems
Y Hu, Z Wang, X Gaol, J Ning - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
Large-scale multiple-input multiple-output (LS-MIMO) is considered as a promising key
technology for future 5G wireless communications due to its very high spectrum and energy …
technology for future 5G wireless communications due to its very high spectrum and energy …
A low complexity data detection algorithm for uplink multiuser massive MIMO systems
JC Chen - IEEE Journal on Selected Areas in Communications, 2017 - ieeexplore.ieee.org
A major challenge for uplink multiuser massive multiple-input and multiple-output (MIMO)
systems is the data detection problem at the receiver due to the substantial increase in the …
systems is the data detection problem at the receiver due to the substantial increase in the …
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 …
A low-complexity data detection algorithm for massive MIMO systems
Achieving high spectral efficiency in realistic massive multiple-input multiple-output (M-
MIMO) systems entail a significant increase in implementation complexity, especially with …
MIMO) systems entail a significant increase in implementation complexity, especially with …
Manifold optimization approach for data detection in massive multiuser MIMO systems
JC Chen - IEEE Transactions on Vehicular Technology, 2017 - ieeexplore.ieee.org
When the number of base station (BS) antennas is considerably larger than the number of
user terminals (UTs), a simple linear minimum mean-square-error (LMMSE) data detection …
user terminals (UTs), a simple linear minimum mean-square-error (LMMSE) data detection …
Low-complexity MMSE detector for massive MIMO systems based on Damped Jacobi method
J Minango, C de Almeida… - 2017 IEEE 28th Annual …, 2017 - ieeexplore.ieee.org
Minimum mean square error (MMSE) linear detector is able to achieve the near-optimal bit
error rate (BER) performance for uplink multi-user massive Multiple-Input Multiple-Output …
error rate (BER) performance for uplink multi-user massive Multiple-Input Multiple-Output …