Massive MIMO systems for 5G and beyond networks—overview, recent trends, challenges, and future research direction
The global bandwidth shortage in the wireless communication sector has motivated the
study and exploration of wireless access technology known as massive Multiple-Input …
study and exploration of wireless access technology known as massive Multiple-Input …
A low-complexity double EP-based detector for iterative detection and decoding in MIMO
JJ Murillo-Fuentes, I Santos… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
We propose a new iterative detection and decoding (IDD) algorithm for multiple-input
multiple-output (MIMO) based on expectation propagation (EP) with application to massive …
multiple-output (MIMO) based on expectation propagation (EP) with application to massive …
Efficient successive over relaxation detectors for massive MIMO
Massive multiple-input and multiple-output (MIMO) is considered as an advanced technique
in wireless communication due to its high spectral efficiency, data rates, and transmission …
in wireless communication due to its high spectral efficiency, data rates, and transmission …
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 …
An efficient massive MIMO detector based on second-order Richardson iteration: From algorithm to flexible architecture
J Tu, M Lou, J Jiang, D Shu, G He - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Aiming at reducing the complexity of minimum mean square error (MMSE) detection in
massive multiple-input multiple-output (MIMO) systems, this paper proposes a detection …
massive multiple-input multiple-output (MIMO) systems, this paper proposes a detection …
Fast matrix inversion methods based on Chebyshev and Newton iterations for zero forcing precoding in massive MIMO systems
In massive MIMO (mMIMO) systems, large matrix inversion is a challenging problem due to
the huge volume of users and antennas. Neumann series (NS) and successive over …
the huge volume of users and antennas. Neumann series (NS) and successive over …
Low‐complexity signal detection for large‐scale MIMO systems with second‐order Richardson method
IA Khoso, X Zhang, AH Shaikh - Electronics Letters, 2020 - Wiley Online Library
Linear minimum mean‐square error (MMSE) detection achieves near‐optimal performance
in large‐scale multiple‐input multiple‐output (LS‐MIMO) systems but entails high …
in large‐scale multiple‐input multiple‐output (LS‐MIMO) systems but entails high …
Low complexity signal detection for massive-MIMO systems
S Shafivulla, A Patel, MZA Khan - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Maximum likelihood detection is infeasible in uplink multiuser massive multiple-input and
multiple-output (m-MIMO) systems due to the large dimension of the MIMO systems …
multiple-output (m-MIMO) systems due to the large dimension of the MIMO systems …
A low complexity linear precoding method for massive mimo
S Berra, MAM Albreem, MS Abed - … International Conference on …, 2020 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO), the base-station (BS) is equipped with tens
or hundreds of antennas to serve many users. The demand for a low complexity precoding …
or hundreds of antennas to serve many users. The demand for a low complexity precoding …
Performance Analysis of LDPC Coded Massive MIMO-OFDM System
AB Tummala, DR Korrai - 2020 International Conference for …, 2020 - ieeexplore.ieee.org
Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO OFDM)
wireless communication is well known in the literature. However, the problems occur in …
wireless communication is well known in the literature. However, the problems occur in …