Being a crucial aspect of fifth-generation (5G) mobile communications systems, massively multiple-input multipleoutput (mMIMO) architectures are expected to help achieve the highest key performance indicators. However, the huge numbers of antennas used in such systems make it difficult to determine the inversion of the signal channel matrix relied upon by several detection methods, hence posing a problem with accurate estimation of the symbols sent. In this paper, conjugate gradient (CG) and successive over-relaxation (SOR) methods are selected to construct a new iterative approach that avoids the matrix inversion computation issue. This suggested approach for uplink mMIMO detection is based on a joint cascade structure of both iterative metho...
In this paper, we will represent several methods that can reduce the computational complexity to det...
In this paper, a novel iterative detection technique that combines deep learning (DL) and the approx...
Abstract Several approximate matrix inversion methods have been used in linear massive MIMO uplink ...
Although the mean square error (MMSE) approach is recognized to be near optimal for uplinking large-...
The emerging large-scale/massive multi-input multioutput (MIMO) system combined with orthogonal freq...
Abstract Massive multiple-input multiple-output (MIMO) systems have been proposed to meet the user ...
Massive multiple-input-multiple-output (MIMO) is one of the key technologies in the fifth generation...
Abstract In fifth generation (5G) cellular system, massive multiple-input multiple-output (MIMO) is...
Abstract In this letter, we propose an algorithm based on the alternating minimization technique to...
Massive (or large-scale) MIMO is an emerging technology to improve the spectral efficiency of existi...
Signal detection is a serious challenge for uplink massive multiple-input multiple-output (MIMO) sys...
Generalized spatial modulations (GSM) represent a novel multiple input multiple output (MIMO) scheme...
This paper deals with iterative detection for uplink large-scale MIMO systems. The well-known iterat...
This work addresses symbol detection in timevarying Massive Multiple-Input Multiple-Output (M-MIMO) ...
Abstract One of the 5G promises is to provide Ultra Reliable Low Latency Communications (URLLC) whi...
In this paper, we will represent several methods that can reduce the computational complexity to det...
In this paper, a novel iterative detection technique that combines deep learning (DL) and the approx...
Abstract Several approximate matrix inversion methods have been used in linear massive MIMO uplink ...
Although the mean square error (MMSE) approach is recognized to be near optimal for uplinking large-...
The emerging large-scale/massive multi-input multioutput (MIMO) system combined with orthogonal freq...
Abstract Massive multiple-input multiple-output (MIMO) systems have been proposed to meet the user ...
Massive multiple-input-multiple-output (MIMO) is one of the key technologies in the fifth generation...
Abstract In fifth generation (5G) cellular system, massive multiple-input multiple-output (MIMO) is...
Abstract In this letter, we propose an algorithm based on the alternating minimization technique to...
Massive (or large-scale) MIMO is an emerging technology to improve the spectral efficiency of existi...
Signal detection is a serious challenge for uplink massive multiple-input multiple-output (MIMO) sys...
Generalized spatial modulations (GSM) represent a novel multiple input multiple output (MIMO) scheme...
This paper deals with iterative detection for uplink large-scale MIMO systems. The well-known iterat...
This work addresses symbol detection in timevarying Massive Multiple-Input Multiple-Output (M-MIMO) ...
Abstract One of the 5G promises is to provide Ultra Reliable Low Latency Communications (URLLC) whi...
In this paper, we will represent several methods that can reduce the computational complexity to det...
In this paper, a novel iterative detection technique that combines deep learning (DL) and the approx...
Abstract Several approximate matrix inversion methods have been used in linear massive MIMO uplink ...