The complexity of maximum likelihood detection (MLD) in multiple input multiple output
(MIMO) systems with N transmit antennas typically grows exponentially with N. This makes …

Sphere Detection (SD) method has been used as a powerful mean to find Maximum
Likelihood (ML) solution to the detection problem of Multiple-Input Multiple-Output (MIMO) …

Maximum-likelihood (ML) detection in a multi-antenna system can be cast as a problem of
closest point search in a finite lattice, which can then be efficiently solved by a sphere …

Multiple-input multiple-output (MIMO) technology in combination with orthogonal frequency-
division multiplexing (OFDM) is the key to meet the demands for data rate and link reliability …

A novel fast recursive sphere decoder with parallel competing branches (P-SD) is proposed
for exact maximum-likelihood (ML) detection in multiple-input multiple-output (MIMO) …

The performance of a new detection algorithm for uncoded multiple input-multiple output
(MIMO) systems based on the complex version of the sphere decoder (SD) is analyzed in …

In this paper, we propose a minimum-mean-squared-error (MMSE)-based lattice-reduction
(LR)-aided fixed-complexity sphere decoder (FSD) for low-complexity near-maximum …

Multiple-input-multiple-output (MIMO) systems are recognised as a key enabling technology
in high-performance wireless communications; however, the implementation of high …

It is known that MIMO channel matrix condition number influences detectors performance.
Several authors have proposed combined decoders, mainly suboptimal, to cope with this …

The use of multiple input-multiple output (MIMO) technology is rapidly becoming the new
frontier of wireless communication systems increasing their capacity and spectral efficiency …