The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …

Modern communications systems use multiple-input multiple-output (MIMO) and high-order
QAM constellations for maximizing spectral efficiency. However, as the number of antennas …

Recently, lattice-reduction-aided detectors have been proposed for multiinput multioutput
(MIMO) systems to achieve performance with full diversity like the maximum likelihood …

Lattice reduction is a powerful concept for solving diverse problems involving point lattices.
Signal processing applications where lattice reduction has been successfully used include …

Multi-input multi-output (MIMO) systems equipped with multiple antennas have well
documented merits in combating fading and enhancing data rates. MIMO V-BLAST …

The demand on wireless communications to provide high data rates, high mobility, and high
quality of service poses more challenges for designers. To contend with deleterious channel …

Lattice reduction by means of the LLL algorithm has been previously suggested as a
powerful preprocessing tool that allows to improve the performance of suboptimal detectors …

Linear equalizers (LEs) have been widely adopted for practical systems due to their low
computational complexity. However, it is also well known that LEs provide inferior …

A common technique to perform lattice basis reduction is the Lenstra, Lenstra, Lovasz (LLL)
algorithm. An implementation of this algorithm in real-time systems suffers from the problem …

In multi-input multi-output (MIMO) detection, semidefinite relaxation (SDR) has been shown
to be an efficient high-performance approach. For BPSK and QPSK, it has been found that …