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 …

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

Wireless Communications over MIMO Channels: Applications to CDMA and Multiple
Antenna Systems covers both, state-of-the-art channel coding concepts and CDMA and …

This paper investigates the distribution of the condition number of complex Wishart matrices.
Two closely related measures are considered: the standard condition number (SCN) and the …

Multiple-input multiple-output (MIMO) spatial multiplexing and beamforming are regarded as
key technology enablers for the fifth-generation (5G) millimeter wave (mmWave) mobile …

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 …

Long term evolution (LTE) has become the fastest develo** mobile system technology
and is considered as the fourth generation of wireless communication systems. Multiple …

In this paper, we consider MIMO spatial multiplexing systems and elaborate the impact of the
channel condition number on the performance of ML and ZF detection. In particular, we …

The use of multiple antennas at both ends of the wireless link is known as multiple-input
multiple-output (MIMO) wireless technology and enables to transmit multiple data streams …

As a branch of sphere decoding, the K-best method has played an important role in
detection in large-scale multiple-input-multiple-output (MIMO) systems. However, as the …