To meet growing demand for wireless access to voice, data and multimedia services, current wireless communication technologies need further improvement in spectral effi-ciency. Many enabling technologies have been proposed, including multicarrier modula-tion, multiple-input multiple-output (MIMO

Multiple-input multiple-output (MIMO) systems are well known as a technique which allows increasing the throughput of a radio link and overcoming the effects of multipath fading. However, the integration of MIMO systems into the standards of wireless networks is slow, as there are numerous problems

The idea of using multiple transmit and receive antennas in wireless communication systems is one of the most important breakthroughs in communication theory during the last decade. Popularly referred to as MIMO technology, this concept can greatly improve data throughput and link performance

In recent years, multiple-input multiple-output (MIMO) systems appear to be very promising since they can provide high data rates in environments with sucient scattering by exploiting the spatial domain. To design a real MIMO wireless system and predict its performance under certain circumstances

technology is also called the Large-Scale Antenna

and decoding, a spatially multiplexed multiple-input multiple-output (MIMO) system becomes a convenient framework to offer high data rate, diversity and interference management. While most of the current precoding/decoding de-signs have assumed perfect channel state information (CSI) at the receiver

Abstract—This paper presents a tutorial for network multiple-input and multiple-output (netMIMO) in wireless local area net-works (WLAN). Wireless traffic demand is growing exponentially. NetMIMO allows access points (APs) in a WLAN to cooperate in their transmissions as if the APs form a single

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that relies on the concept of hypermodels, which capture the dynamics for each multipath. First the individual multipaths are resolved and extracted. In this work we also develop a new estimation algorithm based on the Evidence Procedure and the SAGE algorithm that allows to determine the number of multipath

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