MIMO

Summary

In radio, multiple-input and multiple-output (MIMO) (ˈmaɪmoʊ,_ˈmiːmoʊ) is a method for multiplying the capacity of a radio link using multiple transmission and receiving antennas to exploit multipath propagation. MIMO has become an essential element of wireless communication standards including IEEE 802.11n (Wi-Fi 4), IEEE 802.11ac (Wi-Fi 5), HSPA+ (3G), WiMAX, and Long Term Evolution (LTE). More recently, MIMO has been applied to power-line communication for three-wire installations as part of the ITU G.hn standard and of the HomePlug AV2 specification. At one time, in wireless the term "MIMO" referred to the use of multiple antennas at the transmitter and the receiver. In modern usage, "MIMO" specifically refers to a class of techniques for sending and receiving more than one data signal simultaneously over the same radio channel by exploiting multipath propagation. Additionally, modern MIMO usage often refers to multiple data signals sent to different receivers (with one or more

Official source

https://en.wikipedia.org/wiki/MIMO

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Space-time codes of maximal size in MIMO communication

Daniele Rotanzi

Reliability of any communication technology, such as wireless channels, can be measured by the probability of incorrect decoding of a sent message. The lower is this probability the more reliable is the technology. The main problem in wireless communication is that the signals are affected not only by the noise at the receiving antennas (like it is the case for communication through wires), but also by the degradation due to obstacles of the physical environment in which the signals run. This kind of degradation is commonly referred to as fading. In response to this problem and for other technical reasons, Multiple-Input Multiple-Output (MIMO) channels have become increasingly popular in the past decade.

2010

Impact of correlation and coupling on the capacity of MIMO systems

Volker Pauli, Emre Telatar

In this work, we consider the multiple antenna systems in which a large number of antennas occupy a given physical volume, and investigate the behavior of the capacity when increasing the number of antennas. In this regime the assumptions of the standard multiple antenna models become questionable. We introduce several new channel models that better fit this scenario and show that for such "spatially dense" multiple antenna systems, one should expect the behavior of the capacity to be qualitatively different than what the standard of multiple antenna models predict.

2004

We consider a large distributed MIMO system where wireless users with single transmit and receive antenna cooperate in clusters to form distributed transmit and receive antenna arrays. We characterize how the capacity of the distributed MIMO transmission scales with the number of cooperating users, the area of the clusters and the separation between them, in a line-of-sight propagation environment. We use this result to answer the following question: can distributed MIMO provide significant capacity gain over traditional multi-hop in large adhoc networks with n source-destination pairs randomly distributed over an area A? Two diametrically opposite answers [24] and [26] have emerged in the current literature. We show that neither of these two results are universal and their validity depends on the relation between the number of users n and v root A/lambda, which we identify as the spatial degrees of freedom in the network lambda is the carrier wavelength. When root A/lambda >= n, there are n degrees of freedom in the network and distributed MIMO with hierarchical cooperation can achieve a capacity scaling linearly in n as in [24], while capacity of multihop scales only as root n. On the other hand, when root A/lambda

Institute of Electrical and Electronics Engineers2013