How does spatial multiplexing work
Techniques for improving performance Spatial Multiplexing techniques [6] , example — BLAST [7] yields increased data rates in wireless communication links. MIMO classification with respect to antenna configuration In MIMO jargon, communication systems are broadly categorized into four categories with respect to number of antennas in the transmitter and the receiver, as listed below. Diversity: As indicated, two fundamental resources available for a MIMO system are diversity and degrees of freedom.
Single Input Multiple Output Channel with diversity. MIMO system with diversity. Thanks Reply. Thank you very much for you response. Thank you. What about spatial multiplexing? There is no such requirement. Post your valuable comments!!! Cancel reply. This site uses cookies responsibly. Learn more in our privacy policy. Manage consent. Close Privacy Overview This website uses cookies to improve your experience while you navigate through the website.
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Share this Term. This is particularly important because MIMO wireless technology provides a method not of breaking the law, but increasing data rates beyond those possible on a single channel without its use. Shannon's law defines the maximum rate at which error free data can be transmitted over a given bandwidth in the presence of noise. It is usually expressed in the form:.
From this it can be seen that there is an ultimate limit on the capacity of a channel with a given bandwidth. However before this point is reached, the capacity is also limited by the signal to noise ratio of the received signal. In view of these limits many decisions need to be made about the way in which a transmission is made.
The modulation scheme can play a major part in this. The channel capacity can be increased by using higher order modulation schemes, but these require a better signal to noise ratio than the lower order modulation schemes. Thus a balance exists between the data rate and the allowable error rate, signal to noise ratio and power that can be transmitted.
While some improvements can be made in terms of optimising the modulation scheme and improving the signal to noise ratio, these improvements are not always easy or cheap and they are invariably a compromise, balancing the various factors involved. It is therefore necessary to look at other ways of improving the data throughput for individual channels.
MIMO is one way in which wireless communications can be improved and as a result it is receiving a considerable degree of interest.
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