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3 - MIMO encoding

Published online by Cambridge University Press:  18 December 2013

A. Chockalingam
Affiliation:
Indian Institute of Science, Bangalore
B. Sundar Rajan
Affiliation:
Indian Institute of Science, Bangalore
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Summary

The job of MIMO encoding is to map the input symbols, say, from a modulation alphabet, to symbols to be transmitted over multiple transmit antennas. Spatial multiplexing and space-time coding are two well-known MIMO encoding techniques [1],[2]. Spatial modulation (SM) is a more recently proposed scheme for multiantenna communications [3]. These MIMO encoding schemes do not require any knowledge of the CSI at the transmitter, and hence are essentially “open-loop” schemes. MIMO encoding using CSI at the transmitter is referred to as MIMO precoding, which is treated in Chapter 10. Spatial multiplexing is an attractive architecture for achieving high rates. Space-time coding is attractive for achieving increased reliability through transmit diversity. SM serves a different purpose. It allows fewer transmit RF chains than the number of transmit antennas to be used without compromising much on the rate. This reduces the RF hardware complexity, size, and cost. In spatial multiplexing and spacetime coding, information is carried on the modulation symbols. In SM, on the other hand, in addition to modulation symbols, the indices of the antennas on which transmission takes place also convey information. This is why SM does not compromise much on the rate. Among the three MIMO encoding schemes, spatial multiplexing is the simplest, and its complexity rests more at the receiver in detecting the transmitted symbol vector. SM, though simple conceptually, needs additional memory to construct the encoding table at the transmitter for selecting the antennas for transmission.

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Large MIMO Systems , pp. 25 - 39
Publisher: Cambridge University Press
Print publication year: 2014

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References

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  • MIMO encoding
  • A. Chockalingam, Indian Institute of Science, Bangalore, B. Sundar Rajan, Indian Institute of Science, Bangalore
  • Book: Large MIMO Systems
  • Online publication: 18 December 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139208437.004
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  • MIMO encoding
  • A. Chockalingam, Indian Institute of Science, Bangalore, B. Sundar Rajan, Indian Institute of Science, Bangalore
  • Book: Large MIMO Systems
  • Online publication: 18 December 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139208437.004
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • MIMO encoding
  • A. Chockalingam, Indian Institute of Science, Bangalore, B. Sundar Rajan, Indian Institute of Science, Bangalore
  • Book: Large MIMO Systems
  • Online publication: 18 December 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139208437.004
Available formats
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