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Ralf R. Müller NTNU MIMO Systems: Myths and Realities
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Page 1: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Ralf R. MüllerNTNU

MIMO Systems: Myths and Realities

Page 2: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.
Page 3: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

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Myths

Max Weber 1943

Page 4: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 1: In order to get any noticeable MIMO effect, the

antennas may not be spaced much closer than half a

wavelength.

This myth is a result of erroneous antenna matching.

Page 5: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

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Wallace & Jensen, IEEE Trans. Wirel. Commun. July 2004.

No coupling

Mis-matched couplingMatched coupling

Page 6: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 2: In order to achieve a diversity gain you need to

sacrifice on the multiplexing gain.

This myth is a result of excluding temporal diversity.

Page 7: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Zheng & Tse

Page 8: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 3: For high spectral efficiency, one needs amplitude

modulation.

This mythis a relict of the pre-MIMO era.

Page 9: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

What is more expensive?

Alternative 1:A linear increase of the number of antennas at the transmitter.

Alternative 2:An exponential increase of the voltage the RF-chains have to cope with.

Page 10: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 4: There is a (big) market for

single user MIMO systems.

People (including researchers) like to believe what comforts them.

Page 11: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 5: QPSK always tops BPSK.

This mythis an invalid generalization from single-

user to multi-user communications.

Page 12: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 6: Intersymbol interference is

something one should alwaystry to avoid.

This mythis valid on certain single-user SISO

channels with Gaussian input, but not in general.

Page 13: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Mazo & Landau

Page 14: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 7: Excess bandwidth like roll-off

cannot be utilized.

This mythis also an invalid generalization from

single-user to multi-user communications.

Page 15: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Cottatellucci et al.

Asynchronous multiuser systems have larger (or equal) capacity.

The larger the roll-off the larger the gap.

Page 16: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 8: Power Control is a Good Idea to

Deal with Near-Far Effects.

This mythis the result of commercial interests.

Page 17: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Hanly & Tse

Page 18: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 9: MIMO requires particular codes.

This myth is a historical peculiarity.

Page 19: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Sanderovich et al.

Page 20: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Myth 10: Constant envelop modulation

can’t be equalized at high data rates.

This myth is to be overthrown if MIMO shall become the key

to the wireless revolution.

Page 21: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Realities

Page 22: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Antenna Spacing

It is textbook knowledge in antenna theory that Bouwkamp and de Bruijn showed as early as 1946 that there is no theoretical limit to the directivity of any given aperture size.

Page 23: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Diversity vs. Multiplexing

• Multiplexing gains are expensive.• Diversity almost comes for free.

Why should one sacrifice multiplexing for diversity’s sake?

Page 24: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Diversity on Discount

Parasitic antennas switch on kHz speeds.

Page 25: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Resource Pooling

The antennas of all users are pooled together.

There is no need to distinguish between users and antennas.

Page 26: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

The Resource Pooling View

MIMO is CDMA where the processing gain is provided by antennas.

Page 27: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Amplitude Modulation ?

Page 28: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Space-Time Coding ?

There are no multiuser space-time codes.

For the downlink, we need efficient dirty-paper codes.

Page 29: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

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A Fatal Attraction

Orthogonality lures by its beauty, but it blinds your reason.

Capacity is achieved by random coding.

Page 30: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Amplitude Modulation⁄

any number of users

Page 31: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Resource Pooling

The antennas of all users are pooled together.

There is no need to distinguish between users and antennas.⁄

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Orth. Sanderovich et al.⁄

Page 33: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Orth. Cottatellucci et al.

Asynchronous multiuser systems have larger (or equal) capacity.

The larger the roll-off the larger the gap.⁄

Page 34: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Orth. Mazo & Landau⁄

Page 35: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

Orth. Hanly & Tse⁄

Page 36: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

What’s wrong with Orthogonality?

capacity = output entropy – constant

entropy measures disorder

Page 37: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

OrthogonalFDM ?

OFDM eases equalization.

OFDM prohibits constant envelope modulation like GMSK.

Page 38: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

OFDM vs. CPM

• Simple equalization

• Few antennas

• Linear amplifiers

• Iterativeequalization

• Many antennas

• Cheap amplifiers

MIMO

... is just an add on ... is the enabling tool.

Page 39: Ralf R. Müller NTNU MIMO Systems: Myths and Realities.

My Personal Vision of MIMO

Dozens (hundreds) of closely spaced antennas

CPM modulation

High diversity order due to parasitic elements

Iterative processing of ISI, MUI, and FEC by belief propagation.