Lect 11- MIMO and Space-Time coding.pdf

download Lect 11- MIMO and Space-Time coding.pdf

of 17

Transcript of Lect 11- MIMO and Space-Time coding.pdf

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    1/17

    7/4/2012

    1

    MULTIPLE INPUT MULTIPLEOUTPUT SYSTEMS (MIMO)

    IntroductionMIMO Systems:

    use multiple inputs and multiple outputs from asingle channel

    are defined by Spatial Diversity and SpatialMultiplexing

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    2/17

    7/4/2012

    2

    Spatial Diversity and Spatial Multiplexing

    Spatial Diversity

    Signal copies are transferred from multiple antennasor received at more than one antenna

    redundancy is provided by employing an array ofantennas, with a minimum separation of /2 betweenneighbouring antennas

    Spatial Multiplexing

    the system is able to carry more than one data streamover one frequency, simultaneously

    Why MIMO? There is always a need for increase in performance in

    wireless systems

    Significant increase in spectral efficiency and datarates

    High Quality of Service (QoS)

    Wide coverage, etc.

    Wireless channel that we are using is very unfriendly

    Suffers from Cochannel interference and signal level

    fading It provides a limited bandwidth

    power falls off with distance

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    3/17

    7/4/2012

    3

    MIMO System solutions

    By using Multiple Output Multiple Input (MIMO) systems

    Diversity gain mitigates the fading and increasescoverage and improves QoS

    Multiplexing gain increases capacity and spectralefficiency with no additional power or bandwidthexpenditure

    Array gain results in an increase in average receiveSNR.

    Spatial Diversity and Spatial Multiplexing can beconflicting goals

    Spatial Multiplexing MIMO channels can be decomposed into a number of R parallel

    independent channels Multiplexing Gain

    Principle: Transmit independent data signals from different antennas toincrease the throughput, capacity.

    Source: An Overview of MIMO Systems in Wireless Communications

    www.iet.ntnu.no/projects/beats/Documents/mimo.pdf

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    4/17

    7/4/2012

    4

    MIMO capacity on fading channels

    The capacity increase can be seen by comparing MIMO

    systems with SISO, SIMO, and MISO systems

    SISO:capacity is given by Shannons classical formula:

    Where B is the BW and h is the fading gain

    SIMO (with M transmitting antennas), the capacity is given by

    MISO (with M transmitting antennas), the capacity is given by

    )2

    1(2

    log hsnrBC +=

    )

    1

    21(

    2log

    =

    +=

    m

    n nhsnrBC

    )

    1

    21(

    2log

    =

    +=

    N

    n nh

    N

    snrBC

    MIMO capacity on fading channels

    The capacity for MIMO systems can have the following forms(Assuming Tx antennas = Rx antennas = N):

    A) If the channel is not known at the transmitter:

    Where Es is the total power, 2 is noise level of AWGN

    Hence the power is equally shared by each channel

    The capacity grows linearly with the number of antennas

    B) If the channel is known at the transmitter

    )2

    21(

    2log

    nh

    N

    sE

    NC

    +=

    =

    +=

    N

    n nhn

    EC

    1

    )2

    21(

    2log

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    5/17

    7/4/2012

    5

    Spatial Diversity

    Improves the signal quality and achieves a higher SNR at the

    receiver-side

    Principle of diversity relies on the transmission of structuredredundancy

    xiyi

    MIMO Diversity and Reliability

    The performance improvement in SNR and error probability forMIMO can be compared with SISO, SIMO, and MISO

    The detailed calculation for SNR and Pe is shown in [1]

    SISO:

    Receive Diversity (SIMO): Ninxhy iii ,2,1, =+=

    21

    1

    SNRPe

    +

    nhxy +=

    2

    2

    2

    )( hSNRnE

    hxEhSNR == and

    =N

    i

    hSNRhSNR 2

    )( NSNRPe

    +

    21

    1

    and

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    6/17

    7/4/2012

    6

    MIMO Diversity and Reliability

    The values for SNR and Pe for:

    Transmit Diversity (MISO):

    Transmit/Receive Diversity (MIMO):

    The received signal at antenna i will be:

    H is the channel fading matrix i

    jij

    M

    j

    i nxhy +==1

    MSNR

    Pe

    +

    21

    1

    nxhy jM

    j

    j +==1

    =

    =

    M

    j

    jhSNRhSNR1

    2)( and

    22

    )(},min{

    HSNRHSNRMN

    HSNR

    MN

    MN

    SNRPe

    +

    },min{21

    1

    and

    Conclusion

    The capacity of Receive or Transmit Diversity grows logarithmicallywith the number of antennas

    Capacity of MIMO increases linearly with the number of antennas

    Using Spatial Diversity:

    The SNR increases and Pe decreases when using MIMO

    Spatial Multiplexing and Spatial Diversity are conflicting objectives

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    7/17

    7/4/2012

    7

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    8/17

    7/4/2012

    8

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    9/17

    7/4/2012

    9

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    10/17

    7/4/2012

    10

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    11/17

    7/4/2012

    11

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    12/17

    7/4/2012

    12

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    13/17

    7/4/2012

    13

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    14/17

    7/4/2012

    14

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    15/17

    7/4/2012

    15

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    16/17

    7/4/2012

    16

    Space-Time coding

    Space-Time coding

  • 8/11/2019 Lect 11- MIMO and Space-Time coding.pdf

    17/17

    7/4/2012

    17

    Space-Time coding

    Space-Time coding