MIMO Antenna

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    08BEC024 Jaydip Fadadu08BEC030 Kuldip Gor

    Nirma University

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    ` Introduction

    ` Motivation for design

    ` Basics

    ` Diversity and Spatial Multiplexing` Applications

    ` Conclusion

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    ` MIMO Multiple Input Multiple Output

    Array of antennas at transmitter and receiver at input

    Diversity Gain improves BER Spatial Multiplexing improves data rates

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    ` To achieve high data rate that still offer good Quality of

    Service (QoS) ( i.e. improves BER)

    ` But using Less complex system

    Minimum power transmission

    Minimum bandwidth

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    ` In SISO system to achieve high data rate more signal

    power and more bandwidth is required.

    ` A combination a smart modulation, coding and

    multiplexing techniques have yielded good results but

    not sufficient for 1GBPS!!!

    channel

    User data stream

    User data stream

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    ` se multiple antenna at Tx and Rx

    ` Now that supports higher data rates but

    How!!!??? Lets see

    User data streamUser data stream

    .

    .

    1

    2

    MT

    .

    .

    .

    1

    2

    MR

    .

    .

    .

    .

    .

    channel

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    ` Transmitter uses a weighting vector

    u = [u1, u2] while receiver uses a weighting vector

    v = [v1, v2]

    ` Channel coefficient matrix H (??)` s(t) = transmitting signal, r(t) = received signal

    ` r1(t) = (u1H v1) * s1(t) + (u2H v1) * s2(t)

    ` r2(t) = (u1H v2) * s1(t) + (u2H v2) * s2(t)

    ` We can decide value of u and v according to our

    need.

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    ` Diversity Gain Minimize BER

    Reliable QoS

    `

    Spatial Multiplexing Gain` Maximize transmission rate

    ` Uses rich scattering/fading to your advantage

    ` System designs are based on trying to achieve

    either goal or a little of both

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    ` Each pair of transmit-receive antennas provides a signalpath from transmitter to receiver. By sending the SAME

    information through different paths, multiple independently-

    faded replicas of the data symbol can be obtained at the

    receiver end. Hence, more reliable reception is achieved

    ` The maximal diversity gain dmax is the total number ofindependent signal paths that exist between the transmitter

    and receiver

    ` For an (MR,MT) system, the total number of signal paths is

    MRM

    T1 d dmax= MRMT

    ` The higher my diversity gain, the lower my Pe

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    1

    2

    MT

    Channel coding Symbol

    mapping

    Space-Time

    Coding.

    .

    R bits/symbol

    Spectral efficiency = (R*Rc info bits/symbol)(rs)(Rs symbols/sec)/w

    = R*Rc*rs bits/s/Hz assuming Rs = w

    rs is the parameter that we are concerned about: 0 rs MT

    If rs = MT, we are in spatial multiplexing mode (max transmission rate)

    If rs 1, we are in diversity mode

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    Scheme Spectral

    Efficiency

    Pe Implementation

    Complexity

    V-BLAST HIGH HIGH LOW

    D-BLAST MODERATE MODERATE HIGH

    ALAMOUTI LOW LOW LOW

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    the data is divided among large number of closely spaced carriers

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    ` WLAN WiFi 802.11n

    ` Mesh Networks (e.g., MuniWireless)

    ` WMAN WiMAX 802.16e

    ` 4G` Digital Home

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    ` Target applications include: large files backup, HD

    streams,online interactive gaming, home

    entertainment, etc.

    ` Channel bandwidth of 20 MHz and 40 MHz` Current product offerings (pre-N) use only 2

    spatial streams with 3Tx/3Rx in the AP and

    2Tx/3Rx in the mobile supporting up to 300 Mbps

    ` Spatial diversity, spatial multiplexing

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    High capacity (MIMO) cross-links

    WiFi access

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    ` Non line of site, up to 4-6 mbps per user for a fewkm

    ` 2.5 GHz (US) and 3.5 GHz licensed bands

    ` Channel bandwidth from 1.25 to 20 MHz

    ` QPSK, 16 QAM and 64 QAM modulation

    ` OFDMA access (orthogonal uplink)

    ` TDD for asymmetric traffic and flexible BWallocation

    ` Advanced Antenna Systems (AAS):spatialdiversity, spatial multiplexing using MIMO (2x2)

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    ` MIMO delivers whole home coverage with thespeed and reliability to stream multimediaapplications

    ` MIMO can reliably connect cabled video devices,

    computer networking devices, broadbandconnections, phone lines, music, storage devices,etc.

    ` MIMO is interoperable and can leverage the

    installed based of 802.11 wireless that is alreadydeployed: computers, handheld gaming devices,cameras, VoIP Phones, etc.