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Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems Introduction © J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical and Inform. Eng., Centre for Wireless Communications (CWC) 1 Introduction Tutorial MIMO Communications with Applications to (B)3G and 4G Systems Juha Ylitalo

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Page 1: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 1

Introduction

Tutorial ─ MIMO Communications with Applications to (B)3G and 4G Systems

Juha Ylitalo

Page 2: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 2

Introduction

• Short historical note• Advantages of multi-antenna techniques• Adaptive antennas

– - Beamforming: spatial focusing of correlated signals– - Rx/Tx diversity: combining of decorrelated signals– - MIMO: increasing spectral efficiency/ data rates

• Simple example: SINR improvement• Definition of MIMO• Spatial correlation matrix

• Example: Diversity & MIMO in WCDMA

Page 3: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 3

Historical Note

• Multiple antenna transmission used by Marconi in 1901– Four 61m high tower antennas (circular array)– Morse signal for "S" from England to Signal Hill, St.

John, Newfoundland, distance 3425km

• Submarine sonar during 1910's• Acoustic sensor arrays 1910's• RF radars 1940's• Ultrasonic scanners from 1960's

Page 4: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 4

Advantages of Multiple Antenna Techniques

• Resistivity to fading (quality)• Increased coverage• Increased capacity• Increased data rate• Improved spectral efficiency• Reduced power consumption• Reduced cost of wireless network

Some challenges:

- RF: Linear power amplifiers, calibration

- Complex algorithms: DSP requirements, cost

- Network planning & optimisation

Demonstration by Lucent

with 8 Tx /12 Rx antennas:

1.2 Mbit/s in 30kHz

Page 5: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 5

Adaptive Antennas

• An adaptive antenna system consists of several antenna elements, whose signals are processed adaptively in order to exploit the spatial dimension of the mobile radio channel.

R F I F

R F I F

R F I F

+

Baseband processing

Weight

Adaptation

Page 6: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 6

Adaptive Antenna Operation

• Conventional BTS:– radiation pattern covers the whole cell area

• “Smart” Antenna BTS:– adaptive radiation pattern, "spatial filter"– transmission/reception only to/from the desired user

direction– minimise antenna gain to direction of other users

Smart Antenna BTSConventional BTS radiation pattern

Page 7: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 7

Beamforming (beam steering)

-50 0 50-30

-25

-20

-15

-10

-5

0A

rray

Gai

n [d

B]

Azimuth [deg]

DOA1

= 0 deg. DOA

2= 30 deg.

M = 8

• Beamforming = phasing the antenna array elements• Only Direction-of-Arrival (DOA) parameter needed in both

TX and RX: simple and robust• Suits especially well to FDD systems

Page 8: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 8

RX Diversity

• De-correlated (statistically independent) signals received• spatial and polarisation diversity arrangements

Combinedreceived signal

WCDMATransceiver

WCDMATransceiverRX

RXRX

RX

• combining of fading signals:– Maximum Ratio Combining (MRC)

– Interference Rejection Combining (IRC)

Received signal power

0 0.5 1 1.5 2 2.5-15

-10

-5

0

5

10dB

Seconds, 3km/h

4MRC 2MRC

Page 9: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 9

Transmission Diversity

• Multiple antennas available at the BTS

• Terminal: only one antenna

-> downlink suffers from lack of diversity(1) Gainagainstfading

(2) Coherent combininggain (only feedback modes)

Uncorrelatedfading

Signal #2

Signal #1Downlink:Use TX instead of RX diversity

• TX diversity gain:

– Gain against fading– Feedback modes: coherent

combining ("beamforming") gain

• Downlink capacity improvement

RX diversity in terminal is coming soon enabling RX diversity at UE, MIMO, …

Base station

Page 10: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 10

SISO, SIMO, MISO, MIMO

• Single-Input, Single-Output channel suffers from fading• Single-Input, Multiple-Output channel: RX diversity • Multiple-Input, Single-Output channel: TX diversity, Beamforming

Data streamSISO

radio channel Data stream

SIMO

radio channelData stream

CombinerData stream

MISO

radio channelData stream Data stream

Page 11: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 11

Definition of MIMO

• Multiple-Input, Multiple-Output channel• Mapping of a data stream to multiple parallel data streams and

de-mapping multiple received data streams into a single data stream

• Aims at high spectral efficiency / high data rate

M antennas N antennas

MIMO

radio

channel

Serial/ parallel

mapping

Parallel/ serial

mapping

Data streamData stream

Rxx RyyHMN

Requires rich scattering environment

Page 12: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 12

s2

s3

s4

s1

s1, s2, s3, s4

V1

V2

V3

V4

V1

V2

V3

V4

a)

b)

Same signal on all antennas, i.e. conventional Tx diversity/ BF

Different signals on Tx antennas. i.e. true MIMO

Maximum Gain: Transmit Diversity/ BF

Maximum Capacity: Parallel channel transmission

TX diversity& Beamforming vs. MIMO

BLAST (PARC) type of transmission scheme is considered as MIMO, whereas WCDMA STTD is a hybrid, considered as a Tx diversity scheme

Page 13: Tutorial MIMO Communications with Applications to (B)3G ... · PDF fileTutorial ─MIMO Communications with Applications to (B)3G and 4G ... Tutorial #2: MIMO Communications with Applications

Tutorial #2: MIMO Communications with Applications to (B)3G and 4G Systems ─ Introduction

© J. Ylitalo & M. Juntti, University of Oulu, Dept. Electrical andInform. Eng., Centre for Wireless Communications (CWC) 13

Channel capacity (Shannon)

• Represents the maximum error-free bit rate • Capacity depends on the specific channel realization, noise, and

transmitted signal power.

• Single-input single-output (SISO) channel

• Multi-input multi-output (MIMO) channel

Q is the covariance matrix of the transmitted vector

⎟⎟⎠

⎞⎜⎜⎝

⎛+= 2

22 1log ασ

n

PC)()()( tntxty +⋅=α

)()()( ttt nHxy +=

⎥⎥⎦

⎢⎢⎣

⎡⎟⎟⎠

⎞⎜⎜⎝

⎛+= H

n

C HQHI 221detlogσ