Optical Wireless Communication using Digital Pulse Interval

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Free Space Optical

Communications

Professor Z GHASSEMLOOY

Associate Dean for Research

Optical Communications Research Group,

School of Computing, Engineering and Information Sciences

The University of Northumbria

Newcastle, U.K.

http://soe.unn.ac.uk/ocr/

Iran 2008

1

Northumbria University at Newcastle, UK

2

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Outline

Introduction

Why the need for optical wireless?

FSO

FSO - Issues

Some results

Final remarks

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OCRG Research Areas

Optical Communications

Wired Wireless

Optical Fibre

Communications

Chromatic dispersion compensation using optical signal processing

Pulse Modulations

• Optical buffers

Optical CDMA

Photonic

Switching

• Fast switches

All optical routers

Indoor

Pulse Modulations

• Equalisation

Error control coding

• Artificial neural network &

Wavelet based receivers

Free-Space

Optics

(FSO)

Subcarrier modulation

 Spatial diversity

 Artificial neural network/Wavelet based receivers

4

HK Poly-Univ. 2007

OCRG People

Staff

• Prof. Z Ghassemlooy

• J Allen

• R Binns

• K Busawon

• Wai Pang Ng

Visiting Academics

• Prof. Jean Pierre, Barbot

France

• Prof. I. Darwazeh

UCL

• Prof. Heinz Döring

Hochschule Mittweida Univ. of Applied Scie. (Germany)

• Dr. E. Leitgeb

Graz Univ. of Techn. (Austria)

PhD

• M. Amiri

• M. F. Chiang:

• S. K. Hashemi

• R. Kharel

• W. Loedhammacakra

• V. Nwanafio

• E. K. Ogah

• W. O. Popoola

• S. Rajbhandari (With IMLab)

• Shalaby

• S. Y Lebbe

MSc and BEng

• A Burton • D Bell

• G Aggarwal • M Ljaz

• O Anozie • W Leong

(BEng)

• S Satkunam (BEng)

Photonics Applications

• Photonics in communications: expanding and scaling

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Long-Haul Metropolitan Home access

Board -> Inter-Chip -> Intra-Chip

• Photonics: diffusing into other application sectors

Health

(“bio-photonics”)

Environment sensing

Security imaging

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RF & Optical Communications -

Integration

Radio on

Fibre

Traditional

Radio

Traditional

Optics

Optical

Wireless

Fibre Free Space

Transmission Channel

Free Space Optical

(FSO)

Communications

The Problem?

AND THAT IS ?

….. BANDWIDTH when and where required.

Over the last 20 years deployment of optical fibre cables in the backbone and metro networks have made huge bandwidth readily available to within one mile of businesses/home in most places.

But , HUGE BANDWIDTH IS STILL NOT AVAILABLE TO THE END

USERS.

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Optical Wireless Communication

Abundance of unregulated bandwidth 200 THz in the 700-1500 nm range

No multipath fading Intensity modulation and direct detection

What does

It

Offer

?

High data rate – In particular line of sight (in and out doors)

Improved wavelength reuse capability

Flexibility in installation

Secure transmission

Flexibility Deployment in a wide variety of network architectures.

Installation on roof to roof, window to window, window to roof or wall to wall.

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Optical Wireless Communication

c k b a s

D r a w

Multipath induced dispersion (non-line of sight, indoor) Limiting data rate

SNR can vary significantly with the distance and the ambient noise

(Note SNR

P r

2 )

Limited transmitted power Eye safety (indoor)

High transmitted power Outdoor

Receiver sensitivity

May be high cost Compared with RF

Large area photo-detectors Limits the bandwidth

Limited range: Indoor: ambient noise is the dominant (20-30 dB larger than the signal level . Outdoor: Fog and other factors

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Access Network bottleneck

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12

12

(Source: NTT)

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Access Network Technology

xDSL

 Copper based (limited bandwidth)- Phone and data combine

 Availability, quality and data rate depend on proximity to service provider’s

C.O.

Radio link

 Spectrum congestion (license needed to reduce interference)

 Security worries (Encryption?)

 Lower bandwidth than optical bandwidth

 At higher frequency where very high data rate are possible, atmospheric attenuation(rain)/absorption(Oxygen gas) limits link to ~1km

Cable

 Shared network resulting in quality and security issues.

 Low data rate during peak times

FTTx

 Expensive

 Right of way required - time consuming

 Might contain copper still etc

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Optical Wireless Communications

 Using optical radiation to communicate between two points through unguided channels

 Types

- Indoor

- Outdoor (Free Space Optics)

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FSO Basics

 Cloud

 Rain

 Smoke

 Gases

 Temperature variations

 Fog and aerosol

Transmission of optical radiation through the atmosphere obeys the Beer-

Lamberts’s law:

2

P r

P t

 d

1

2

( d

D

2

L )

2

10

 

L / 10

Dominant term at

99.9% availability

α : Attenuation coefficient dB/km – Not controllable and is roughly independent of wavelength in heavy attenuation conditions.

d

1 and d

2

: Transmit and receive aperture diameters (m)

D: B eam divergence (mrad)(1/ e for Gaussian beams; FWHA for flat top beams),

This equation fundamentally ties FSO to the atmospheric weather conditions

Link Range L

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FSO Link

 Transmitter

 Lasers 780,850,980,1550nm, also 10 microns

 Beam control optics o Multiple transmit apertures to reduce scintillation problems o Tracking systems to allow narrow beams and reduced geometric losses

 Receiver

 Collection lens

 Solar radiation filters (often several)

 Photodetector Large area and low capacitance (PIN/APD)

 Amplifier and receiver o Wide dynamic range requirement due to very high clear air link margin o Automatic gain and transmitter power control

Optical Components – Light Source

Operating

Wavelength

(nm)

~850

~1300/~1550

Laser type Remark

VCSEL Cheap, very available, no active cooling, reliable up to ~10Gbps,

Fabry-Perot/DFB Long life, compatible with EDFA, up to

40Gbps

50 –65 times as much power compared with 780-850 nm

~10,000 Quantum cascade laser (QCL)

Expensive, very fast and highly sensitive

Ideal for indoor (no penetration through window)

For indoor applications LEDs are also used

 Eye safety 17 Class 1M

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Optical Components – Detectors

Material/Structure

Silicon PIN

InGaAs PIN

Silicon APD

Wavelength

(nm)

300

1000

400

– 1100

– 1700

– 1000

Responsivity

(A/W)

Typical sensitivity

0.5

0.9

-34dBm@

155Mbps

-46dBm@

155Mbps

77 -52dBm@

155Mbps

9

Gain

1

1

150

InGaAs APD

Quantum –well and

Quatum-dot

(QWIP&QWIP)

1000 – 1700

~10,000

10

Germanium only detectors are generally not used in FSO because of their high dark current.

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Existing System Specifications

 Range: 1-10 km (depend on the data rates)

 Power consumption up to 60 W

 15 W @ data rate up to 100 mbps and

=780nm, short range

 25 W @ date rate up to 150 Mbps and

= 980nm

 60 W @ data rate up to 622 Mbps and

= 780nm

 40 W @ data rate up to 1.5 Gbps and

= 780nm

 Transmitted power: 14 – 20 dBm

 Receiver: PIN (lower data rate), APD (>150 mbps)

 Beam width: 4-8 mRad

 Interface: coaxial cable, MM Fibre, SM Fibre

 Safety Classifications: Class 1 M (IEC)

 Weight: up to 10 kg

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Power Spectra of Ambient Light Sources

1.2

1

0.8

0.6

0.4

0.2

0

P ave)amb-light

>> P ave)signal

(Typically 30 dB with no optical filtering)

Sun Incandescent

1 st window IR

Fluorescent x 10

2 nd window IR

20

20

Wavelength (

 m)

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FSO Characteristics

 Narrow low power transmit beaminherent security

 Narrow field-of-view receiver

 Similar bandwidth/data rate as optical fibre

 No multi-path induced distortion in LOS

 Efficient optical noise rejection and a high optical signal gain

 Suitable to point-to-point communications only (out-door and in-door)

 Can support mobile users using steering and tracking capabilities

 Used in the following protocols:

- Ethernet, Fast Ethernet, Gigabit Ethernet, FDDI, ATM

- Optical Carriers (OC)-3, 12, 24, and 48.

 Cheap (cost about $4/Mbps/Month according to fSONA)

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Cost Comparison

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Source:

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Existing Systems

 Auto tracking systems - 622 Mbps [Canobeam]

 TereScop - 1.5 Mbps to 1.25 Gbps (500m – 5km)

 Cable Free - 622 Mbps to 1.25 Gbps (High power class 3B

Laser at 100 mW)

 Microcell and cell-site backbone – GSM, GPRS, 3G and EDGE traffic o No Frequency license o No Link Engineering o Management via SNMP, RS232 o or GSM connection

 Last mile o 155 Mbps STM-1 links o 622 Mbps ATM link for Banks etc

When Did It All Start?

800BC - Fire beacons (ancient Greeks and Romans)

150BC - Smoke signals (American Indians)

1791/92 - Semaphore (French)

1880 Alexander Graham Bell demonstrated the photophone – 1 st

FSO ( THE GENESIS)

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(www.scienceclarified.com)

1960s - Invention of laser and optical fibre

1970s - FSO mainly used in secure military applications

1990s to date - Increased research & commercial use due to successful trials

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FSO Applications

In addition to bringing huge bandwidth to businesses /homes FSO also finds applications in :

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Hospitals

Cellular communication back-haul

Others:

 Inter-satellite communication

 Disaster recovery

 Fibre communication back-up

 Video conferencing

 Links in difficult terrains

 Temporary links

Multi-campus university e.g. conferences

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FSO challenges…

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Hybrid FSO/RF Wireless Networks

RF wireless networks

Broadcast RF networks are not scaleable

RF cannot provide very high data rates

RF is not physically secure

- High probability of detection/intercept

Not badly affected by fog and snow, affected by rain

 A Hybrid FSO/RF Link

- High availability (>99.99%)

- Much higher throughput than RF alone

- For greatest flexibility need unlicensed RF band

LOS Hybrid Systems

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Video-conference for Tele-medicine CIMIC-purpose and disaster recovery

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FSO Challenges

Major challenges are due to the effects of:

CLOUD,

RAIN,

SMOKE, GASES,

TEMPERATURE VARIATIONS

FOG & AEROSOL

POINT A

To achieve optimal link performance, system design involves tradeoffs of the different parameters.

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POINT B

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FSO Challenges - Rain

= 0.5 – 3 mm

Effects Options Remarks

Photon absorption  Increase transmit optical power

Effect not significant

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FSO Challenges Physical Obstructions

Pointing Stability and Swaying Buildings

Effects Solutions

 Loss of signal  Spatial diversity

 Multipath induced  Mesh architectures: using

Distortions

Low power due to spreading

 beam divergence and diverse routes

Ring topology: User ’ s n/w become nodes at least one hop away from the ring

 Fixed tracking (short

 Short term loss of buildings) signal

 Active tracking (tall buildings)

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Remarks

 May be used for urban areas, campus etc.

 Low data rate

 Uses feedback

FSO Challenges – Aerosols Gases &

Smoke

Effects

 Mie scattering

 Photon absorption

 Rayleigh scattering

Solutions

 Increase transmit power

 Diversity techniques

Remarks

 Effect not severe

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FSO Challenges - Fog

= 0.01 - 0.05 mm

In heavy fog conditions, attenuation is almost constant with wavelength over the

780 –1600 nm region.

In fact, there are no benefits until one gets to millimeter-wave wavelengths.

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Effects

 Mie scattering

 Photon absorption

Options

 Increase transmit optical power

 Hybrid FSO/RF

Remarks

 Thick fog limits link range to ~500m

 Safety requirements limit maximum optical power

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FSO Challenges - Fog

Weather condition

Dense fog

Thick fog

Moderate fog

Light fog

Thin fog

Haze

Light haze

Clear

Very clear

Precipitation

Snow

Snow Cloudburs t

Snow Heavy rain

Snow

Snow

Snow

Medium rain

Light rain

Drizzle

Amount

(mm/hr)

Visibility dB

Loss/km

Typical Deployment Range

(Laser link ~20dB margin)

100

25

12.5

2.5

0.25

0 m

50 m

200 m

500 m

770 m

1 km

1.9 km

2 km

2.8 km

4 km

5.9 km

10 km

18.1 km

20 km

23 km

50 km

-271.65

-59.57

-20.99

-12.65

-9.26

-4.22

-3.96

-2.58

-1.62

-0.96

-0.44

-0.24

-0.22

-0.19

-0.06

122 m

490 m

1087 m

1565 m

1493 m

3238 m

3369 m

4331 m

5566 m

7146 m

9670 m

11468 m

11743 m

12112 m

13771 m

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(H.Willebrand & B.S. Ghuman, 2002.)

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FSO Challenges Beam Divergence

 Beam width

 Typically, for FSO transceiver is relatively wide: 2 –10-mrad divergence, (equivalent to a beam spread of 2 –10 m at 1 km), as is generally the case in non-tracking applications.

 Compensation is required for any platform motion

 By having a beam width and total FOV that is larger than either transceiver’s anticipated platform motion.

 For automatic pointing and tracking,

 Beam width can be narrowed significantly (typically, 0.05

–1.0 mrad of divergence (equivalent to a beam spread of 5 cm to 1 m at 1 km)

- further improving link margin to combat adverse weather conditions.

- However, the cost for the additional tracking feature can be significant.

FSO Challenges - Others

 Background radiation

 LOS requirement

 Laser safety

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 Free Space Optics

 Characteristics

 Challenges

 Turbulence

- Subcarrier intensity multiplexing

- Diversity schemes

 Results and discussions

 Wavelet ANN Receiver

 Final remarks

FSO Challenges Turbulence

Effects Options

 Irradiance fluctuation

 Diversity techniques

(scintillation)

 Forward error control

 Image dancing

 Phase fluctuation control

 Robust modulation

 Beam spreading techniques

 Polarisation fluctuation

 Adaptive optics

 Coherent detection not used due to Phase fluctuation

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Remarks

 Significant for long link range (>1km)

 Turbulence and thick fog do not occur together

 In IM/DD, it results in deep irradiance fades that could last up to ~1100 μs

FSO Challenges - Turbulence

Cause: Atmospheric inhomogeneity / random temperature variation along beam path.

The atmosphere behaves like prism of different sizes and refractive indices

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Phase and irradiance fluctuation

Result in deep

• Zones of differing density act as lenses, signal fades that lasts for ~1100 μs scattering light away from its intended path.

• Thus, multipath .

Depends on:

 Altitude/Pressure, Wind speed,

Temperature and relative beam size.

 Can change by more than an order of magnitude during the course of a day, being the worst, or most scintillated, during midday (highest temperature).

 However, at ranges < 1 km, most FSO systems have enough dynamic range or margin to compensate for scintillation effects.

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Turbulence – Channel Models

Irradiance PDF: p

I

( I )

1

2

  l

1 exp

I



(ln( I / I

0

)

2

 l

2

 l

2

/ 2 )

2

I

0

Model

Log Normal

I-K

Comments

Simple; tractable

Weak regime only

Weak to strong turbulence regime

Strong regime only

Saturation regime only

K

Rayleigh/Negative

Exponential

Gamma-Gamma All regimes

Irradiance PDF by Andrews et al (2001):

Based on the modulation process the received irradiance is I

I x

I y p ( I )

2 (



)

(

  

) / 2

(

)

(

)

I

(

  

2

)

1 

  

( 2



I ) I

0 I x

: due to large scale effects; obeys Gamma distribution

  

 exp



( 1

0 .

49

 l

2

1 .

11

 l

12 / 5

)

7 / 6

  

 exp



( 1

0 .

0 .

51

 l

69

 l

12

2

/ 5

)

5 / 6



1

1

I y

: due to small scale effects; obeys Gamma distribution

K n (.): modified Bessel function of the 2nd kind of order n



1

1 with spatial diversity

σ l

2 : Log irradiance variance

(turbulence strength indicator)

To mitigate turbulence effect we, employ subcarrier modulation

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Turbulence Effect on OOK

No Pulse Bit “0”

No Intensity Fading

Threshold level

A/2

With Intensity Fading

A

Pulse Bit “1”

A

All commercially available systems use OOK with fixed threshold which results in sub-optimal performance in turbulence regimes

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Turbulence Effect on OOK

Using optimal maximum a posteriori (MAP) symbol-by-symbol detection with equiprobable OOK data: d

ˆ

( t )

 arg max d

P ( i r

/ d ( t ))

 

0 exp exp

(( i r ln( I

RI )

2  i r

2

)

2

2

/ I

0

)

2

 l

2

 l

2

/ 2

2

 dI

1

2

 l

2

1

.

I

0.5

0.45

0.4

Noise variance

0.5*10

-2

10

-2

3*10

-2

5*10

-2

0.35

0.3

OOK based FSO requires adaptive threshold to perform optimally….

0.25

0.2

….but subcarrier intensity modulated FSO does not

0.15

0.1

0 0.1

0.2

0.3

0.4

0.5

0.6

0.7

Log Intensity Standard Deviation

0.8

0.9

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1

SIM – System Block Diagram

d ( t )

Data in

Serial/parallel converter .

.

Subcarrier modulator

DC bias m ( t )

.

.

Summing circuit m ( t )+ b o

Optical transmitter

Atmospheric channel d ’( t )

Data out

Parallel/serial converter

.

.

Subcarrier demodulator

Spatial diversity combiner i r

Photodetector array

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Subcarrier Intensity Modulation

 No need for adaptive threshold

 To reduce scintillation effects on SIM

 Convolutional coding with hard-decision Viterbi decoding (J. P. KIm et al 1997)

 Turbo code with the maximum-likelihood decoding (T. Ohtsuki, 2002)

 Low density parity check (for burst-error medium):

- Outperform the Turbo-product codes.

- LDPC coded SIM in atmospheric turbulence is reported to achieve a coding gain >20 dB compared with similarly coded OOK

(I. B. Djordjevic, et al 2007)

 SIM with space-time block code with coherent and differential detection (H. Yamamoto, et al 2003)

 However, error control coding introduces huge processing delays and efficiency degradation

(E. J. Lee et al, 2004)

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SIM – Our Contributions

Multiple-input-multiple-output (MIMO) (an array of transmitters/ photodetectors) to mitigate scintillation effect in a IM/DD FSO link

 overcomes temporary link blockage (birds and misalignment) when combined with a wide laser beamwidth, therefore no need for an active tracking

 provides independent aperture averaging with multiple separate aperture system, than in a single aperture where the aperture size has to be far greater than the irradiance spatial coherence distance (few centimetres)

 provides gain and bit-error performance

 Efficient coherent modulation techniques (BPSK etc.) - bulk of the signal processing is done in RF that suffers less from scintillation

 In dense fog, MIMO performance drops, therefore alternative configuration such as hybrid FSO/RF should be considered

 Average transmit power increases with the number of subcarriers, thus may suffers from signal clipping

 Inter-modulation distortion

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Subcarrier Modulation Transmitter

A

1 g ( t )

PSK modulator

at cosw c1 t

Input data d ( t )

Serial to

Parallel

Converter

.

.

.

.

A

2

.

.

A

M g ( t )

PSK modulator

at cosw c2 t m ( t )

M

 j

1

A j g ( t ) cos( w cj t

  j

)

Σ m ( t ) Σ Laser driver

Atmopsheric channel

DC bias b

0 g ( t )

PSK modulator

at cosw cM t

Modulation index is constrained to avoid over modulation

45

 

[ Rh

0

P t , 0

0

N c

'

]

1

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1

2

Subcarrier Modulation Transmitter

0

-1

-2 m ( t )

 j

M

1

A j g ( t ) cos( w cj t

  j

)

5-subcarriers

-3

-4

-5

0 0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Output power

P

P max

2

 

[ Rh

0

P t , 0

0

N c

'

]

1

m(t) b

0 Drive current

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SIM Receiver

SNR ele

( IRA )

2

2

 2 x g(-t)

PSK Demodulator

Sampler

P r

 i

N  c

1 h i

P t , i

1

  d i

( t ) cos( 2

 f i t

 cosw c1 t n ( t )

Photodetector PSK Demodulator

at cosw c2 t

i r

.

.

.

PSK Demodulator

Photo-current

at cosw cM t i r

( t )

R I ( 1

  m ( t ))

 n ( t )

R = Responsivity, I = Average power,

=

Modulation index, m ( t ) = Subcarrier signal di( t ) = Data

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Parallel to Serial

Converter d

ˆ

( t )

Output data

Subcarrier Modulation

 Performs optimally without adaptive threshold as in OOK

 Use of efficient coherent modulation techniques (PSK, QAM etc.)

- bulk of the signal processing is done in RF where matured devices like stable, low phase noise oscillators and selective filters are readily available.

 System capacity/throughput can be increased

 Outperforms OOK in atmospheric turbulence

 Eliminates the use of equalisers in dispersive channels

 Similar schemes already in use on existing networks

But..

 The average transmit power increases as the number of subcarrier increases or suffers from signal clipping.

 Intermodulation distortion due to multiple subcarrier impairs its performance

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SIM Spatial Diversity

 Single-input-multiple-output

 Multiple-input-multiple-output (MIMO)

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N

N

E

L

C

H

A

F

S

O

SIM Spatial Diversity

i

1

( t ) a

1 i

2

( t ) i

N

( t ) a

2

.

.

.

a

N

.

Combiner

Assuming identical PIN photodetector on each links, the photocurrent on each link is : i

T

( t ) i ri

( t )

PSK

Subcarrier

Demodulator d

ˆ

( t )

R

N

I i

1

M

 j

A j g ( t ) cos( w cj t

  j

)

 n i

( t ) a i is the scaling factor

Maximum Ratio

Combining (MRC) a i i i

Diversity Combining Techniques a

1

Equal Gain

Combining (EGC)

 a

2

...

 a

N

Selection Combining

(SELC). No need for phase information i

T

( t )

 max( i

1

( t ), i

2

( t )...

i

N

( t ))

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SIM Spatial Diversity – Assumptions

Made

 Spacing between detectors > the transverse correlation size ρ o of the laser radiation, because ρ atmospheric turbulence o

= a few cm in

 Beamwidth at the receiver end is sufficiently broad to cover the entire field of view of all N detectors.

 Scintillation being a random phenomenon that changes with time makes the received signal intensity time variant with coherence time

 o of the order of milliseconds.

 Symbol duration T <<

 o

, thus received irradiance is time invariant over one symbol duration.

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Subcarrier Modulation Spatial Diversity

52

One detector

Two detectors

Three detectors

A typical reduction in intensity fluctuation with spatial diversity Eric Korevaar et. al

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 Free Space Optics

 Characteristics

 Challenges

 Turbulence

- Subcarrier intensity multiplexing

- Diversity schemes

 Results and discussions

 Wavelet ANN Receiver

 Final remarks

Error Performance – No Spatial Diversity

Normalised SNR at BER of 10 -6 against the number of subcarriers for various turbulence levels for BPSK

20

15

10

5

Increasing the number of subcarrier/users, results

In increased SNR

0

-5

-10

1 2 3 4 5 6

Number of subcarrier

7 8

Log intensity variance

0.1

0.2

0.5

0.7

9 10

SNR gain compared with OOK

Error Performance – No Spatial Diversity

55

BPSK BER against SNR for M-ary-PSK for log intensity variance = 0.5

2

10

-2

10

-4

DPSK

BPSK

16-PSK

8-PSK

Log intensity variance = 0.5

2

BPSK based subcarrier modulation is the most power efficient

10

-6

10

-8

BER

2 log

2

M

0

Q

SNR e log

2

M sin(

/ M )

 p ( I ) dI

10

-10

20 25

SNR (dB)

30 35 40

Iran 2008

Spatial Diversity Gain

Spatial diversity gain with EGC against Turbulence regime

Saturation

70

60

50

40

30

20

10 Weak

2 Photodetectors

3 Photodetectors

Moderate

Turbulence Regime

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56

Spatial Diversity Gain for EGC and SeLC

25

20

15

Log Intensity

Variance

0.2

2

0.5

2

0.7

2

1

Link margin for SelC is lower than EGC by ~1 to ~6 dB

10

5

0

Dominated by received irradiance, reduced by factor N on each link.

-5

-10

1

EGC

Sel.C

BER = 10 -6

2 3

P e ( SelC )

2 N

N

4 5 6 7 8 9 i n 

[

1 w i

No of Receivers

1 erf ( x i

)

N

1

.

e

(

K

0

2 exp( 2 x i

  i i n

= Zeros of the n th

1 order

Hermite polynomial

10

2

 l

  l

2

))

]

  n

= Weight factor of the n th order i

1

Hermite polynomial

K

0

RI

0

A 2

 2

N

Spatial Diversity Gain for EGC and MRC

30

BER = 10 -6

25

Log Intensity

variance

1

P e ( EGC )

0

 

/

0

2 exp

2

K

1

2 sin

2

(

)

Z

2

1

 m

1 w i

Q ( K

1 e

( x i

2

 u

  u

)

)

P

Z

( Z ) d

 dZ

20

MRC

EGC

15

10

5

0.5

2

0.2

2

P e ( MRC )

1

0

Q

MRC

/ I

 

P

I

 ( I

) d I

/

0

2 

S (

)

N d

,

0

1 2 3

Most diversity gain region

4 5 6

No of Receivers

7 8 9 10

The optimal but complex MRC diversity is marginally superior to the practical EGC

58

Multiple-Input-Multiple-Output

I t1 d ( t )

I t2

BPSK

Modu-

Lator and

Laser

driver

I tH

.

.

.

H

A

N

N

E

L

F

S

O

C i

1

( t ) a

1

Combiner

 i

T

BPSK

Subcarrier

Demodulator d

ˆ

( t ) i

2

( t ) i

N

( t ) a

2

.

.

a

N

.

.

By linearly combining the photocurrents using MRC, the individual SNRe on each link

SNR ele

 i



RA

2 N

 2

59

H j

H 

1

I ij



2

MIMO Performance

10

-3

10

-4

10

-5

10

-6

10

-7

10

-8

10

-9 log intensity variance= 0.5

2

1X5MIMO

1X8MIMO

4X4MIMO

2X2MIMO

1X4MIMO

At BER of 10 -6 :

2 x 2-MIMO requires additional ~0.5 dB of SNR compared with 4photodetector single transmittermultiple photodetector system.

4 x 4-MIMO requires ~3 dB and ~0.8 dB lower SNR compared with single transmitter with 4 and 8photodetectors , respectively.

26

P e

12

1

14 16 18 20 22

SNR (R*E[I])

2

/ No (dB)

/

0

2 

S (

)

N d

,

24

S (

)

1

 j m 

1 w j

K exp

K

2

2

2 sin 2

 exp[ 2 ( x j

RI

0

A

2

2 N

 2

H

60

2

 u

  u

)]

 Free Space Optics

 Characteristics

 Challenges

 Turbulence

- Subcarrier intensity multiplexing

- Diversity schemes

Results and discussions

 Wavelet ANN Receiver

 Final remarks

Transmission System Receiver

Models

Data in TX Channel +

Noise

Data out

… Slicer

MMSE

Data out Slicer Equaliser MF

CWT Data out Slicer

Wavelet - NN

NN

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62

PPM System – NN Equalization

n ( t )

M

0 1 0 0

PPM

Encoder

X j Optical

Transmitter

X ( t ) h ( t )

Z(t )

Optical

Receiver

M

0 0 1 0

PPM

Decoder

Decision

Device

Y j

Neural

Network

.

Z j

Z j -1

.

Z j n

Z j

T s

= M / LR b

Matched

Filter

 A feedforward back propagation neural network .

 ANN is trained using a training sequence at the operating SNR.

 Trained AAN is used for equalization

63

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Impulse Response of Equalized Channel

64

Impulse response of unequalized channel impulse response of equalized channel

• Pulse are spread to adjust pulse .

• ISI depends on pulse spread

• Equalized response in a delta function which is equivalent to a impulse response of the ideal channel

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Results (1)

Slot error rate performance of 8- PPM in diffuse channel with D rms

Mbps of 5ns at 50

65

Adaptive linear equalizer with least mean square (LMS) algorithm is used.

The performance of ANN equalizer is almost identical to the linear equalizer.

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Results (2)

Slot error rate performance of 8- PPM in diffuse channel with D rms

Mbps of 5ns at 100

66

 Unequalized performance at higher data rate is unacceptable at all SNR range

 Linear and neural equalization give almost identical performance.

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Results (3) Wavelet-AI Receiver

67

Wavelet

SNR Vs. the RMS delay spread/bit duration

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Wavelet-AI Receiver Advantages and

Disadvantages

 Complexity

- many parameters & computations.

 High sampling rates

- technology limited.

 Speed

- long simulation times on average machines.

 Similar performance to other equalisation techniques.

 Data rate independent

- data rate changes do not affect structure (just re-train).

 Relatively easy to implement with other pulse modulation techniques.

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Visible Light Optical Wireless System with

OFDM

Visible-light communication system

Down link

Up link

Distribution of illuminance

Distribution of horizantal illuminance [lx]

Number of LEDs

60 x 60 (4 set)

1400

1200

1000

800

600

400

200

5

4

3 y[m]

2

1

0 0

1

2 x[m]

3

4

5

FSO Network – Two Universities in

Newcastle

Agilent Photonic Research Lab

Agilent Photonic

Research Lab

Research Collaboration

A-Block

71

Optical Fibre

Free space optical

Du-plex communication link

(Northumbria and Newcastle Universities) at a data rate of 155 Mbps

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Collaborators

• Graz Technical University, Austria

• Houston University, USA

• University College London, UK

• Hong-Kong Polytechnic University

• Tarbiat Modares University, Iran

• Newcastle University, UK

• Ankara University, Turkey

• Agilent, UK

• Cable Free, UK

• Technological University of Malaysia

• Others

Final Remarks

 Could the promise of optical wireless live up to reality?

 Yes!!

 But

 Optical wireless must complement radio, not compete

 Industry must be bold in research and development

 Lower component cost, and single technology based deviced

 Integration with existing systems

 Lover receiver sensitivity

Of course more research and development at all levels

Iran 2008

73

Summary

 Access bottleneck has been discussed

 FSO introduced as a complementary technology

 Atmospheric challenges of FSO highlighted

 Subcarrier intensity modulated FSO (with and without spatial diversity) discussed

 Wavelet ANN based receivers

74

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74

Acknowledgements

 To many colleagues (national and international) and in particular to all my MSc and PhD students

(past and present) and post-doctoral research fellows

75

Iran 2008

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