beamforming antennas.ppt

Beamforming Antennas for

Wireless Communications

Yikun Huang, Ph.D.

ECE/CCB

[email protected]

November 24 2003

Outline

Phased Array Antennas

Vector Antennas

Beamforming antennas for WLAN

Conclusion

IntroductionBeamforming and its applicationsBeamforming antennas vs. omnidirectional antennas

Direction of arrival (DOA) estimationBeamformingBasic configurations: fixed array and adaptive arraysmart antenna systems:switched array and adaptive array

DOA and polarizationsuper CART3-loop and 2-loop vector antenna arrayDirection of arrival (DOA) estimationVector antenna vs. phased array antenna

Infrastructure modeAn indoor WLAN designAd hoc modeAd hoc WLAN for rural area

Applications Description

RADAR Phased array RADAR; air traffic control; synthetic aperture RADAR

SONAR Source location and classification

Communications Smart antenna systems; Directional transmission and reception; sector broadcast in satellite communications

Imaging Ultrasonic; optical; tomographic

Geophysical Exploration Earth crust mapping; oil exploration

Astrophysical Exploration High resolution imaging of universe

Biomedical Neuronal spike discrimination; fetal heart monitoring; tissue hyperthermia; hearing aids

Source: B.D.Van Veen and K.M. Buckley, University of Michigan, “Beamforming: A Versatile approach to spatial filtering”,1988

Applications of beamforming technology

Phased array RADAR

http://www.nssl.noaa.gov/rrdd/par/parimages/images/PAR_Dome4.jpg

Phased array spike sorting

0.139

0.544

Ey1n t( )

1.2 1040 t

0.056

0.205

Ey2n t( )

1.2 1040 t

0.042

0.187

Ey3n t( )

1.2 1040 t

SortedSpike of

individual

neurons.

12

34

1 65

67

89

1 41 5

1 31 2

1 11 0

0.139

0.534

Rn 3 t( )

1.2 1040 t

0.183

0.539

Rn 5 t( )

1.2 1040 t

0.147

0.534

Rn 7 t( )

1.2 1040 t

0.147

0.534

Rn 9 t( )

1.2 1040 t

0.183

0.539

Rn 11 t( )

1.2 1040 t

0.139

0.534

Rn 13 t( )

1.2 1040 t

0.14

0.534

Rn 1 t( )

1.2 1040 t

0.148

0.534

Rn 15 t( )

1.2 1040 t

Neuronal spikes

recorded by electrode

array

Ph

ased

arr

ay s

pik

e so

rtin

g s

yste

m

Center for Computational Biology, MSU

Patterns, beamwidth & Gain

Isotropic dipole

top

vie

w(h

ori

zon

tal)

sid

e vi

ew(v

erti

cal)

half-wave dipole beamformer

21 /φ

Half-power beam width



Main lobe

side lobes

nulls

21 /θ78°

Beamformers vs. omnidirectional antennas

1) Beamformers have much higher Gain than omnidirectional antennas: Increase coverage and reduce number of antennas!

Gain:2

1

NG

GN

0

30

60

90

120

150

180

210

240

270

300

330

6

4

2

0

6

9.961 107

Field 6 0 ( )

Field 2 0 ( )

Field 1 0 ( )


2) Beamformers can reject interference while omnidirectional antennas can’t: Improve SNR and system capacity!

3) Beamformers directionally send down link information to the users while omnidirectional antennas can’t: save energy!

user

interference

user

interferencenull


user user

null

multipath

4) Beamformers provide N-fold diversity Gain of omnidirectional antennas: increase system capacity(SDMA)

5) Beamformers suppress delay spread:improve signal quality

DOA estimation

βφkdβφλ

dπkkk sinsinΔ

2

phase delay

1 2 3 4 5 6 7 NN-2 N-1N-3

… …

… …

d

kk φdδ sin

kφ

Plane wave

Beamforming

phase shifters

1 2 3 4 5 6 7 NN-2 N-1N-3

… …

… …

kφ

… …

1,,k 2,,k 3,,k 4,,k 5,,k 6,,k 7,,kN-3,,k N-2,,k N-1,,k N,,k

)sin)((Δ , βφkdN kkN 1

phased array (fixed/adaptive) configurations-time domain

Basic phased array configurations

Narrowband

sN(k)

s2(k)

s1(k)

.

.

.

w*N

w*2

w*1

)(ky

broadband

sN(k)

s2(k)

s1(k)

.

.

.

)(ky

w*N,0 w*N,1 w*N,k-1

. . .

Z-1 Z-1

w*2,0 w*2,1 w*2,k-1

. . .

Z-1 Z-1

w*1,0 w*1,1 w*1,k-1

. . .

Z-1 Z-1

phased array (fixed/adaptive) configuration-frequency domain

Basic phased array configurations

……

…

sN(k)

s2(k)

s1(k)

.

.

.

-+

IFFT

MSE

FFT

w*N

w*2

w*1

)(ky

)(tdFFT

FFT

FFT

broadband

.

.

.

Smart antenna systems

Military networks

Cellularcommunication

networks

Wireless local area networks

switched array adaptive array



Wi-Fi Data rate:11Mbps3G Data rate:100kbps

Switched array (predetermined)

top view(horizontal)


interference

user

1

2

345

6

7

8

9

10

1112 13

14

15

16

user 1

Interference 1top view(horizontal)

user 2


Interference 2

Adaptive array

Smart antenna system

www.vivato.net

12

100

In door range(Mixed Office)

11 Mbps: up to 300m5.5 Mbps: up to 400m 2 Mbps: up to 500m 1 Mbps: up to 600m

Out door range

(outdoor to indoor)

11 Mbps: up to 1.00km5.5 Mbps: up to 1.25km 2 Mbps: up to 2.00km 1 Mbps: up to 2.50km

Out door range(outdoor to outdoor)

11 Mbps: up to 4.20km5.5 Mbps: up to 5.10km 2 Mbps: up to 6.00km 1 Mbps: up to 7.20km

Active user per switch 100

Example: Vivato 2.4 GHz indoor & outdoor Wi-Fi Switches

(EIRP=44dBm;Gain=25 dBi;3-beam)

Polarizationcircular

E

linear

=0

E

E

ellipse

=45

X

Y

Z

iE

ηji eγE sin

γE i cos

’

E

E

=90

E

SuperCART Compact array radiolocation technologyFlam&Russell,Inc.,1990U.S. Patent No., 5,300,885;1994Frequency range: 2 – 30 MHz

Super CART

3-loopV6

V4

V3

V1 V2

V5

Y

X L

e ZIV )0(0 L

e ZIV )(

iHz 0ˆ

I

iEy 0ˆ

Ikb0.5

b

2-loop

HE

S

Steering vector

γ

γa

η

cos

esin

Θsin

ΘcosΦcosΦsin

Θsin

ΦcosΘcosΦsin

h

h

e

ej

z

x

z

y

0

0

00

00

04

ζH

ii E00

1222 zyx eee

1222 zyx hhh

Blind point

Vector antennas vs. spatial array antennas

Vector antennas measure: ,,,, and power simultaneously, no phase shift device, or synchronization is needed.

Phased array antennas with omnidirectional element measure: ,, and power

Source: Nehorai,A.,University of Illinois at Chicago


VA

SA

VA SA


Phased array antennas: spatial ambiguities exist

2211 φfφf sinsin

1 2 3 4 5 6 7… …

kφ

kφ

1 2 3 4 5 6 7… …

1φ

2φ

Pηγθφ ,,,,h,h,h,e,e,e zyxzyx

Vector antenna: no ambiguities for DOA estimation

Vector antennas Vs. phased array antennas

Disadvantages of vector antennas

Cheap?

Can use hardware and software of existing communication systems for performance?

f=2.4GHz, =0.125m; vector antenna size: 0.0125m ~ 0.063m

Phased array:d /2=0.063m;L=(N-1)d: 0.188m-0.69m(N=4…12)

f=800MHz, =0.375m; antenna size: 0.04m ~ 0.19m

Phased array:d /2=0.19m;L=(N-1)d: 0.56m-2.06m(N=4…12)

Low profile?

source:M.R. Andrews et al., Nature, Vol. 409(6818), 18 Jan. 2001, pp 316-318.

Working in scattering environment

(a) 2-dipole(monopole)

Low profile antennas with polarization diversity

(c) dipole-loop

(b) 2-loop

TDD/TDMA

Packet switching

A

AP1 AP2

user

Handoff between Aps was not standardized at the same time as 802.11b

Packet switching: 3 beam systemtop view(horizontal)

i

ii

P

PPd 11

P. Sanchis, et al. 02

iP

1iP

1iP

φΔ

φΔ

1221

12

1221

dφdφ

dφdφ

dφdφ

φi

i

i

DOA

),/Δ(/

),/Δ(

),/Δ(/

ˆ

max

max

max

An indoor WLAN designA 4-story office building (including basement), high 30 m, wide 60m and long 100m. We plan to install a Vivato switched array on the 3rd floor.

L=100m

h=30m

w=60m

Switched array

3

2

1

Basement

An indoor WLAN design

Data rate 1Mbps, 2Mbps, 5.5Mbps, 11Mbps

AP’s EIEP 44dBm

AP’s antenna Gain GA 25 dBi

PC antenna Gain GP 0 dBi

Shadowing 8dB

AP’s antenna receiving sensitivity Smin -95dBm ,-92dBm, ,-89dBm, -86dBm

AP’s Noise floor -178dBm/Hz

Body/orientation loss 2dB

Soft partition attenuate factor (p= number) p1.39 dB

Concrete-wall attenuate factor(q= number) q2.38 dB

Average floor attenuation(floor number) 14.0dB(1),19.0dB(2),23.0dB(3),26.0dB(4)

Frequency 2.4GHz

Reference pathloss PL0 (LOS/NLS, r=1m) 45.9dB/ 50.3dB

Pathloss exponent (LOS/NLS, r=1m) 2.1/3.0

Pathloss standard deviation (LOS/NLS) 2.3dB/4.1dB

Average floor attenuation(floor number) 14.0dB(1),19.0dB(2),23.0dB(3),26.0dB(4)

Data of AP’s antenna is from www.vivato.net

An indoor WLAN design

Mean pathloss with smin: PGSEIRPL min

osdflsmwallowable LLLLLLPL

Path loss model: )log()(0

0 10r

rγPLrPL

alPLrPL )(

The coverage ranges are:r=36m,29m,23m and 18m for date rate at 1Mbps, 2Mbps, 5.5Mbps and 11Mbps respectively

Allowable pathloss:

Case 1: user is on the 3rd floor: 3 concrete walls, 3 soft partitions

The coverage ranges are: r=176m,140m,111m and 88m for date rate at 1Mbps, 2Mbps, 5.5Mbps and 11Mbps respectively .

Case 2: user is in the basement : 3 floors; 2 concrete walls, 3 soft partitions

Beamforming antennas in ad hoc networks

P.Gupta and P.R. Kumar,00

thro

ughp

ut o

btai

ned

by e

ach

node

nn log

W~

Beam-forming antennas

?

new routing protocol

new channel access scheme


interference

target

Phased patch antenna

D.Lu and D.Rutledge,Caltech,02

Z0=50

Z0=50,L/2

Z0=25,L/2

Series resonant patch array

Phased patch array


Medium Access Control Protocol(CSMA/CA)

CSMA/CA:carrier sense multiple access/collision avoidance ( for omnidirectional antennas)

(Scheduled/On-demand)Packet routing

Neighbor discovery

No standard MAC protocols for directional antenna

Ad hoc networks may achieve better performance in some cases using beamforming antennas.

No obvious improvement for throughput using beamforming antennas

Neighbor discovery become more complex using beamforming antennas.

Beamforming antennas can significantly increasing node and network lifetime in ad hoc networks.

1) traditional exposed node problem for omnidirectional antennas

Channel access

Source:Y Ko et al., 00

A B C D E

RTS

CTSDATA

ACK

RTS

CTS

DATA

DATA

DATA

ACK

A B C D E

RTS

CTS CTS

DATA

DATA

ACK

RTS

CTS CTS

DATA

DATA

ACK

1) No coverage change. May save power.2) B may not know the location of C.

The nodes are prohibit to transmit or receive signals

The node is free to transmit or receive signals

The node is blocked to communicate with C

2) Omnidirectional and directional antennas solve the exposed node problem

Channel access

A B C D E

RTS

CTS

CTS

DATA

RTS

collision

deafcollision

A B C D E

RTS

CTSDATA

DATA

RTS

3) beamforming antennas create new problems

Neighbor discovery

AB

C

D

E

A

t

Nt“Hello”

AP Neighbors

A B,C

B A,C

C A,B,E

D E

E C,D

Ad hoc WLAN for rural area

Conclusion

Beamforming antenna systems improve wireless network performance

-increase system capacity

-improve signal quality

-suppress interference and noise

-save power

Beamforming antennas improve infrastructure networks performance. They may improve ad hoc networks performance. New MAC protocol standards are needed.

Vector antennas may replace spatial arrays to further improve beamforming performance

beamforming antennas.ppt

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