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Radio Propagation and Networks Research Costas Constantinou School of Electronic, Electrical & Computer Engineering 10 June 2013

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Page 1: Radio Propagation and Networks Research - University of ... · Radio Propagation and Networks Research ... automated using BANs ... Assuming a more realistic microwave system at

Radio Propagation and Networks Research

Costas ConstantinouSchool of Electronic, Electrical & Computer Engineering10 June 2013

Page 2: Radio Propagation and Networks Research - University of ... · Radio Propagation and Networks Research ... automated using BANs ... Assuming a more realistic microwave system at

Introduction

Healthcare– 40 % of critical-care

time spent manually recording patient data in hospitals can be automated using BANs

– ICU spaghetti syndrome

Defence– Monitor vital soldier

signs, provide on-body hi-res video links

Why mm wave BANs?– Good covertness– Reduced interference– Unobtrusiveness– Expensive (not for

long)– Strong shadowing

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Experimental facilites Rhode&Schwarz ZVA67 20dBi horns & monopoles Flexible 2m coaxial cables Laboratory, outdoor and

anechoic chamber environment

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On-body path gain distance dependence

0 10 20 30 40 50-80

-60

-40

-20

0

20

Tx-Rx separation / cm

Path

gai

n / d

B

perpendiculartangentialfree space

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Signal variability

0 5 10 15 20 25 30 35 40

-100

-80

-60

-40

-20

0

Time (s)

Pat

h G

ain

(dB

)

Raw dataLong-term fadingShort-term fading

Moving body; waist to chest channel

Two types of fading cannot be unambiguously attributed to unique physical mechanisms

The time-scales that characterise these can be comparable for fast-moving bodies

Mechanisms include: Small and large-scale

movements of body Motion-induced antenna

misalignment and depolarisation

On-body multipath , |p s l p l p s l

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Signal variability – long-term fading

-100 -80 -60 -40 -20 00

0.02

0.04

0.06

0.08

0.1

Path Gain (dB)

PDF

(a)

Waist to chest shadowing

Blue – monopolesGreen – hornsCurve fits – lognormal

2

2

1 exp24

dBdB

lp l

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Signal variability – short-term fading

-10 -5 0 5 100

0.2

0.4

0.6

0.8

Magnitude (dB)

PD

F

DataCauchy fit

2 2

/|p s p s l dls

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Off-body paths: Covertness

Body channel: BAN + local multipath scattering environment

Propagation channel: free-space

Detection channel

Empirical Observability Study– Characterise an off-body channel of a 60 GHz BAN within a

variety of scattering environments– Propose an observability estimation model using channel

decomposition

R T OB D SW W G G FX

F

OB SG X

DG

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Off-body paths: Covertness

No strong distance dependence implies immersion in scattering environmentAntenna de-embedding is not possible

OB SX G X

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Observability: 60 GHz vs. 2.45 GHz The 60 GHz 1% observability probability threshold

distance for a realistic system both indoors and outdoors was estimated from measurement to be 48 m

The corresponding open environment threshold distance at 2.45 GHz keeping all system parameters unchanged was found to be 808 m

Assuming a more realistic microwave system at 2.45 GHz, the 1% observability distance threshold is 1,437 m (or using a two ray model 576 m)

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Off body paths: Interference

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Off-body paths: Interference

Head-to-belt channel with belt-to-belt channel: CDF of directly measured SIR on 4-port VNA

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Subject: male (178cm, 74 kg) wearing wetsuit

Groups of 3 or 4 markers (“virtual antennas”) placed on head, chest, waist, knee and 4 positions on the right arm

Movements:– Simple repeated movements

(e.g. twisting or tilting body or head, raising or twisting arms etc.) – 20s

– Random movements – 180s

Motion Capture Setup

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GO Predictions vs Measurements

0 2 4 6 8 10 12 14 16 18 20

-80

-60

-40

Time (s)

Path

Gai

n (d

B)

Chest - Wrist: Arms Sideways-Up

PredictionMeasurement

12 12.5 13 13.5 14 14.5 15-90

-80

-70

-60

Time (s)

Path

Gai

n (d

B)

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Time-varying on-body link geometry

Tx qT

(deg)fT

(deg)DT

(dBi) Ant Rx qR

(deg)fR

(deg)DR

(dBi) Ant

Head 64 74 8.7 Low gain

Upper Arm 36 49 23.4 High

gain

Head 72 360 1.6 Omni Wrist 51 103 7.8 Low gain

Upper Arm 48 59 14.4 High

gain Wrist 27 40 38.0 High gain

The elevation and azimuth direction variability of the markers translates to antenna beamwidth requirements and thus

directivity

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BAN antennas for 60 GHz on body paths Channel features

– Path loss high so only short link viable

– Need high gain antennas so fading due to beam misalignment

Printed Yagi-Udaarray gain ~20 dBi

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Novel SIW Yagi-Uda Array

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Linearly Polarised SIW Frequency Scanning Antenna: Fabrication and Measurement

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State4 State3 State2 State1 State0 State-1 State-2 State-3 State-4

SIW antenna -43.1 -43.4 -41.3 -32.9 -50.9 -45.8 -51.8 -53.2 -52.1

Horn × × -59.7 -45.2 -50.8 -50.1 -57.9 -58.3 ×

Mono × -60.8 -51.4 -43.8 -56.9 -51.3 -54.2 -63.9 ×

SIW Antenna vs. Horn & Monopole

State 4 State 1 State -4Max. Path Gain (dB)

Offsets body movement for highly mobile antenna locations (e.g. on wrist)

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Conclusions

60 GHz/mm wave technologies– Advantages

Good BAN-BAN isolationGreatly reduced EM emissions signature

– DisadvantagesQuasi-optical links necessitate multi-hop BANsGood radiation control requires careful antenna

design

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Future challenges

Electromagnetic modelling is a challenge & lags behind empirical work– Time-varying boundary conditions– Electrically large problems– Unexpected polarisation independence of attenuation

for near LOS paths Variability of body geometries and of electrical

properties of skin and clothing layers is largely unexplored

More realistic (small, conformal) adaptive antennas for better radiation control?