15-06-0191-00-003c-channel-model-based-ibm-measured-data (1).ppt

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 1
Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)
Submission Title: [Channel model based on IBM measured data]
Date Submitted: [March 2006]
Source: [Shahriar Emami, drsemami@yahoo.com ]
[Zhiguo Lai, University of Massachusetts, zhlai@ecs.umass.edu ]
[Brian Gaucher, IBM Research, bgaucher@us.ibm.com]
[Abbie Mathew, NewLANS, amathew@newlans.com]
Abstract: []
Purpose: [To update task group on channel modeling simulation work]
Notice: This document has been prepared to assist the IEEE P802.15. It is offered as a basis for
discussion and is not binding on the contributing individual(s) or organization(s). The material in this
document is subject to change in form and content after further study. The contributor(s) reserve(s) the
right to add, amend or withdraw material contained herein.
Release: The contributor acknowledges and accepts that this contribution becomes the property of
IEEE and may be made publicly available by P802.15.

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 2
Motivation
802.11n and UWB ----------------------> few hundred Mbps
Future applications require Gbps rate
- wireless Ethernet, wireless camcorder downloads and HDMI delivery
Significant amount of bandwidth is available at 60 GHz
- USA (57-64 GHz), Canada (57-64 GHz)
- Japan (59-66 GHz)
- Australia (59.4-62.9 GHz)
- South Korea
- Europe
IEEE 802.15.3c to develop PHY for 60 GHz application

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 3
Goal of developing such a channel model for comparing PHYs
Components of channel mode
- Large scale fading (path loss and shadowing)
- Small scale fading (amplitude statistics, PDP, delay spread)
The channel modeling sub-committee

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 4
The existing 60 GHz channel modeling
- Mostly focused on outdoor environment
- They limit themselves to one indoor environment
A channel model fit for a few indoor environments does not exist

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 5
IBM data base
The data base consists of measurements in three different environments namely
- office
- library/laboratory
- residential
Over 700 PDPs
Limitation: omni directional antennas on both ends

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 6
- path loss
- Shadowing
Average Path Loss
Path Loss
Large scale Fading










0
10
0 log
10
[dB]
)
(
[dB]
)
(
d
d
n
d
L
d
L
[dB]
[dB]
)
(
[dB]
)
( 
X
d
L
d
L 


doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 7
where and are the predicted and the measured path losses at the
k-th location (totally M locations), respectively, and parameters through
are given by
MSE is minimized when
   
F
EL
Dn
CL
BnL
An
M
L
L
M
M
k
k
k







 

0
2
0
0
2
2
1
meas
pred
1
1
MSE
 


























M
k
k
M
k
k
M
k
k
k
M
k
k
M
k
k
L
F
L
E
d
d
L
D
M
C
d
d
B
d
d
A
1
2
meas
1
meas
1 0
10
meas
1 0
10
1
2
0
10
,
2
,
log
20
,
log
20
,
log
100
0
2
)
(
and
0
2
)
(
0
0
0 













E
Bn
CL
L
D
BL
An
n
Parameter Extraction
k
Lpred
k
Lmeas

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 8
n
Parameter Office Lib/lab Private house
L0 (dB) 71.21 71.53 80.00 (80.55)
1.62 1.42 1.30 (0.40)
σ (dB) 5.15 5.78 5.20 (4.66)
Table I: Path loss and large scale model parameters for the three different
environments
n

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 9
Figure 1: Path loss versus Tx-Rx separation
0.5 1 2 3 4 5 6 7 8 9 10
-90
-80
-70
-60
total
path
loss
(dB)
0.5 1 2 3 4 5 6 7 8 9 10
-90
-80
-70
-60
total
path
loss
(dB)
0.5 1 2 3 4 5 6 7 8 9 10
-95
-90
-85
-80
-75
-70
Tx-Rx separation (m)
total
path
loss
(dB)
measurement
MSE fitting
measurement
MSE fitting
measurement
MSE fitting
manual fitting
Office environment
Lib/lab environment
Private house environment

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 10
- Amplitude statistics
- Power delay profile
- Delay spread
PDP
- Single exponential decay
- Constant followed by exponential decay
Selected model
- Single cluster S-V model
- Rayleigh amplitude
- PDP







 
b
ns
/
b
if
0
if
)
(





 
C
e
B
A
Small Scale Fading

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 11
-0.02 -0.01 0 0.01 0.02 0.03
0
10
20
30
40
50
60
70
80
90
real part
-0.02 -0.01 0 0.01 0.02
0
10
20
30
40
50
60
70
imaginary part
0 0.005 0.01 0.015 0.02 0.025
0
10
20
30
40
50
60
70
80
magnitude
-200 -100 0 100 200
0
2
4
6
8
10
12
14
16
18
phase
Office001 CIR distribution
CIR Statistics

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 12
Parameter Optimization
Define two metrics: MSE(PDP) and MSE(RMS-DS)
MSE(PDP) The mean squared error (MSE) between the PDP of the
measurement set and that of the model
Objective:
To determine the parameter set that minimizes the two metrics jointly for a
given environment.

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 13
Figure 2: Metrics versus path density for the lib/lab environment
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
2
4
6
8
10
12
14
x 10
-3
MSE according to PDP
 (/ns)
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
0
0.05
0.1
0.15
MSE according to RDS
 (/ns)
A = 0.1
A = 0.2
A = 0.3
A = 0.4
A = 0.1
A = 0.2
A = 0.3
A = 0.4
Lib/lab environment
maximum delay = 200 ns
PV
() = A when  < 0.5 ns
PV
() = 0.01 e-0.09
when  > 0.5 ns

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 14
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
2
4
6
8
10
12
14
x 10
-3
 (/ns)
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
0
0.05
0.1
0.15
0.2
 (/ns)
B = 0.005
B = 0.010
B = 0.015
B = 0.020
B = 0.005
B = 0.010
B = 0.015
B = 0.020
Lib/lab environment
PV
() = 0.3 when  < 0.5 ns
PV
() = B e-0.09
when  > 0.5 ns

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 15
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
0
0.005
0.01
0.015
 (/ns)
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
0
0.05
0.1
0.15
0.2
0.25
 (/ns)
C = 0.05
C = 0.08
C = 0.09
C = 0.10
C = 0.15
C = 0.20
C = 0.05
C = 0.08
C = 0.09
C = 0.10
C = 0.15
C = 0.20
Lib/lab environment
PV
() = 0.3 when  < 0.5 ns
PV
() = 0.01 e-C
when  > 0.5 ns

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 16
Table II: Multipath model parameters for the three different environments
Parameters Office Lib/lab Private home
path density
 (1/ns) 0.50 0.10 0.30
maximum delay max
 (ns) 100 200 50
break point b
 (ns) 0.4 0.5 0.9
constant
A 0.3 0.3 0.6
multiplier
B 0.01 0.01 0.1
exponent
C 0.12 0.095 0.25

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 17
Figure 5: Average of Normalized PDPs (office environment)

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 18
Figure 6: Cumulative distribution of delay spread (office environment)

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 19
Figure 7: Average of Normalized PDPs (lib/lab environment)
0 5 10 15 20 25 30
-30
-25
-20
-15
-10
-5
delay in ns
mean
path
loss
in
dB
measurement
stochastic model

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 20
Figure 8: Cumulative distribution of delay spread (lib/lab environment)
0 5 10 15 20 25
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
delay in ns
cumulative
probability
measurement
stochastic model

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 21
Figure 9: Average of Normalized PDPs (private house)
0 5 10 15 20 25 30
-40
-35
-30
-25
-20
-15
-10
-5
delay in ns
mean
path
loss
in
dB
measurements
stochastic model

doc.: IEEE 802.15-06-0191-00-003c
Submission
March 2006
S. Emami
Slide 22
Figure 10: Cumulative distribution of delay spread (private house)
0 1 2 3 4 5 6 7 8 9 10
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
delay in ns
cumulative
probability
measurements
stochastic model

15-06-0191-00-003c-channel-model-based-ibm-measured-data (1).ppt

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