March 2006 S. Emami Slide 1 doc.: IEEE 802.15-06-0191- 00-003c Submiss ion Project: IEEE P802.15 Working Group for Wireless Personal Area Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Networks (WPANs) Submission Title: [Channel model based on IBM measured data] Date Submitted: [March 2006] Source: [Shahriar Emami, [email protected] ] [Zhiguo Lai, University of Massachusetts, [email protected] ] [Brian Gaucher, IBM Research, [email protected]] [Abbie Mathew, NewLANS, [email protected]] 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.
Transcript
March 2006
S. EmamiSlide 1
doc.: IEEE 802.15-06-0191-00-003c
Submission
Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)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, [email protected] ] [Zhiguo Lai, University of Massachusetts, [email protected] ] [Brian Gaucher, IBM Research, [email protected]] [Abbie Mathew, NewLANS, [email protected]]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.
March 2006
S. EmamiSlide 2
doc.: IEEE 802.15-06-0191-00-003c
Submission
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
March 2006
S. EmamiSlide 3
doc.: IEEE 802.15-06-0191-00-003c
Submission
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
March 2006
S. EmamiSlide 4
doc.: IEEE 802.15-06-0191-00-003c
Submission
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
March 2006
S. EmamiSlide 5
doc.: IEEE 802.15-06-0191-00-003c
Submission
IBM data base
The data base consists of measurements in three different environments namely - office - library/laboratory - residential Over 700 PDPsLimitation: omni directional antennas on both ends
March 2006
S. EmamiSlide 6
doc.: IEEE 802.15-06-0191-00-003c
Submission
- path loss- Shadowing Average Path Loss Path Loss
Large scale Fading
0100 log10[dB] )([dB] )(d
dndLdL
[dB] [dB] )([dB] )( XdLdL
March 2006
S. EmamiSlide 7
doc.: IEEE 802.15-06-0191-00-003c
Submission
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
FELDnCLBnLAnM
LLM
M
k
kk
0200
22
1measpred
11MSE
M
k
kM
k
kM
k
kk
M
k
kM
k
k
LFLEd
dLD
MCd
dB
d
dA
1
2
meas1
meas1 0
10meas
1 010
1
2
010
,2 ,log20
,log20 ,log100
02)(
and 02)(
00
0
EBnCLL
DBLAnn
Parameter Extraction
kLpredkLmeas
March 2006
S. EmamiSlide 8
doc.: IEEE 802.15-06-0191-00-003c
Submission
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
March 2006
S. EmamiSlide 9
doc.: IEEE 802.15-06-0191-00-003c
Submission
Figure 1: Path loss versus Tx-Rx separation
0.5 1 2 3 4 5 6 7 8 9 10
-90
-80
-70
-60to
tal p
ath
loss
(dB
)
0.5 1 2 3 4 5 6 7 8 9 10
-90
-80
-70
-60
tota
l pat
h lo
ss (
dB)
0.5 1 2 3 4 5 6 7 8 9 10-95
-90
-85
-80
-75
-70
Tx-Rx separation (m)
tota
l pat
h lo
ss (
dB)
measurementMSE fitting
measurementMSE fitting
measurementMSE fittingmanual fitting
Office environment
Lib/lab environment
Private house environment
March 2006
S. EmamiSlide 10
doc.: IEEE 802.15-06-0191-00-003c
Submission
- 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
0if)(
CeB
A
Small Scale Fading
March 2006
S. EmamiSlide 11
doc.: IEEE 802.15-06-0191-00-003c
Submission
-0.02 -0.01 0 0.01 0.02 0.030
10
20
30
40
50
60
70
80
90real part
-0.02 -0.01 0 0.01 0.020
10
20
30
40
50
60
70imaginary part
0 0.005 0.01 0.015 0.02 0.0250
10
20
30
40
50
60
70
80magnitude
-200 -100 0 100 2000
2
4
6
8
10
12
14
16
18phase
Office001 CIR distributionCIR Statistics
March 2006
S. EmamiSlide 12
doc.: IEEE 802.15-06-0191-00-003c
Submission
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.
March 2006
S. EmamiSlide 13
doc.: IEEE 802.15-06-0191-00-003c
Submission
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 0.52
4
6
8
10
12
14x 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 0.50
0.05
0.1
0.15
MSE according to RDS
(/ns)
A = 0.1A = 0.2A = 0.3A = 0.4
A = 0.1A = 0.2A = 0.3A = 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
March 2006
S. EmamiSlide 14
doc.: IEEE 802.15-06-0191-00-003c
Submission
Figure 3: 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 0.52
4
6
8
10
12
14x 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 0.50
0.05
0.1
0.15
0.2MSE according to RDS
(/ns)
B = 0.005B = 0.010B = 0.015B = 0.020
B = 0.005B = 0.010B = 0.015B = 0.020
Lib/lab environment maximum delay = 200 ns
PV() = 0.3 when < 0.5 ns
PV
() = B e-0.09 when > 0.5 ns
March 2006
S. EmamiSlide 15
doc.: IEEE 802.15-06-0191-00-003c
Submission
Figure 4: 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 0.50
0.005
0.01
0.015MSE according to PDP
(/ns)
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.50
0.05
0.1
0.15
0.2
0.25MSE according to RDS
(/ns)
C = 0.05C = 0.08C = 0.09C = 0.10C = 0.15C = 0.20
C = 0.05C = 0.08C = 0.09C = 0.10C = 0.15C = 0.20
Lib/lab environment maximum delay = 200 ns
PV() = 0.3 when < 0.5 ns
PV
() = 0.01 e-C when > 0.5 ns
March 2006
S. EmamiSlide 16
doc.: IEEE 802.15-06-0191-00-003c
Submission
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
March 2006
S. EmamiSlide 17
doc.: IEEE 802.15-06-0191-00-003c
Submission
Figure 5: Average of Normalized PDPs (office environment)
March 2006
S. EmamiSlide 18
doc.: IEEE 802.15-06-0191-00-003c
Submission
Figure 6: Cumulative distribution of delay spread (office environment)
March 2006
S. EmamiSlide 19
doc.: IEEE 802.15-06-0191-00-003c
Submission
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
mea
n pa
th lo
ss in
dB
measurementstochastic model
March 2006
S. EmamiSlide 20
doc.: IEEE 802.15-06-0191-00-003c
Submission
Figure 8: Cumulative distribution of delay spread (lib/lab environment)
0 5 10 15 20 250
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
delay in ns
cum
ulat
ive
prob
abili
ty
measurementstochastic model
March 2006
S. EmamiSlide 21
doc.: IEEE 802.15-06-0191-00-003c
Submission
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
mea
n pa
th lo
ss in
dB
measurementsstochastic model
March 2006
S. EmamiSlide 22
doc.: IEEE 802.15-06-0191-00-003c
Submission
Figure 10: Cumulative distribution of delay spread (private house)
