1. doc.: IEEE 802.15-<doc#>
<month year>
doc.: IEEE <doc#>
March, 2006
Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs)
Submission Title: [Indoor 60 GHz Channel Model with AoA]
Date Submitted: [7 March 2006]
Source: [T. Pollock, E. Skafidas, C. Liu, Z. Krusevac, S. Krusevac, A. Gupta, D. Miniutti ] Company [National ICT Australia Limited]
Address [Level 2, 216 Northbourne Ave, Canberra, ACT 2602, Australia]
Voice:[ ], FAX: [ ],
Re: [Response to the TG3c channel model subgroup call for 60GHz channel models with AoA]
Abstract: [Description of proposed 60 GHz Channel Model]
Purpose: [Contribution to TG3c at March 2006 meeting in Denver, USA]
Notice: This document has been prepared to assist the IEEE P 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 P
Tony Pollock, NICTA
Tony Pollock, NICTA

2. doc.: IEEE 802.15-<doc#>
<month year>
doc.: IEEE <doc#>
March, 2006
Purpose
Channel model sub-committee requires a common channel model for evaluation of PHY layer proposals
Bulk of proposed applications require directional antennas
Committee needs a realizable model with AoA
Require a measurement campaign to:
Determine an appropriate channel model with AoA
Determine the set of parameters that accurately describes the 60 GHz channel for indoor situations
Tony Pollock, NICTA
Tony Pollock, NICTA

3. March, 2006
Observation 1:
Clustering in time
Tony Pollock, NICTA

4. Proposed Channel Model
March, 2006
Proposed Channel Model
Saleh-Valenzuela (S-V) Multipath Propagation Model
L = number of clusters;
Kl = number of multipath components (number of rays) in the l-th cluster;
= multipath gain coefficient of the k-th ray in the l-th cluster;
Tl = arrival time of the first ray of the l-th cluster;
k,l = delay of the k-th ray within the l-th cluster relative to the first path arrival time, Tl;
Tony Pollock, NICTA

5. March, 2006
Observation 2:
Clustering in angle
Tony Pollock, NICTA

6. Proposed Channel Model
March, 2006
Proposed Channel Model
S-V Model with AoA extension
L = number of clusters;
Kl = number of multipath components (number of rays) in the l-th cluster;
= multipath gain coefficient of the k-th ray in the l-th cluster;
Tl = arrival time of the first ray of the l-th cluster;
k,l = delay of the k-th ray within the l-th cluster relative to the first path arrival time, Tl;
= mean angle of arrival of l-th cluster;
= angle of arrival of the k-th ray within the l-th cluster.
Tony Pollock, NICTA

7. March, 2006
Arrival Times
The cluster and rays form a Poisson arrival process with distributions given by
 = cluster arrival rate;
l = ray arrival rate.
Regularly spaced or mixed Poisson ray arrival times may also be observed.
Tony Pollock, NICTA

8. doc.: IEEE 802.15-<doc#>
<month year>
doc.: IEEE <doc#>
March, 2006
Multipath Gains
both the clusters and rays have amplitudes which decay exponentially with time, and are characterized by,
= cluster decay factor;
= ray decay factor (cluster delay dependent)
Tony Pollock, NICTA
Tony Pollock, NICTA

9. Multipath Gain Distribution
March, 2006
Multipath Gain Distribution
Raleigh ?
Nakagami ?
Rice ?
Log-Normal ? ??
Tony Pollock, NICTA

10. March, 2006
AoA Distribution
Gaussian: = standard deviation,
Von-Mises: = degree of non-isotropy,
Laplacian: = standard deviation.
Each of these can be characterized by the standard deviation of the distribution and is related to the non-isotropy parameters , , or .
Tony Pollock, NICTA

11. Model Parameters l cluster arrival rate l ray arrival rate
March, 2006
Model Parameters l
cluster arrival rate l
ray arrival rate
cluster decay factor
ray decay factor
, , …
multipath gain distribution factor(s)
AoA distribution standard deviation
Tony Pollock, NICTA

12. Measured Data Processing Steps
March, 2006
Measured Data Processing Steps
Single-directional propagation channel
antenna deconvolution
Cluster identification
visual vs statistical
Cluster/MPC Parameter extraction
brute force searches and regression analysis curve fitting (very time consuming)
Multipath gains and AoA distributions
Kolmogorov-Smirnov test, Chi-Square test, probability plotting, Akaike’s information criteria, goodness-of-fit tests etc. etc.
Tony Pollock, NICTA

13. March, 2006
Comments/Caveats
Channel model developed to allow fair and timely comparisons between PHY proposals to c
Gives a general understanding of the 60 GHz channel and its potential for WPAN applications
Given time and resource constraints a generalised stochastic channel model was not possible (although desirable)
Further modelling work is required to generate complete understanding of 60 GHz channels
For model parameters extracted from measurements see (NICT) and (NICTA)
Tony Pollock, NICTA