doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 1 Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [The Ultra-wideband Indoor Path Loss Model] Date Submitted: [ 8 July, 2002] Source:[Dr. Saeed S. Ghassemzadeh]Source[Prof. Vahid Tarokh] Company[AT&T Labs-Research]Company [Harvard University, Division of Engineering and Applied Sciences] Address [Rm. B237, 180 Park Ave., Address [33 Oxford Street Room MD 347 Florham Park, NJ US] Cambridge, MA 02138] Voice:[ ]Voice:[ ] FAX: [ ]FAX: [ ], Re: [IEEE P /208r1-SG3a and IEEE P /277r0-SG3a ] Abstract:[This contribution describes a simple statistical model for evaluating the path loss in indoor environments. It consists of detailed characterization of path loss model parameters of Ultra-Wideband Band (UWB) signals having a nominal center frequency of 5 GHz. The proposed statistical path loss model is for in-home UWB channel and it is based on over 300,000 frequency response measurements.] Purpose:[For IEEE SG3a to adopt the path loss model and use it in link budget calculations for validation of throughput and range requirements of UWB PHY proposals. ] 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

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 2 The Ultra-Wideband Indoor Path Loss Model Saeed S. Ghassemzadeh AT&T Labs-research

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 3 Outline Motivation Background: Measurement Technique and Database Data Reduction: Background and Key Findings The Path Loss Model Model Simulation Conclusion Q/A

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 4 Motivation To create a channel model for UWB channel that: – Represents a realistic UWB propagation channel without doing costly sounding experiments. – Provides a compact and simple way to simulate the channel’s propagation behavior. – Is usable for validation of range and throughput requirements of various proposed UWB PHY for in-home environments. Most wireless channel models available, either: – do not represent UWB channel, – or are not in the environment and frequency spectrum of interest, – or have database that is small for statistical characterization of the channel parameters.

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 5 Center frequency: 5 GHz Frequency bins: 401 Bandwidth: 1.25 GHz   0.8 ns Sweep rate: 400 ms Complex Impulse Response of UWB Channel Complex Frequency Response of UWB Channel IDFT  f  MHz,  max  ns Swept Frequency Measurement Technique

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 6 Vector Network Analyzer PADPAD L = dB 150’ cable RF Out A HP8753-ES LNA BP F PADPAD Rx22 L = dB 150’ cable PA LNA BP F PADPAD Rx21 LNA BP F PADPAD Rx11 LNA BP F PADPAD Rx12 B SOFTWARE Antenna 1 Antenna 2 HP-VEE Programs Data Collection MATLAB Programs Post Processing HP-VEE Programs VNA / PC Controller LABTOP HPI B I/O Tx Antenna Channel Sounder System Block Diagram

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 7 Indoor UWB Channel Sounder

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 8 Data base Includes: – Measurements at 5 GHz and 1.25 GHz ultra-wideband channel – T-R separations ranging from 1m to ~15 m – Simultaneous measurements of 2 antennas separated by 38 inches at each location over 2 minute intervals – From one wall to maximum of 4 walls penetration – 300,000 complex frequency responses at 712 locations in 23 different homes Data Base

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 9 Data Reduction: Background We define Typical Representation of Path Loss (PL) vs. Distance (d): – d o is a reference distance, e.g., d o = 1 m. – Bracketed term is a least-squares fit to pathloss, PL(d). – PL 0 ( intercept) and  (path loss exponent) are chosen to minimize. – S is the random scatter about the regression line, assumed to be a zero-mean Gaussian variate with standard deviation  dB.

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 10 Data Reduction: Key Findings The intercept point depends on the materials blocking the signal within 1m of T-R separation and the home structure. The measured values of PL o for NLS were very close to that of LOS path loss plus a few dB more loss due to the obstacle(s) blocking the LOS path. We chose the intercept value to be the mean path loss at 1m measured in 23 homes. Path loss exponent, , changes from one home to another. It is a Normal RV with N LOS [1.7, 0.3] and N NLOS [3.5, 0.97]. Shadow-fading, S, is zero mean Gaussian RV with variance that also changes from one home to another. This variance is also a Normal RV with N LOS [1.6, 0.5] and N NLOS [2.7, 0.98].

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 11 Path Loss vs. Distance Scatter Plot Model the path loss over the population of data. Intercept point, PL o, is 47 dB and 50.5 dB in LOS and NLOS. Path loss exponent, , is 1.7 and 3.1 for LOS and NLOS.

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 12 CDF of Path Loss Exponents

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 13 CDF of Shadow fading Shadow-fading is log-normal as expected with zero mean and variance (over the population of data) of about 2.8 and 4.4 dB, in LOS and NLOS, respectively.

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 14 CDF of Variance of Shadow Fading

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 15 The Path Loss Model n 1, n 2 and n 3 are iid zero-mean, unit-variance Gaussian variates. n 1 varies from one home to another while n 2 and n 3 vary from one location to another within each home. The variable part of above equation is not exactly Gaussian since n 2  n 3 is not Gaussian. However, this product is small w.r.t. the other two Gaussian terms. Therefore, it can be approximated as a zero mean random variate with standard deviation of.

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 16 Model Simulation

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 17 Gaussian AssumtionValidity of  var

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 18 A Final note on Simulation For simulation purposes, it is practical to use truncated Gaussian distributions for n 1, n 2 and n 3 keeping ,  and S from taking on unrealistic values. One possible range for these values are:

doc.: IEEE /278r1-SG3a Submission 7/04/ :52 PM Saeed S. Ghassemzadeh, Vahid Tarokh Slide 19 Conclusion We performed propagation experiments to characterize the UWB path loss in homes. We presented a statistical path loss model for UWB signals at 5 GHz. The model is based on over 300,000 UWB frequency responses at 712 locations in 23 homes. The model accounts for variation of the key path loss parameters from one home to another. The result is a general statistical path loss model which can be upgraded with further measurements.