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, 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. S. Emami

Motivation 802.11n and UWB ----------------------> few hundred Mbps Future applications require Gbps rate - wireless Ethernet, wireless camcorder downloads and HDMI deliverySignificant 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 - EuropeIEEE 802.15.3c to develop PHY for 60 GHz application S. Emami

The channel modeling sub-committee Goal of developing such a channel model for comparing PHYsComponents of channel mode - Large scale fading (path loss and shadowing)- Small scale fading (amplitude statistics, PDP, delay spread) S. Emami

The existing 60 GHz channel modeling - Mostly focused on outdoor environment- They limit themselves to one indoor environmentA channel model fit for a few indoor environments does not exist S. Emami

IBM data base The data base consists of measurements in three different environments namely - office - library/laboratory - residentialOver 700 PDPsLimitation: omni directional antennas on both ends S. Emami

Large scale Fading - path loss- ShadowingAverage Path LossPath Loss S. Emami

Parameter Extraction 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 S. Emami

Table I: Path loss and large scale model parameters for the three different environments. 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 S. Emami

Figure 1: Path loss versus Tx-Rx separation S. Emami

Small Scale Fading -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 S. Emami

CIR Statistics S. Emami

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 modelObjective: To determine the parameter set that minimizes the two metrics jointly for a given environment. S. Emami

Figure 2: Metrics versus path density for the lib/lab environment S. Emami

Table I: Path loss and large scale model parameters for the three different environments. Table II: Multipath model parameters for the three different environments S. Emami

Figure 5: Average of Normalized PDPs (office environment) S. Emami

Figure 6: Cumulative distribution of delay spread (office environment) S. Emami

Figure 7: Average of Normalized PDPs (lib/lab environment) S. Emami

Figure 8: Cumulative distribution of delay spread (lib/lab environment) S. Emami

Figure 9: Average of Normalized PDPs (private house) S. Emami

Figure 10: Cumulative distribution of delay spread (private house) S. Emami

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)