March 2004 Communications Research Laboratory Slide 1 doc.: IEEE a Submission Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title:[ Spatio-Temporal UWB Propagation Channel Characterization ] Date Submitted:[14 March, 2004] Source: [Katsuyuki Haneda (1), Jun-ichi Takada (1) and Takehiko Kobayashi (2)] Company [(1) Communications Research Laboratory UWB Technology Institute / Tokyo Institute of Technology, (2) Communications Research Laboratory UWB Technology Institute / Tokyo Denki University] Address [3-4, Hikarino-oka, Yokosuka city, Kanagawa Japan] Voice [] [(1) {haneda, (2) Re: [Status report of the a channel modeling subgroup] Abstract:[This contribution describes the results of spatio-temporal propagation channel measurements in a typical home environments in Japan. ] Purpose:[Reports on UWB channel measurement for IEEE802.15TG4a] 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

March 2004 Communications Research Laboratory Slide 2 doc.: IEEE a Submission Path-Loss Exponents of Ultra Wideband Signals in Line-of-Sight Environments Katsuyuki Haneda (1), Jun-ichi Takada (1) Takehiko Kobayashi (2) Communications Research Laboratory (1) Tokyo Institute of Technology (2) Tokyo Denki University Presented by Honggang Zhang, Yuko Rikuta Communications Research Laboratory

March 2004 Communications Research Laboratory Slide 3 doc.: IEEE a Submission Table of contents Spatio-temporal channel measurement technique Specifications of experiment Measurement site Path identification results Clusters in spatio-temporal domain and their relation to physical structure of the environment Diffuse scattering

March 2004 Communications Research Laboratory Slide 4 doc.: IEEE a Submission Channel measurement technique (1) Double directional measurement Spatial transfer function distribution measurement by VNA in conjunction with synthetic array antennas in Tx and Rx Ray path identification by deterministic approach based on the SAGE (Ref. [1]) –Successive Interference Cancellation type implementation

March 2004 Communications Research Laboratory Slide 5 doc.: IEEE a Submission Channel measurement technique (2) Spherical wave array mode vector was used (Ref: [2]) Derived ray path parameters –DOD, DOA, TOA, curvature radius of the spherical wave and variation of spectra with respect to amplitude and phase

March 2004 Communications Research Laboratory Slide 6 doc.: IEEE a Submission Specifications of experiment 3.1 to 10.6 GHz Angular resolution: 10 deg in both Tx and Rx sides Antennas: wideband monopole antennas SNR at the receiver: about 30 dB Calibration: use a function of the VNA Measurement site: LOS in a typical home environment in Japan (Ref: [3])

March 2004 Communications Research Laboratory Slide 7 doc.: IEEE a Submission Measurement site

March 2004 Communications Research Laboratory Slide 8 doc.: IEEE a Submission

March 2004 Communications Research Laboratory Slide 9 doc.: IEEE a Submission Identification of the detected paths

March 2004 Communications Research Laboratory Slide 10 doc.: IEEE a Submission

March 2004 Communications Research Laboratory Slide 11 doc.: IEEE a Submission Spatio-temporal characteristics of identified paths (100 waves) and their clusterization

March 2004 Communications Research Laboratory Slide 12 doc.: IEEE a Submission Clusterization procedure The whole paths were clusterized intuitively by human recognition on the delay-angular map. We can observe sub-clusters in clusters A and E (expressed in red lines).

March 2004 Communications Research Laboratory Slide 13 doc.: IEEE a Submission Reflection from the window (including window glass and metal frame) Clusters A

March 2004 Communications Research Laboratory Slide 14 doc.: IEEE a Submission Reflection from the displays Cluster B

March 2004 Communications Research Laboratory Slide 15 doc.: IEEE a Submission Reflection from adjacent room through wooden door Cluster C

March 2004 Communications Research Laboratory Slide 16 doc.: IEEE a Submission Ceiling, floor and door reflection (includes two bounces, ex. ceiling/door) Cluster D

March 2004 Communications Research Laboratory Slide 17 doc.: IEEE a Submission Reflection from the window (including window glass and metal frame) Clusters E

March 2004 Communications Research Laboratory Slide 18 doc.: IEEE a Submission Intra-cluster properties Cluster (containing multipaths) A (18) B (34) C (4) D (22) E (18) Mean AngularDelay Spread AngularDelay Mean power * Units are angle: deg, delay: ns, power: dBm.

March 2004 Communications Research Laboratory Slide 19 doc.: IEEE a Submission Findings on the clusters Spatio-temporal clusters are determined by a physical structure of the environment. –Specular reflections or specular diffractions are the dominant mechanisms. Spatial and temporal characteristics are highly correlated. Delay spread of the reflected waves from one scatterer is related to the –Height of the room, if more than two bounces are considered (scatterer bounce + ceiling or floor reflection) –Size of the scatterer

March 2004 Communications Research Laboratory Slide 20 doc.: IEEE a Submission Extracted power

March 2004 Communications Research Laboratory Slide 21 doc.: IEEE a Submission Spatio-temporal spectrum from measured data and estimated 100 waves Red: Spectrum of measured data Green: Detected paths by the SAGE

March 2004 Communications Research Laboratory Slide 22 doc.: IEEE a Submission Residual spectrum after the extraction of 100 waves Red: Residual spectrum

March 2004 Communications Research Laboratory Slide 23 doc.: IEEE a Submission Spatio-temporal characteristics of identified paths (100 waves) and their clusterization

March 2004 Communications Research Laboratory Slide 24 doc.: IEEE a Submission -115 dBm -110 dBm -120 dBm Residual components after the extraction of 100 waves -125 dBm

March 2004 Communications Research Laboratory Slide 25 doc.: IEEE a Submission Findings on the residual components About 30 % of the measured power still remains unextracted even if 100 waves were extracted by the SAGE. The residual component = diffuse scattering which is hard to characterize by our deterministic approach. Further investigations on the diffuse components should be continued.

March 2004 Communications Research Laboratory Slide 26 doc.: IEEE a Submission Summary Paths and clusters identification based on the physical phenomena. Whole received power was divided into the deterministic components (70%) and the diffuse components (30%). Site-specific models are appropriate if the indoor UWB channels are simulated, i.e. ray tracing + diffuse scattering.

March 2004 Communications Research Laboratory Slide 27 doc.: IEEE a Submission References Channel measurement system: [1] Haneda et. al., UWBST2003, Reston, VA, USA, Nov [2] Haneda et. al., accepted for IWUWBS joint with UWBST 2004, Kyoto, Japan, May Channel measurement result: [3] Haneda et. al., submitted to WPMC04, Padova, Italy, Sept