1. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 1 Indoor WLAN Channel Models Special Committee - Report Vinko Erceg (verceg@zyraywireless.com) et al.

2. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 2 List of Participants (to be updated with new participants ) Vinko Erceg (Zyray Wireless) Laurent Schumacher (Namur University) Persefoni Kyritsi (Aalborg University) Daniel Baum (ETH University) Andreas Molisch (Mitsubishi Electric) Alexei Gorokhov (Philips Research) Srinath Hosur (Texas Instruments) Srikanth Gummadi (Texas Instruments) Eilts Henry (Texas Instruments) Eric Jacobsen (Intel) Sumeet Sandhu (Intel) David Cheung (Intel) Qinghua Li (Intel) Clifford Prettie (Intel) Heejung Yu (ETRI) Yeong-Chang Maa (InProComm) Richard van Nee (Airgo) Jonas Medbo (Erricsson) Eldad Perahia (Cisco Systems) Helmut Boelcskei (ETH Univ.) Hemanth Sampath (Marvell) H. Lou (Marvell) Pieter van Rooyen (Zyray Wireless) Pieter Roux (Zyray Wireless) Majid Malek (HP) Timothy Wakeley (HP) Dongjun Lee (Samsung) Tomer Bentzion (Metalink) Nir Tal (Metalink) Amir Leshem (Metalink, Bar IIan University) Guy Shochet (Metalink) Patric Kelly (Bandspeed) Vafa Ghazi (Cadence) Mehul Mehta - Mickey (Synad Technologies) Bobby Jose (Mabuhay Networks) Charles Farlow (California Amplifier) Claude Oestges (Louvain University) Robert W. Heath (University of Texas at Austin) Mark Webster (Intersil) John Terry (Nokia)

3. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 3 HTSG WLAN Channel Modeling Goals To develop a set of channel models backwards compatible with existing 802.11 channel models developed by Medbo and Schramm. Channel models can be used to evaluate new WLAN proposals based on multiple antenna technologies. The work has been going on since September 2002, planning for September 2003 completion. Channel model approach was presented during the March 2003 meeting 11-03-161r0(a)

4. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 4 We are going to provide: Multiple antenna models – cluster approach (compatible with single antenna models): –Path loss and shadow fading –Channel time variation (Doppler) –K-factor –Delay spread –Antenna correlation (angle of arrival, cluster definition, etc.) –Different antenna polarization (XPD) –For 2.4 and 5 GHz frequency bands –100 MHz bandwidth (10 ns tap resolution of delay line model) Simulation guidelines (link level and PHY rate vs. range) Matlab code for generation of channel realizations

5. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 5 Maybe provided: Interference model (coordinate with usage models group) –Adjacent-channel interference –Co-channel interference –Microwave, Bluetooth, radar, etc. For bandwidths wider than 100 MHz

6. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 6 Deliverables - Actions Delivery by September 2003 Conference calls every two weeks (or as required) Reports at every session Reflector email may be set up

7. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 7 Brief Channel Models Summary

8. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 8 Channel Model-A Example Three clusters can be clearly identified. Cluster 1 Cluster 2 Cluster 3 dB

9. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 9 Spatial Representation of 3 Clusters LOS Cluster 2 Tx Antennas Rx Antennas R2 Cluster 3 R3 Cluster 1 R1

10. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 10 Modeling Approach Only time domain information from SISO models can be determined (delay of each delay within each cluster and corresponding power using extrapolation methods). In addition, for the multiple antenna clustering approach the following parameters have to be determined: –Power azimuth spectrum (PAS) shape of each cluster and tap –Cluster angle-of-arrival (AoA), mean –Cluster angular spread (AS) at the receiver –Cluster Angle-of-departure (AoD), mean –Cluster AS at the transmitter –Tap AS –Tap AoA –Tap AoD

11. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 11 Cluster and Tap PAS Shape Cluster and tap PAS follow Laplacian distribution. Example of Laplacian AoA (AoD) distribution, cluster, AS = 30 o

12. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 12 Cluster AoA and AoD It was found in [3,4] that the relative cluster mean AoAs have a random uniform distribution over all angles.

13. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 13 Cluster AS We use the following findings to determine cluster AS: In [3] the mean cluster AS values were found to be 21 o and 25 o for two buildings measured. In [4] the mean AS value was found to be 37 o. To be consistent with these findings, we select the mean cluster AS values for models A-E in the 20 o to 40 o range. For outdoor environments, it was found that the cluster rms delay spread (DS) is highly correlated (0.7 correlation coefficient) with the AS [9]. It was also found that the cluster rms delay spread and AS can be modeled as correlated log-normal random variables. We apply this finding to our modeling approach.

14. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 14 Models Summary (current models in bold, old in gray) ModelEnvironmentLOS/NLOSK (dB) RMS Delay Spread (ns) Number of Clusters Path Loss Inflection (m) AOffice Flat fading NLOS ---- 50 0 3131 -5-5 BLarge open & office Office/Residential NLOS LOS -   100 15 4242 -5-5 CLarge open (in/out) Office/Residential NLOS -3-3 150 30 6262 -5-5 DLarge open (in/out) Medium office LOS NLOS 10 -  140 50 6363 - 10 ELarge open (in/out) Large office NLOS ---- 250 100 5454 - 20 F- Industrial - NLOS ---- - 150 -6-6 - 30

15. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 15 Path Loss Two-Slope Model: LOS slope of 2 (free space) up to the inflection point and NLOS slope of 3.5 greater than the inflection point. The inflection point is the average distance from the transmitter to the first obstruction for each of the environments.

16. doc.: IEEE 802.11-03/369r0a Submission May 2002 Vinko Ereg, Zyray Wireless; et al..Slide 16 References [1] J. Medbo and P. Schramm, “Channel models for HIPERLAN/2,” ETSI/BRAN document no. 3ERI085B. [2] A.A.M. Saleh and R.A. Valenzuela, “A statistical model for indoor multipath propagation,” IEEE J. Select. Areas Commun., vol. 5, 1987, pp. 128-137. [3] Q.H. Spencer, et. al., “Modeling the statistical time and angle of arrival characteristics of an indoor environment,” IEEE J. Select. Areas Commun., vol. 18, no. 3, March 2000, pp. 347-360. [4] R.J-M. Cramer, R.A. Scholtz, and M.Z. Win, “Evaluation of an ultra-wide-band propagation channel,” IEEE Trans. Antennas Propagat., vol. 50, no.5, May 2002, pp. 561-570. [5] A.S.Y. Poon and M. Ho, “Indoor multiple-antenna channel characterization from 2 to 8 GHz,” submitted to ICC 2003 Conference. [6] G. German, Q. Spencer, L. Swindlehurst, and R. Valenzuela, “Wireless indoor channel modeling: Statistical agreement of ray tracing simulations and channel sounding measurements,” in proc. IEEE Acoustics, Speech, and Signal Proc. Conf., vol. 4, 2001, pp. 2501-2504. [7] J-G. Wang, A.S. Mohan, and T.A. Aubrey,” Angles-of-arrival of multipath signals in indoor environments,” in proc. IEEE Veh. Technol. Conf., 1996, pp. 155-159. [8] Chia-Chin Chong, David I. Laurenson and Stephen McLaughlin, “Statistical Characterization of the 5.2 GHz Wideband Directional Indoor Propagation Channels with Clustering and Correlation Properties,” in proc. IEEE Veh. Technol. Conf., vol. 1, Sept. 2002, pp. 629-633. [9] K.I. Pedersen, P.E. Mogensen, and B.H. Fleury, “A stochastic model of the temporal and azimuthal dispersion seen at the base station in outdoor propagation environments,” IEEE Trans. Veh. Technol., vol. 49, no. 2, March 2000, pp. 437-447. [10] L. Schumacher, Namur University, Belgium, (laurent.schumacher@ieee.org).