Channel Models for Broadband Wireless Access



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Channel Models for Broadband Wireless Access Document Number:802.16.3p-00/47 Date Submitted: 2000-11/07 Source: Vinko Erceg Voice: 408-232-7551 Iospan Wireless (formerly Gigabit Wireless Fax: 408-577-0700 3099 N. First Street E-mail: verceg@iospanwireless.com San Jose, CA 19134 Venue: IEEE 802.16.3 Session #10 Nov 6 10 2000, Tampa, FL Base Document: 802.16.3c-00/47 Channel Models for BWA Purpose: For information and discussion Notice: This document has been prepared to assist IEEE 802.16. 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 grants a free, irrevocable license to the IEEE to incorporate text contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards publication; to copyright in the IEEE s name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEE s sole discretion to permit others to reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that this contribution may be made public by IEEE 802.16. IEEE 802.16 Patent Policy: The contributor is familiar with the IEEE 802.16 Patent Policy and Procedures (Version 1.0) <http://ieee802.org/16/ipr/patents/policy.html>, including the statement IEEE standards may include the known use of patent(s), including patent applications, if there is technical justification in the opinion of the standards-developing committee and provided the IEEE receives assurance from the patent holder that it will license applicants under reasonable terms and conditions for the purpose of implementing the standard. Early disclosure to the Working Group of patent information that might be relevant to the standard is essential to reduce the possibility for delays in the development process and increase the likelihood that the draft publication will be approved for publication. Please notify the Chair <mailto:r.b.marks@ieee.org> as early as possible, in written or electronic form, of any patents (granted or under application) that may cover technology that is under consideration by or has been approved by IEEE 802.16. The Chair will disclose this notification via the IEEE 802.16 web site <http://ieee802.org/16/ipr/patents/letters>.

Channel Models for Fixed Wireless Systems Vinko Erceg Iospan Wireless Inc.

Outline Introduction Path Loss Model Antenna Gain Reduction RMS Delay Spread Model K-Factor Model Discussion and Conclusions

Super Cell System Scenario LOS High BTS > 300 m Rooftop CPE Antenna Single Cell / PSA

Multicell System Scenario Low BTS antennas Non-LOS propagation/fading More path loss (less range) Co-channel Interference

Propagation Scenario BTS Sector Antenna Foliage CPE Directional Antenna Ht = 10-30m Ht 2-7m BTS Traffic 0.1-6 km

Suburban Path Loss Model We propose a model presented in [1]. It is based on extensive experimental data collected by AT&T Wireless Services in 95 macrocell across US. It covers the following: - 3 different terrain categories: hilly, moderate and flat terrain - Low and high base station antenna heights : 10-80 meters - Extended to higher frequencies and receiver antenna heights [1] V. Erceg et. al, An empirically based path loss model for wireless channels in suburban environments, IEEE J. Select Areas Commun., vol. 17, no. 7, July 1999, pp. 1205-1211.

Path Loss Model: Con t Slope and Intercept Model: PL = A + 10 γ log10 (d/d o ) + s; Intercept: A = 20 log 10 (4 π d o / λ) Path Loss Exponent: γ = (a b h b + c / h b ) + x σ ; h b :10-80m Shadow Fading Standard Deviation: σ = µ σ + z σ σ

Antenna Gain Reduction Factor (GRF) In local scattering, when compared to an omnidirectional antenna, the nominal gain of a directive antenna can be significantly reduced. Directional antenna Omni antenna Pure LOS: Full Gain, Ga, is Achieved NLOS: Ga - GRF [2] L.J. Greenstein and V. Erceg, Gain reductions due to scatter on wireless paths with directional antennas IEEE Communications Letters

Antenna Gain Reduction Factor: Con t Median Gain Reduction Factor (db) 8 7 6 5 4 3 2 1 Median Antenna Gain Reduction 3m no-leaves 3m leaves 10m no-leaves 10m leaves 0 1.E+01 Antenna Beamwidth (Degrees) 1.E+02

Antenna Gain Reduction: Con t In [3], approximately 10 db gain reduction factor can be observed from figures for a flat suburban environment for a 10 o receive antenna. The base station antenna height was 43 m and the receive antenna heights were 5.2, 10.4, and 16.5 m. This result closely matches results reported in [2]. [3] J.W. Porter and J.A. Thweatt, Microwave propagation characteristics in the MMDS frequency band, ICC 2000 Conference Proceedings, pp. 1578-1582.

RMS Delay Spread Model A delay spread model was proposed in [3] based on a large body of published reports. The model was developed for rural, suburban, urban, and mountainous environments. The model is of the following form: τ rms = T 1 d ε y Where τ rms is the rms delay spread, d is the distance in km, T 1 is the median value of τ rms at d = 1 km, ε is an exponent that lies between 0.5-1.0, and y is a lognormal variate. The model parameters and their values can be found in Table III of [3]

RMS Delay Spread Con t: RMS Delay Spread vs. Distance (Suburban Environments) Simulation 10 5 2 µs 0-5 Omni Receive Antenna -10 0.1 µs -15-20 -25 10-1 10 0 10 1

RMS Delay Spread: Con t Antenna Directivity Effect: - In [3] It was shown that a 10 o directional antenna reduces the RMS delay spread 2.6 times in suburban environments. - In [4], it was shown that a 32 o directional antenna reduces the RMS delay spread 2.3 times. [3] J.W. Porter and J.A. Thweatt, Microwave propagation characteristics in the MMDS frequency band, ICC 2000 Conference Proceedings, pp. 1578-1582. [4] V. Erceg et.al, A model for the multipath delay profile of fixed wireless channels, IEEE J. Select Areas Commun., vol. 17, no.3, March 1999, pp. 399-410.

K-Factor Model In [6,7] the K-factor distribution was found to be lognormal, with the median as a simple function of season, antenna height, antenna beamwidth, and distance. K = F s F h F b K o d γ u [6] L.J. Greenstein, S. Ghassemzadeh, V.Erceg, and D.G. Michelson, Ricean K-factors in narrowband fixed wireless channels: Theory, experiments, and statistical models, WPMC 99 Conference Proceedings, Amsterdam, September 1999. [7] D.S. Baum et.al., Measurements and characterization of broadband MIMO fixed wireless channels at 2 5 GHz to appear in Proceedings of

K-Factor Model: Con t F s is the seasonal factor = 1 in summer and 2.5 in winter F h is the receiving antenna height factor = (h/3) 0.46 ; h in meters F b is the antenna beamwidth factor = (b/17) -0.62 ; b in degrees d is the distance in km γ is the exponent = - 0.5 K isthe1kmintercept = 10 db

K-Factor vs. Distance (Suburban Environments) Simulation 40 30 --- hr = 10m --- hr = 3m 20 hr = 10m 10 0-10 hr = 3m 30-40% prob. that K < 0 db -20 10-1 10 0 10 1 K=0 is necessary assumption for reliable deployments

Discussion and Conclusions For multi-cell BWA deployments: 1) K = 0 (Rayleigh fading) must be assumed for robust system design 2) Delay spread values vary from 0-20 µs (τ rms in the 0-5 µs range) - Single Carrier Systems must be designed for at least 5µs τ rms - OFDM Systems must be robust in flat fading conditions 3) Antenna Gain Reduction Factors (GRF) must be accounted for in link budgets 4) More suitable path loss models need to be used