2006-01-17

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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: [Multipath Channel Modeling for 60GHz Frequency Band]Date Submitted: [16 January, 2006]Source: [Wooyong Lee, Kyeongpyo Kim, Jinkyeong Kim, and Yongsun Kim] Company [ETRI]Address [161 Gajeong-dong, Yuseong-gu, Daejeon, 305-700, Korea]Voice:[+82 42 860 6105], FAX: [+82 42 869 1712], E-Mail:[ wylee@etri.re.kr] Re: []

Abstract: [Description of 60GHz Frequency Band Multipath Channel Modeling.]Purpose: [Contribution to TG3c at January 2006 Interim meeting.]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.

2006-01-17

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Multipath Channel Modeling for 60GHz Frequency Band

Wooyong Lee, Kyeongpyo Kim, Jinkyeong Kim, and Yongsun Kim

ETRI

January 17, 2006

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Overview• We introduce two analytical multipath channel

models for 60 GHz frequency band

• Static Channel Model– Time-invariant TDL model– Simple model

• Fading Channel Model– Time-variant TDL model– Preferred for baseband simulations– In LOS case, first tap has K=13.07dB Ricean factor

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• Millimeter waves (60GHz) are strongly attenuated and oxygen molecule absorption– 10-meter loss of 60GHz band electromagnetic signal is

equivalent to the 30km loss of 1GHz band – Absorption: order of 10~15dB/km

• The wireless channels are characterized by path loss model and small scale fading model– Path loss model is very useful to predict proper ranges of

SNR over the distances between Tx and Rx– Small scale fading model is usually exploited to stamp

the wideband characteristics

60GHz Channel Characteristics60GHz Channel Characteristics

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• Path loss model (H. Xu, JSAC’02)– Free space loss equation

• Power budget at 60GHz, =5mm, the attenuation due to propagation is – 68dB at 1 meter – 88dB at 10 meter

)60GHzfor(log10log10)log(1068

log10log104

log20)(

4

2

XGGdn

XGGd

dBL

dGG

PPL

RT

RT

RTT

R

Conventional 60GHz Channel ModelConventional 60GHz Channel Model

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• Experimental result on path loss (H. Xu, JSAC’02)

60GHz Channel Path Loss Results60GHz Channel Path Loss Results

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Path Loss and Coverage Analysis (1/3)Path Loss and Coverage Analysis (1/3)• Keenan-Motley model

• Correia model

The radiation pattern of the measurementantennas was narrow (3dB beamwidth 5) in the vertical plane and broad (9) in thehorizontal plane.

h. wavelengt the andreceiver andansmitter between tr distance theis where

][4log20 10

d

dBWddL

][)(log448.68 10 dBdL

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Path Loss and Coverage Analysis (2/3)Path Loss and Coverage Analysis (2/3)• Parameters for coverage analysis

• Maximum acceptable path loss:

– Tx/Rx cable loss and H/W implementation loss are ignored

Parameter Value

Max. EIRP(PEIRP=PTx+ GTx) 20 dBm Transmit Power+Tx Antenna Gain+Tx Cable Loss

Shadowing Fade Margin (M) 0/5/10 dB

Rx. Antenna Gain (GRx) 0 dBiNoise Figure (NF) 9 dB Typical 5-9 dB Noise PSD (N0) -165 dBm/Hz 120MHz BW

ReceiveSensitivity(Pth)

BPSK -77.48 dBmReceive Sensitivity @ Uncoded BER10-3

QPSK -74.46 dBm16QAM -67.76 dBm64QAM -61.70 dBm

][max dBMGPPL RxthEIRP

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Path Loss and Coverage Analysis (3/3)Path Loss and Coverage Analysis (3/3)• Coverage Analysis: Uncoded Case

100 200 300 400 500 600 700 800 900 10000

5

10

15

20

25

30Uncoded Case: Shadow Fading Margin, M=0dB

Data Rate [Mbps]

Dis

tanc

e, d

[m]

Free-space modelCorreia modelMK model:officeMK model:shopping mall

100 200 300 400 500 600 700 800 900 10000

1

2

3

4

5

6

7

8

9

10Uncoded Case: Shadow Fading Margin, M=10dB

Data Rate [Mbps]

Dis

tanc

e, d

[m]

Free-space modelCorreia modelMK model:officeMK model:shopping mall

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• Saleh and Valenzuela model (JSAC’87)– Multipath components arrive in clusters– Cluster arrival times are modeled as a Poisson arrival process with

fixed rate – In each cluster, multipath components arrive according to Poisson

process with another fixed rate – But, complex for baseband simulations

2 ( )t /lTe

/kle

00

10

20

3040

01

1121 31

02

12 2232

Time0 00T 0 10T

0 20T 0 30T

0 40T 1 01T

1 11T 1 21T

1 31T 2 02T

2 12T 2 22T

2 32T

0 0

( ) ( )kljkl l kl

l k

h t e t T

/ /2 2 2( , ) (0,0) l klTkl l klT e e

Impulse Impulse RResponse esponse Channel MChannel Modelodel

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Deterministic frequency selective model (Hübner, VTC’97)• Modeled by a conventional time invariant FIR filter structure• Typical indoor wireless LAN application scenarios with an RF bandwidth of 200

MHz and 62 GHz center frequency• The scenarios represent the line of sight (LOS) and non-line of sight (NLOS) case

where omni-directional antennas are used for both transmit and receive side

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Channel Simulator for 60GHz band (1/2)• Indoor propagation environment

– LOS channel • Peak-to-peak power difference in the frequency domain

– NLOS channel• Peak-to-peak power difference in the frequency domain

dBPP

ch

ch 5min,

max,

dBPP

ch

ch 25min,

max,

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Channel Simulator for 60GHz band (2/2)• Slow Mobility

– Static Channel Simulator for 60GHz• Time-invariant TDL model• When taps have factional delays, then this delay will be

rounded by the nearest multiple of the sampling frequency• Random phase rotation of original CIR in order to generate

independent CIR– Fading Channel Simulator for 60GHz

• Jakes classical Doppler(U-shape) spectrum• When taps have factional delays, then this delay will be

rounded by the nearest multiple of the sampling frequency• In LOS case, first tap has K=13.07dB Ricean factor

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Simulator for Static Channel Model (1/2)• Proposed by Hübner (VTC’97)• Time-invariant TDL structure• Uniform random phase rotation of complex CIR in order to generate

multiple independent channel in [0, 2) range initial seed value

LOS Case NLOS CaseRelative

Delay Time [ns]

Complex Channel Coefficient Note

Relative Delay

Time [ns]Complex Channel

Coefficient Note

0 0.4502302+0.86621991j Random Phase 0 0.194008+0.37325832j Random Phase

15 -0.00118146+0.03175096j Random Phase 15 -

0.00494651+0.13293465j Random Phase

20 -0.11530161-0.13648934j Random Phase 20 -0.48274379-0.57145242j Random Phase35 -0.0297353-0.01119513j Random Phase 35 -0.12449552-0.04687168j Random Phase

40 -0.01073347+0.02990505j Random Phase 40 -

0.04493882+0.12520619j Random Phase

45 0.10021063+0.00728164j Random Phase 45 0.419656101+0.03048672j Random Phase

55 -0.00792121-0.01556035j Random Phase 55 -0.03316445-0.06514792j Random Phase70 0.02800481-0.02856065j Random Phase 70 0.1172503-0.11957749j Random Phase

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Simulator for Static Channel Model (2/2)• Example

(BW:120MHz)• Modified static

channel model is adjusted at 120MHz BW

NLOS channel

-100 -80 -60 -40 -20 0 20 40 60 80 100-25

-20

-15

-10

-5

0

5Frequency response of a typical NLOS channel modified by rounding

Frequency, f [MHz]

|H(f)

|2 , [dB

]

Original model with 200MHz BWModified model with 120MHz BW

0 10 20 30 40 50 60 700

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8Frequency response of a typical NLOS channel modified by rounding

Delay time, [ns]

|h(

)|

Original model with 200MHz BWModified model with 120MHz BW

0 10 20 30 40 50 60 700

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1Frequency response of a typical LOS channel modified by rounding

Delay time, [ns]

|h(

)|

Original model with 200MHz BWModified model with 120MHz BW

-100 -80 -60 -40 -20 0 20 40 60 80 100-4

-3

-2

-1

0

1

2

3Frequency response of a typical LOS channel modified by rounding

Frequency, f [MHz]

|H(f)

|2 , [dB

]

Original model with 200MHz BWModified model with 120MHz BW

LOS channelImpulse Impulse

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Fading Channel Simulator for 60GHz Band

LOS Case NLOS Case

Relative Delay Time [ns]

Average relative Power

[dB]

Ricean factor, K

[dB]Doppler

Spectrum

Relative Delay Time [ns]

Average relative Power

[dB]

Ricean factor, K

[dB]Doppler

Spectrum

0 0 13.07 Class+spike 0 0 - Class

15 -29.75 - Class 15 -10 - Class 20 -14.75 - Class 20 5 - Class 35 -29.75 - Class 35 -10 - Class 40 -29.75 - Class 40 -10 - Class 45 -19.75 - Class 45 0 - Class 55 -34.75 - Class 55 -15.2 - Class 70 -27.75 - Class 70 -8 - Class

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Summery for 60 GHz Multipath Channel Modeling • We propose two multipath channel models for 60

GHz frequency band

• Static channel simulator uses complex coefficients (very simple)

• Fading channel simulator (Ricean model) for time-variant model uses power profiles

• Option: Doppler spectrum of fading channel uses Jakes model

• Above two multipath channel models are sufficient for 60GHz Channel modeling

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References[1] Shahriar Emami, Abbie Mathew and Zhiguo Lai, “60 GHz Channel

Modeling Simulation Work for Indoor Environment,” IEEE802.15-05/0255r0, May 2005.

[2] J. Foester, “Channel Modeling Sub-committee Report (Final),” IEEE 802.15-02/490r1, Feb. 2003.

[3] H. Xu, V. Kukshya, and T. S. Rappaport, “Spatial and temporal characteristics of 60-GHz indoor channels”, IEEE J. Select. Areas Commun., vol. 20, no. 3, pp. 620-630, Apr. 2002.

[4] J. Hubner, S. Zeisberg, K Koora, J. Borowski, A. Finger, “Simple channel model for 60 GHz indoor wireless LAN design based on complex wideband measure-ments”, Proc. VTC, 1997, pp. 1004-1008.

[5] A. A. M. Saleh and R. A. Valenzuela, “A Statistical model for indoor multipath propagation,” IEEE J. Select. Areas Commun., vol. 5, No. 3, pp. 128-137, Feb. 1987.

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Thank you!