Project: IEEE P82.15 Working Group for Wireless Personal Area Networks N (WPANs( WPANs) Title: [LOS office channel model based on TSV model] Date Submitted: [September, 26] Source: [Hirokazu Sawada, Yozo Shoji, Chang-Soon Choi, Katsuyoshi Sato, Ryuhei Funada, Hiroshi Harada, Shuzo Kato, Masahiro Umehira, and Hiroyo Ogawa] Company [National Institute of Information and Communications Technology] Address [3-4, Hikarino-Oka, Yokosuka, Kanagawa, 239-847, Japan] Voice:[+81.46.847.596], FAX: [+81.46.847.579], E-Mail:[sawahiro@nict.go.jp] Re: [] Abstract: [This contribution describes LOS office channel model based on TSV model.] Purpose: [Contribution to mmw TG3c meeting.] Notice: This document has been prepared to assist the IEEE P82.15. 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 P82.15. Slide 1
LOS office channel model based on TSV model Hirokazu Sawada, Yozo Shoji, Chang-Soon Choi, Katsuyoshi Sato, Ryuhei Funada, Hiroshi Harada, Shuzo Kato, Masahiro Umerhira, and Hiroyo Ogawa National Institute of Information and Communication Technology (NICT), Japan Slide 2
Agenda Background Measurement procedure and results Extracted TSV model parameters Slide 3
Background & Purpose Not available LOS office channel model in TG3c Measurement and analysis for LOS office channel are performed Slide 4
Measurement conditions Instrument Center frequency Bandwidth Time resolution Distance resolution # of frequency points Frequency step Times of average HP851C VNA 62.5 GHz 3 GHz.333 ns 19.1 cm 81 3.75MHz 128 times Time resolution and distance resolution were determined by bandwidth Slide 5
Measurement conditions (cont ) Antenna: Conical horn antenna Polarization: Vertical Beam-width: Tx:3 and Rx 3, Tx:6 and Rx6 Conical horn antenna Beam-width 3 deg Conical horn antenna Beam-width 6 deg Slide 6
Measurement environment Transmitter Receiver Rotations Office room: 7. m 11.9 m Ceiling height: 2.7 m Surrounding: Metallic wall, glass window Floor: Concrete plates covered with carpet Furniture: Metal desk, chair, computer, LCD TV, books Receiver was rotated from to 36 with 5 degree step Slide 7
Measurement environment(cont ) Antenna Rotations Tx side Rx side Receiver was not put on the desk due to large rotator size Calibration was done at 1 m distance Slide 8
TSV model for LOS office environment For LOS desktop environment (6/297) TSV model = Statistical two-path component + S-V components L 1 M l 1 () t = β δ () t + αl, m δ ( t Tl τ l, m ) δ ( ϕ Ψl ψ l m ) h, l= m= β = μ PL D 2π 2h1h Γ exp j λ f D 2 D 2 Gt1Gr 1 + Gt 2Gr2 For LOS office environment Reflection coefficient: Γ Modified TSV model = Direct-path component + S-V components L 1 M l 1 () t = β δ () t + αl, m δ ( t Tl τ l, m ) δ ( ϕ Ψl ψ l m ) h, l= m= Statistical factors in both two-path and S-V PL: Path loss β μ << D D = PL G G t1 r1 Statistical factors in only S-V Refer to Appendix A for each parameter Slide 9
Impulse response LOS direct path component Relative Amplitude β Ω Rician factor (ΔK) Small Rician factor (Δk) S-V model response Γ,Λ,γ,λ Time of Arrival By setting Γ =, TSV model can generate impulse response for LOS office channel without any modification Slide 1
AoA measurement environment Metal based wall 12 door 11 3 5m 4m 3m 2m 9 Rx TV 6 31 desk 12x8cm desk 16x8cm door Chair 1 display or note PC books 1m Slide 11 table 24x12cm Tx 7 Room height: 27cm 119 23 15 6 cabinet 46 Unit: cm 96 28 269 277 77 Pillar Window Antenna height from floor Tx = 11 cm Rx = 11 cm
TSV model parameters to be extracted σ1 ln(h 2 (t)) AoA Ω σ2 γ Γ Δk Γ : cluster decay factor 1/ Λ : cluster γ : ray decay factor 1/ λ : ray arrival rate arrival rate σ : cluster lognormal standard deviation 1 σ : ray lognormal standard deviation 2 σ φ : Angle spread of ray within cluster σ φ Ω (Laplace distribution) : Average power of of the first cluster the first ray Direct-path Response 1/Λ 1/λ ToA Small Rican factor Δk and Ω are necessary for TSV model Slide 12
Extracted TSV model parameters TSV Small S-V model oriented parameter Number Model Rician of cluster effect Parameter Ω (D) [db] k (Δk) Γ [ns] 1/Λ [ns] γ [ns] 1/λ [ns] σ 1 cluster σ 2 ray σ φ [deg] N Tx:3-3.27 D 5.4 49.8 24.6 45.2 1.3 6.6 11.3 12 6 Rx:3-85.8 (21.9 db) Tx:6 -.33 D 2.63 38.8 37.6 64.9 3.41 8.4 7.95 66.4 5 Rx:6-9.3 (11.4 db) Channel model for LOS office environment is now available Refer to Appendix B and C for each parameter Slide 13
Path loss model for LOS office environment Path loss[db] = PL + 1nlog1( μd / D ) Normalized Path Loss [db] 15 1 5 y = -2.1 x n = 2.1.2.4.6.8 1 log μ D Fig. Path Loss result Path loss at D =1m distance 4πD PL [ db] = 2log1 λ λ 4.8mm ( f = 62.5 GHz) Path loss exponent n = 2.1 68.4 Path loss of LOS component follows free space loss Slide 14
Summary Channel model for LOS office environment is available Path loss model for LOS office environment was confirmed Slide 15
β = α 2 μ PL D Appendix A: Definition of TSV model (modified) CIR: L 1 M l 1 () t = β δ () t + αl, m δ ( t Tl τ l, m ) δ ( ϕ Ψl ψ l m ) h, l= m= (Complex impulse response) τ γ k 2π 2h1h Γ exp j λ f D 2 D 2 Gt1Gr 1 + Gt 2Gr2 [ 1 δ ( m) ] G (, Ψ + ψ ), α Uniform [,2π ) Tl Γ l, m =Ω, e e l m r l l, m l, m Two-path response Path number of G ti and G ri (1: direct, 2 : refrect) Arrival rate: Poisson process p p ( T T ) = Λ exp[ Λ( T T )], l l 1 l 1 [ ( )], m > ( τ l τ l, ( m 1) ) = λ exp λ τ l τ l, ( m 1) l l > PL: Path loss of the first impulse response t: time[ns] δ( ): Delta function l = cluster number, m= ray number in l-th cluster, L = total number of clusters; M l = total number of rays in the l-th cluster; T l = arrival time of the first ray of the l-th cluster; τ l,m = delay of the m-th ray within the l-th cluster relative to the firs path arrival time, T l ; Ω = Average power of the first ray of the first cluster Ψ l Uniform[,2π); arrival angle of the first ray within the l-th cluster ψ l,m = arrival angle of the m-th ray within the l-th cluster relative to the first path arrival angle, Ψ l 1 2 Two-path parameters (4) S-V parameters (7) D h h Uniform : Distance between Tx and Rx Uniform : Height of Uniform : Height of μ Average of distance between Tx and Rx Γ D : Reflection coefficient Γ Γ Tx Rx 1: LOS Desktop environment (incident angle π 2) : Other LOS environment Γ : cluster decay factor 1/ Λ : cluster γ : ray decay factor 1/ λ : ray σ : cluster lognormal standard deviation 1 σ : ray lognormal standard deviation 2 σ φ arrival rate arrival rate : Angle spread of ray within cluster (Laplace distribution) K Antenna parameters (2) Gt Gr = L 1 M 1 ( θ, φ) : Antenna gain of Tx ( θ, ι) : Antenna gain of Rx l l= m= Rician factor (2) k :Small Rician effect in each cluster α 2 l, m δ ( t T τ ) δ ( ϕ Ψ ψ ) G (, Ψ + ψ ) l l, m 2 β l l, m r l l, m Slide 16
ln((α l, /α, ) 2 ) 1 y = -.258 x -.413 Γ = 38.8 ns -1 2 4 6 8 1 T l [ns] Appendix B: Results of data analysis Antenna beamwidth Tx: 6 deg, Rx: 6 deg ln(1-cdf) -1-2 y = -.266 x 1/Λ = 37.6 [ns] -3 2 4 6 8 1 T l [ns] Normalized relative power of ray -2-4 -6-8 y = -.154 x - 2.63 γ = 64.9 [ns] -1 2 4 6 8 1 Relative delay of ray [ns] 1-cdf -1-2 -3-4 y = -.293x 1/λ = 3.41 [ns] -5 1 2 τ l,m [ns] Cluster decay factor (Γ) Cluster arrival rate (1/Λ) Ray decay factor (γ) Ray arrival rate (1/λ) cdf 1.8.6.4.2 pdf.15.1.5 ( -2.94 -.213 x) y = e σ φ = 66.4 [deg] Cumulative probability 1.8.6.4.2 Measurement Lognormal σ1 = 8.4 9 18 27 36 AoA of cluster [deg] -18-9 9 18 AoA [deg] -3-2 -1 1 2 3 Relative path gain of cluster [db] Angle of arrival in cluster ( Uniform) Angle spread of ray (σ φ ) Standard deviation of cluster (σ 1 ) Standard deviation of ray (σ 2 ) Slide 17
Appendix C: Averaged power of the first ray of S-V response Relative amp. [db] -5-1 y = -.33 x -9.3 Antenna beamwidth Tx: 6 deg, Rx: 6 deg 1 2 3 4 5 Distance [m] Ω[dB] =.33 D 9.3 Ω slightly decreases according to distance Slide 18