Final report on link level and system level channel models - Winner

More documents

Recommendations

Info

WINNER D5.4 v. 1.4 The parameters for scenario A1, B3 and D1 have been obtained from the WINNER measurements described in Section 5.2.1, 5.2.3 and 5.2.6. For scenario B1, reference data from TKK outside the WINNER project is used. A combination of the measurements described in Section 5.2.4 and literature, Section 5.5.4, is used for scenario C1. For scenario C2, results from the reference measurement data measured by Nokia outside the WINNER project and literature (see Section 5.5.5) is used. For scenario A1 LOS/NLOS, C1 LOS/NLOS, C2 NLOS, D1 LOS/NLOS and Bridge2Car, all parameters are modelled as log-normal, which means that the transformation is simply “log(x)” and the inverse “10^x”. One exception is the shadow fading, where the transformation is “10log(x)”, so that the transformed variable is in dB. In scenario B1 LOS, the delay-spread is log-Gumbel, while the AoD and AoA spread is log-Logistic. In B1 NLOS, the delay-spread, AoD and AoA spread are all log-Gumbel. The transformations for these cases are described in Section 3.1.1. In scenario B3, the delay-spread, AoD spread, and AoA spread are modelled as normal (thus the transformed and untransformed variables are the same). In all cases, the shadow fading is modelled as log-normal. The mean µ and covariance matrix R ( 0) have been obtained for each scenario and are listed in the tables of Section 3.1.1. Also listed in Section 3.1.1 for each scenario and parameter is a decorrelation distance ∆ . This distance has been obtained by fitting a single exponential exp( − ∆r / ∆) to the auto-correlation functions. The expression (*) however, mixes all of the decorrelation distances λ 1, K,λm so that we need to do a joint fit of all four auto-correlation functions. Below, we have plotted the exponential exp( − ∆r / ∆) together with the auto-correlation obtained from (*). The decorrelation distances λ 1, K,λ m have been manually optimized and their values are listed in Table 3.4. 5.4.13.1 A1 LOS Figure 5.70: The auto correlation functions obtained from (*) using the λ parameters of Table 3.4 and the single exponential functions obtained from measurements in Scenario A1 LOS. 5.4.13.2 A1 NLOS Page 106 (167)
WINNER D5.4 v. 1.4 Figure 5.71: The auto correlation functions obtained from (*) using the λ parameters of Table 3.4 and the single exponential functions obtained from measurements in Scenario A1 NLOS. 5.4.13.3 B1 LOS Figure 5.72: The auto correlation functions obtained from (*) using the λ parameters of Table 3.4 and the single exponential functions obtained from measurements in Scenario B1 LOS. Page 107 (167)
Page 1 and 2:
WINNER D5.4 v. 1.4 IST-2003-507581
Page 3 and 4:
WINNER D5.4 v. 1.4 Authors Partner
Page 5 and 6:
WINNER D5.4 v. 1.4 Partner Name Pho
Page 7 and 8:
WINNER D5.4 v. 1.4 4.3.2 Sum-of-Sin
Page 9 and 10:
WINNER D5.4 v. 1.4 List of Acronyms
Page 11 and 12:
WINNER D5.4 v. 1.4 PART I The deliv
Page 13 and 14:
WINNER D5.4 v. 1.4 the models defin
Page 15 and 16:
WINNER D5.4 v. 1.4 Figure 2.1: Layo
Page 17 and 18:
WINNER D5.4 v. 1.4 2.1.7 Scenario D
Page 19 and 20:
WINNER D5.4 v. 1.4 respectively, wh
Page 21 and 22:
WINNER D5.4 v. 1.4 ∆ τ (m) 6.0 5
Page 23 and 24:
WINNER D5.4 v. 1.4 (dB) XPR H (dB)
Page 25 and 26:
WINNER D5.4 v. 1.4 9,10 ± 1.9718 O
Page 27 and 28:
WINNER D5.4 v. 1.4 3.1.6.1 Scenario
Page 29 and 30:
WINNER D5.4 v. 1.4 G ( ϕ ,m ) is t
Page 31 and 32:
WINNER D5.4 v. 1.4 13 65 -5.4 8.39
Page 33 and 34:
WINNER D5.4 v. 1.4 3.2.3.2 NLOS ZDS
Page 35 and 36:
WINNER D5.4 v. 1.4 Shadow-fading s
Page 37 and 38:
WINNER D5.4 v. 1.4 12 815 -19.2 -17
Page 39 and 40:
WINNER D5.4 v. 1.4 15 800 -5.1 12 8
Page 41 and 42:
WINNER D5.4 v. 1.4 PART II This sec
Page 43 and 44:
h WINNER D5.4 v. 1.4 the properties
Page 45 and 46:
WINNER D5.4 v. 1.4 { } ( τφθϕϑ
Page 47 and 48:
WINNER D5.4 v. 1.4 pdf as the doubl
Page 49 and 50:
WINNER D5.4 v. 1.4 Depending on the
Page 51 and 52:
WINNER D5.4 v. 1.4 A measurement ca
Page 53 and 54:
WINNER D5.4 v. 1.4 Heigh_Gain dB =
Page 55 and 56: WINNER D5.4 v. 1.4 and choosing an
Page 57 and 58: WINNER D5.4 v. 1.4 system used by K
Page 59 and 60: WINNER D5.4 v. 1.4 Sampling frequen
Page 61 and 62: WINNER D5.4 v. 1.4 RX 1 RX module 1
Page 63 and 64: WINNER D5.4 v. 1.4 5.2.4 Scenario C
Page 65 and 66: WINNER D5.4 v. 1.4 GHz were conduct
Page 67 and 68: WINNER D5.4 v. 1.4 5.3 Description
Page 69 and 70: WINNER D5.4 v. 1.4 The equation for
Page 71 and 72: WINNER D5.4 v. 1.4 Figure 5.18: Sha
Page 73 and 74: WINNER D5.4 v. 1.4 Figure 5.21: Pat
Page 75 and 76: WINNER D5.4 v. 1.4 The measured dis
Page 77 and 78: WINNER D5.4 v. 1.4 Cumulative Proba
Page 79 and 80: WINNER D5.4 v. 1.4 the behaviour is
Page 81 and 82: WINNER D5.4 v. 1.4 (a) LOS (b) NLOS
Page 83 and 84: WINNER D5.4 v. 1.4 5.4.5 Distributi
Page 85 and 86: WINNER D5.4 v. 1.4 5.4.6 Angle prop
Page 87 and 88: WINNER D5.4 v. 1.4 1 1 Prob(r-facto
Page 89 and 90: WINNER D5.4 v. 1.4 P [dB] 0 -2 -4 -
Page 91 and 92: WINNER D5.4 v. 1.4 a Figure 5.49: P
Page 93 and 94: WINNER D5.4 v. 1.4 90% 17 27 mean 1
Page 95 and 96: WINNER D5.4 v. 1.4 0.35 PDF 0.3 0.2
Page 97 and 98: WINNER D5.4 v. 1.4 (a) LOS (b) NLOS
Page 99 and 100: WINNER D5.4 v. 1.4 Figure 5.59: K-f
Page 101 and 102: WINNER D5.4 v. 1.4 Table 5.39: The
Page 103 and 104: WINNER D5.4 v. 1.4 Figure 5.64: Dis
Page 105: WINNER D5.4 v. 1.4 5.4.12.5 Scenari
Page 109 and 110: WINNER D5.4 v. 1.4 Figure 5.75: The
Page 111 and 112: WINNER D5.4 v. 1.4 Figure 5.79: The
Page 113 and 114: WINNER D5.4 v. 1.4 Class F [GHz] Di
Page 115 and 116: WINNER D5.4 v. 1.4 5.5.2 Scenario B
Page 117 and 118: WINNER D5.4 v. 1.4 f ( γ ) cos( ϕ
Page 119 and 120: WINNER D5.4 v. 1.4 transmitter loca
Page 121 and 122: WINNER D5.4 v. 1.4 houses surrounde
Page 123 and 124: WINNER D5.4 v. 1.4 It is valid in d
Page 125 and 126: WINNER D5.4 v. 1.4 5.5.6 Scenario D
Page 127 and 128: WINNER D5.4 v. 1.4 5.6 Interpretati
Page 129 and 130: WINNER D5.4 v. 1.4 break-points or
Page 131 and 132: WINNER D5.4 v. 1.4 When adjusting t
Page 133 and 134: WINNER D5.4 v. 1.4 5.6.9 Frequency
Page 135 and 136: WINNER D5.4 v. 1.4 6. Channel Model
Page 137 and 138: WINNER D5.4 v. 1.4 ⎡χ ms1, c1 χ
Page 139 and 140: WINNER D5.4 v. 1.4 PathLossModel An
Page 141 and 142: WINNER D5.4 v. 1.4 MsGainAnglesAz M
Page 143 and 144: WINNER D5.4 v. 1.4 periods. Path-lo
Page 145 and 146: WINNER D5.4 v. 1.4 7. Test and Veri
Page 147 and 148: WINNER D5.4 v. 1.4 3.2.C Ricean wit
Page 149 and 150: WINNER D5.4 v. 1.4 [FBR+94] [FDS+94
Page 151 and 152: WINNER D5.4 v. 1.4 [SCME] [SDD00] [
Page 153 and 154: WINNER D5.4 v. 1.4 9. Appendix 9.1
Page 155 and 156: WINNER D5.4 v. 1.4 results show no
Page 157 and 158:
WINNER D5.4 v. 1.4 Under LOS condit
Page 159 and 160:
WINNER D5.4 v. 1.4 10% 4.4 50% 4.5
Page 161 and 162:
WINNER D5.4 v. 1.4 Link end BS MS P
Page 163 and 164:
WINNER D5.4 v. 1.4 0.05 0.04 0.03 P
Page 165 and 166:
WINNER D5.4 v. 1.4 LNS (m) ζ (dB)
Page 167:
WINNER D5.4 v. 1.4 9.4 Literature r
show all

Final report on link level and system level channel models - Winner

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?