Page 432 - Integrated Wireless Propagation Models

410 I n d e x

3D data: Urban areas (Cont.):
2D compared to, 201-203 Bullington monograms and, 56-57, 57f, 5Sf
complications of, 1S7 demand increase and, 179
3D ray tracing. See Ray tracing flat-edge model for, SS-89
Three-sector cell, capacity comparison for, 14S-154 Hata's formulation for, 79, SOt
Time: lbrahim-Parsons model for, 70-73
coherence, 10 Ikegami model for, S3, S4f
Maxwell's equation and, 331-333 Okumura-Hata model for, 75-SO, SOt, 256t
Time-delay spread: rooftops, propagation over, 250-253, 254f
in bullet train communication, 392 settled field concept in, SS
frequency-selective fading from, 12-13, 12f streets:
metrics, 7-S, 7t, S f Lee microcell buildings or, 199-205
TIREM. See Terrain-Integrated Rough-Earth Model Lee microcell simplification of, 19S-199
TLM model, features of, 256t in random waveguide model, 243-246
Trains, bullet, 392, 393f in recursive model, 247
Transmission media: system design and growth of, 179
aeronautical, 3SS-392 terrain influences on:
bullet train, 392, 393f integration, 210, 211f
millimeter wave, 392-393 nonshadow, 207
satellite, 3S3-3S6 shadow, 20S-210
underwater, 3S6-3SS, 3S9f Walfisch-Bertoni model for, S1-83, 1S2t
Transmitter noise, 377 Walfisch-Ikegami model for, S4-S7
Trees. See Terrain Young model for, 53-55
Troposphere. See Atmospheric conditions Urban canyon model. See Street canyon model
Trunking efficiency, 145-147 Urick model, 3S7
Tunnels, Lee macrocell attribute for, 126-127
Turf, 30t - v -
2D data, 3D compared to, 201-203 vatalaro, F. See Corraza-Vatalaro model
Two-ray model: Vector data, for system design, 346, 347f
close-in distance derived from: VHF regions:
building material variations and, 265-267 aeronautical communication and, 3SS, 390
estimate, 265 Blomquist-Laden model for, 6S-70
foundation, 263-264 ITU-R P.1546 model for, 90-92
verification, 267-26S, 269f
expression of, 32-33, 33f - w=::::::�
mediums comparison for, 30t, 264t Walfisch-Bertoni model, S1-S3, 1S2t
reflection coefficient of, 44, 264, 265-267 Walfisch-Ikegami model, S4-S7
Water:
- u ­ ITU-R P.1546 model for, 90
UHF regions: Lee macrocell attribute for, 131-13S, 204
Blomquist-Laden model for, 6S-70 in London, 7lf
ITU-R P.1546 model for, 90-92 permittivity and conductivity of, 30t
Underwater communication signals: in Sacramento, 204
interference in, 3S6-3S7 TIREM of, 61, 61f
propagation models, 3S7-3SS, 3S9f underwater communication signals:
Urban areas. See also In-building prediction; Microcell challenges, 3S6-3S7
prediction models propagation models, 3S7-3SS, 3S9f
buildings: Waveguide model, random, 243-246
block estimation in, 19Sf Weather. See Atmospheric conditions
flat terrain and, 199, 203, 211-212
height attribute in, 220-222, 223f - x ­
influence of, LOS, Lee microcell, 205-206 Xie-Fang model, 3S4
influence of, NLOS, Lee microcell, 207-20S
layout, Kaji-Akeyama, 240f - v ­
new office, 262-263 Yee cell, 332, 333f
streets or, for Lee microcell, 199-205 Young model, 53-55