2 # NEPI, a framework to manage network experiments
3 # Copyright (C) 2014 INRIA
5 # This program is free software: you can redistribute it and/or modify
6 # it under the terms of the GNU General Public License as published by
7 # the Free Software Foundation, either version 3 of the License, or
8 # (at your option) any later version.
10 # This program is distributed in the hope that it will be useful,
11 # but WITHOUT ANY WARRANTY; without even the implied warranty of
12 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
13 # GNU General Public License for more details.
15 # You should have received a copy of the GNU General Public License
16 # along with this program. If not, see <http://www.gnu.org/licenses/>.
19 from nepi.execution.attribute import Attribute, Flags, Types
20 from nepi.execution.trace import Trace, TraceAttr
21 from nepi.execution.resource import ResourceManager, clsinit_copy, \
22 ResourceState, reschedule_delay
23 from nepi.resources.ns3.ns3propagationlossmodel import NS3BasePropagationLossModel
26 class NS3HybridBuildingsPropagationLossModel(NS3BasePropagationLossModel):
27 _rtype = "ns3::HybridBuildingsPropagationLossModel"
30 def _register_attributes(cls):
32 attr_los2nlosthr = Attribute("Los2NlosThr",
33 " Threshold from LoS to NLoS in ITU 1411 [m].",
38 flags = Flags.Reserved | Flags.Construct)
40 cls._register_attribute(attr_los2nlosthr)
42 attr_shadowsigmaoutdoor = Attribute("ShadowSigmaOutdoor",
43 "Standard deviation of the normal distribution used for calculate the shadowing for outdoor nodes",
48 flags = Flags.Reserved | Flags.Construct)
50 cls._register_attribute(attr_shadowsigmaoutdoor)
52 attr_shadowsigmaindoor = Attribute("ShadowSigmaIndoor",
53 "Standard deviation of the normal distribution used for calculate the shadowing for indoor nodes ",
58 flags = Flags.Reserved | Flags.Construct)
60 cls._register_attribute(attr_shadowsigmaindoor)
62 attr_shadowsigmaextwalls = Attribute("ShadowSigmaExtWalls",
63 "Standard deviation of the normal distribution used for calculate the shadowing due to ext walls ",
68 flags = Flags.Reserved | Flags.Construct)
70 cls._register_attribute(attr_shadowsigmaextwalls)
72 attr_internalwallloss = Attribute("InternalWallLoss",
73 "Additional loss for each internal wall [dB]",
78 flags = Flags.Reserved | Flags.Construct)
80 cls._register_attribute(attr_internalwallloss)
85 def _register_traces(cls):
88 def __init__(self, ec, guid):
89 super(NS3HybridBuildingsPropagationLossModel, self).__init__(ec, guid)
90 self._home = "ns3-hybrid-buildings-propagation-loss-model-%s" % self.guid