Source code for nepi.resources.ns3.classes.hybrid_buildings_propagation_loss_model
#
# NEPI, a framework to manage network experiments
# Copyright (C) 2014 INRIA
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 as
# published by the Free Software Foundation;
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
from nepi.execution.attribute import Attribute, Flags, Types
from nepi.execution.trace import Trace, TraceAttr
from nepi.execution.resource import ResourceManager, clsinit_copy, \
ResourceState
from nepi.resources.ns3.ns3propagationlossmodel import NS3BasePropagationLossModel
@clsinit_copy
[docs]class NS3HybridBuildingsPropagationLossModel(NS3BasePropagationLossModel):
_rtype = "ns3::HybridBuildingsPropagationLossModel"
@classmethod
def _register_attributes(cls):
attr_los2nlosthr = Attribute("Los2NlosThr",
" Threshold from LoS to NLoS in ITU 1411 [m].",
type = Types.Double,
default = "200",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_los2nlosthr)
attr_shadowsigmaoutdoor = Attribute("ShadowSigmaOutdoor",
"Standard deviation of the normal distribution used for calculate the shadowing for outdoor nodes",
type = Types.Double,
default = "7",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_shadowsigmaoutdoor)
attr_shadowsigmaindoor = Attribute("ShadowSigmaIndoor",
"Standard deviation of the normal distribution used for calculate the shadowing for indoor nodes ",
type = Types.Double,
default = "8",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_shadowsigmaindoor)
attr_shadowsigmaextwalls = Attribute("ShadowSigmaExtWalls",
"Standard deviation of the normal distribution used for calculate the shadowing due to ext walls ",
type = Types.Double,
default = "5",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_shadowsigmaextwalls)
attr_internalwallloss = Attribute("InternalWallLoss",
"Additional loss for each internal wall [dB]",
type = Types.Double,
default = "5",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_internalwallloss)
@classmethod
def _register_traces(cls):
pass
def __init__(self, ec, guid):
super(NS3HybridBuildingsPropagationLossModel, self).__init__(ec, guid)
self._home = "ns3-hybrid-buildings-propagation-loss-model-%s" % self.guid