#
# 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 NS3NakagamiPropagationLossModel(NS3BasePropagationLossModel):
_rtype = "ns3::NakagamiPropagationLossModel"
@classmethod
def _register_attributes(cls):
attr_distance1 = Attribute("Distance1",
"Beginning of the second distance field. Default is 80m.",
type = Types.Double,
default = "80",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_distance1)
attr_distance2 = Attribute("Distance2",
"Beginning of the third distance field. Default is 200m.",
type = Types.Double,
default = "200",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_distance2)
attr_m0 = Attribute("m0",
"m0 for distances smaller than Distance1. Default is 1.5.",
type = Types.Double,
default = "1.5",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_m0)
attr_m1 = Attribute("m1",
"m1 for distances smaller than Distance2. Default is 0.75.",
type = Types.Double,
default = "0.75",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_m1)
attr_m2 = Attribute("m2",
"m2 for distances greater than Distance2. Default is 0.75.",
type = Types.Double,
default = "0.75",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_m2)
attr_erlangrv = Attribute("ErlangRv",
"Access to the underlying ErlangRandomVariable",
type = Types.String,
default = "ns3::ErlangRandomVariable",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_erlangrv)
attr_gammarv = Attribute("GammaRv",
"Access to the underlying GammaRandomVariable",
type = Types.String,
default = "ns3::GammaRandomVariable",
allowed = None,
range = None,
flags = Flags.Reserved | Flags.Construct)
cls._register_attribute(attr_gammarv)
@classmethod
def _register_traces(cls):
pass
def __init__(self, ec, guid):
super(NS3NakagamiPropagationLossModel, self).__init__(ec, guid)
self._home = "ns3-nakagami-propagation-loss-model-%s" % self.guid