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 version 2 as
7 # published by the Free Software Foundation;
9 # This program is distributed in the hope that it will be useful,
10 # but WITHOUT ANY WARRANTY; without even the implied warranty of
11 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 # GNU General Public License for more details.
14 # You should have received a copy of the GNU General Public License
15 # along with this program. If not, see <http://www.gnu.org/licenses/>.
18 from nepi.execution.attribute import Attribute, Flags, Types
19 from nepi.execution.trace import Trace, TraceAttr
20 from nepi.execution.resource import ResourceManager, clsinit_copy, \
22 from nepi.resources.ns3.ns3propagationlossmodel import NS3BasePropagationLossModel
25 class NS3NakagamiPropagationLossModel(NS3BasePropagationLossModel):
26 _rtype = "ns3::NakagamiPropagationLossModel"
29 def _register_attributes(cls):
31 attr_distance1 = Attribute("Distance1",
32 "Beginning of the second distance field. Default is 80m.",
37 flags = Flags.Reserved | Flags.Construct)
39 cls._register_attribute(attr_distance1)
41 attr_distance2 = Attribute("Distance2",
42 "Beginning of the third distance field. Default is 200m.",
47 flags = Flags.Reserved | Flags.Construct)
49 cls._register_attribute(attr_distance2)
51 attr_m0 = Attribute("m0",
52 "m0 for distances smaller than Distance1. Default is 1.5.",
57 flags = Flags.Reserved | Flags.Construct)
59 cls._register_attribute(attr_m0)
61 attr_m1 = Attribute("m1",
62 "m1 for distances smaller than Distance2. Default is 0.75.",
67 flags = Flags.Reserved | Flags.Construct)
69 cls._register_attribute(attr_m1)
71 attr_m2 = Attribute("m2",
72 "m2 for distances greater than Distance2. Default is 0.75.",
77 flags = Flags.Reserved | Flags.Construct)
79 cls._register_attribute(attr_m2)
81 attr_erlangrv = Attribute("ErlangRv",
82 "Access to the underlying ErlangRandomVariable",
84 default = "ns3::ErlangRandomVariable",
87 flags = Flags.Reserved | Flags.Construct)
89 cls._register_attribute(attr_erlangrv)
91 attr_gammarv = Attribute("GammaRv",
92 "Access to the underlying GammaRandomVariable",
94 default = "ns3::GammaRandomVariable",
97 flags = Flags.Reserved | Flags.Construct)
99 cls._register_attribute(attr_gammarv)
104 def _register_traces(cls):
107 def __init__(self, ec, guid):
108 super(NS3NakagamiPropagationLossModel, self).__init__(ec, guid)
109 self._home = "ns3-nakagami-propagation-loss-model-%s" % self.guid