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Power mode implementation

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Signed-off-by: Jean-Luc Auge <jeanluc.auge@orange.com>
This commit is contained in:
Jean-Luc Auge
2018-06-20 14:25:15 +02:00
parent 6ead8e391b
commit b810cf84c2
4 changed files with 105 additions and 35 deletions
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23
examples/transmission_main_example.py
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@@ -17,10 +17,9 @@ from logging import getLogger, basicConfig, INFO, ERROR, DEBUG
from matplotlib.pyplot import show, axis, figure, title
from networkx import (draw_networkx_nodes, draw_networkx_edges,
draw_networkx_labels, dijkstra_path)
from gnpy.core import load_network, build_network
from gnpy.core.network import load_network, build_network, set_roadm_loss, set_edfa_dp
from gnpy.core.elements import Transceiver, Fiber, Edfa, Roadm
from gnpy.core.info import SpectralInformation, Channel, Power
from gnpy.core.info import SpectralInformation, Channel, Power, Pref
logger = getLogger(__name__)
@@ -51,14 +50,26 @@ def plot_results(network, path, source, sink):
def main(network, equipment, source, sink):
build_network(network, equipment=equipment)
path = dijkstra_path(network, source, sink)
gain_mode = False
if gain_mode:
path_amps = [amp for amp in path if isinstance(amp, Edfa)]
set_edfa_dp(network, path_amps)
spans = [s.length for s in path if isinstance(s, Fiber)]
print(f'\nThere are {len(spans)} fiber spans over {sum(spans):.0f}m between {source.uid} and {sink.uid}')
print(f'\nNow propagating between {source.uid} and {sink.uid}:')
for p in range(0, 1): #change range to sweep results across several powers in dBm
p=db2lin(p)*1e-3
pref_span0_db = 2
bounds = range(1, 2) #power sweep
pref_roadm_db = -20
pref_span0 = db2lin(pref_span0_db)*1e-3
pref_roadm = db2lin(pref_roadm_db)*1e-3
for p_db in range(pref_span0_db+bounds.start, pref_span0_db+bounds.stop): #change range to sweep results across several powers in dBm
p = db2lin(p_db)*1e-3
roadm_loss = pref_span0_db - pref_roadm_db
path_roadms = [roadm for roadm in path if isinstance(roadm, Roadm)]
set_roadm_loss(path_roadms, roadm_loss)
spacing = 0.05 # THz
si = SpectralInformation() # SI units: W, Hz
si = SpectralInformation(pref=Pref(pref_span0_db, pref_span0_db))
si = si.update(carriers=[
Channel(f, (191.3 + spacing * f) * 1e12, 32e9, 0.15, Power(p, 0, 0))
for f in range(1,97)