def __init__(self, MimoSchemeClass, config_filename, spec,
read_command_line_args=True):
SimulationRunner.__init__(
self, read_command_line_args=read_command_line_args)
# Read the simulation configuration from the file. What is read and
self.params = SimulationParameters.load_from_config_file(
config_filename,
spec,
save_parsed_file=True)
# Set the max_bit_errors and rep_max attributes
self.max_bit_errors = self.params['max_bit_errors']
self.rep_max = self.params['rep_max']
# Create the modulator object
M = self.params['M']
modulator_options = {'PSK': fundamental.PSK,
'QPSK': fundamental.QPSK,
'QAM': fundamental.QAM,
'BPSK': fundamental.BPSK}
modulator_string = self.params['modulator']
if modulator_string == 'BPSK' or modulator_string == 'QPSK':
self.modulator = modulator_options[modulator_string]()
else:
self.modulator = modulator_options[modulator_string](M)
# Create the MIMO object
self.mimo_object = MimoSchemeClass()
if runner.command_line_args.index is None:
print("Runned iterations: {0}".format(runner.runned_reps))
print("Elapsed Time: {0}".format(runner.elapsed_time))
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
if __name__ == '__main__1':
try:
# noinspection PyUnresolvedReferences
from matplotlib import pyplot as plt
_MATPLOTLIB_AVAILABLE = True
except ImportError:
_MATPLOTLIB_AVAILABLE = False
# xxxxxxxxxx Parameters xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
params = SimulationParameters.load_from_config_file('bd_config_file.txt')
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxx Load the results from the file xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
results_filename = 'bd_results_{Nr}x{Nt}_ext_int_rank_{ext_int_rank}'
results_filename.format(**params.parameters)
results = SimulationResults.load_from_file('{0}{1}'.format(
results_filename, '.pickle'))
SNR = results.params['SNR']
if _MATPLOTLIB_AVAILABLE is True and SNR.size > 1:
Pe_dBm = 10.
# Save the Spectral Efficiency curve for the given Pe_dBm
spec_fig = plot_spectral_efficience_all_metrics(results, Pe_dBm)
# spec_fig.tight_layout()
if runner.command_line_args.index is None:
print ("Runned iterations: {0}".format(runner.runned_reps))
print ("Elapsed Time: {0}".format(runner.elapsed_time))
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
if __name__ == '__main__1':
try:
from matplotlib import pyplot as plt
_MATPLOTLIB_AVAILABLE = True
except ImportError:
_MATPLOTLIB_AVAILABLE = False
# xxxxxxxxxx Parameters xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
params = SimulationParameters.load_from_config_file('bd_config_file.txt')
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxx Load the results from the file xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
results_filename = 'bd_results_{Nr}x{Nt}_ext_int_rank_{ext_int_rank}'
results_filename.format(**params.parameters)
results = SimulationResults.load_from_file(
'{0}{1}'.format(results_filename, '.pickle'))
SNR = results.params['SNR']
if _MATPLOTLIB_AVAILABLE is True and SNR.size > 1:
Pe_dBm = 10
# Save the Spectral Efficiency curve for the given Pe_dBm
spec_fig = plot_spectral_efficience_all_metrics(results, Pe_dBm)
# spec_fig.tight_layout()