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()
def __init__(self):
# Call the __init__ function of the base classes
SimulationRunner.__init__(self)
HasTraits.__init__(self)
# Set the simulations parameters as attributes here, but what is
# really necessary is to set the self.params object
self.SNR = np.array([5, 10, 15])
self.M = 4
self.NSymbs = 500
self.rep_max = 1000
# We will stop when the number of bit errors is greater than
# max_bit_errors
self.max_bit_errors = 200
# Message Exibited in the progressbar. Set to None to disable the
# progressbar. See the comment on the SimulationRunner class.
self.progressbar_message = "{M}-" + \
self.modulator.__class__.__name__ + " Simulation - SNR: {SNR}"
def __init__(self):
# Call the __init__ function of the base classes
SimulationRunner.__init__(self)
HasTraits.__init__(self)
# Set the simulations parameters as attributes here, but what is
# really necessary is to set the self.params object
self.SNR = np.array([5, 10, 15])
self.M = 4
self.NSymbs = 500
self.rep_max = 1000
# We will stop when the number of bit errors is greater than
# max_bit_errors
self.max_bit_errors = 200
# Message Exibited in the progressbar. Set to None to disable the
# progressbar. See the comment on the SimulationRunner class.
self.progressbar_message = "{M}-" + \
self.modulator.__class__.__name__ + " Simulation - SNR: {SNR}"
def __init__(self, read_command_line_args=True, save_parsed_file=False):
default_config_file = 'bd_config_file.txt'
# xxxxxxxxxx Simulation Parameters Specification xxxxxxxxxxxxxxxxxx
spec = """[Grid]
cell_radius=float(min=0.01, default=1.0)
num_cells=integer(min=3,default=3)
num_clusters=integer(min=1,default=1)
[Scenario]
NSymbs=integer(min=10, max=1000000, default=500)
SNR=real_numpy_array(min=-50, max=100, default=0:3:31)
Pe_dBm=real_numpy_array(min=-50, max=100, default=[-10. 0. 10.])
Nr=integer(default=2)
Nt=integer(default=2)
N0=float(default=-116.4)
ext_int_rank=integer(min=1,default=1)
user_positioning_method=option("Random", 'Symmetric Far Away', default="Symmetric Far Away")
[Modulation]
M=integer(min=4, max=512, default=4)
modulator=option('QPSK', 'PSK', 'QAM', 'BPSK', default="PSK")
packet_length=integer(min=1,default=60)
[General]
rep_max=integer(min=1, default=5000)
unpacked_parameters=string_list(default=list('SNR','Pe_dBm'))
""".split("\n")
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx Initialize parameters configuration xxxxxxxxxxxxxxxxxx
# Among other things, this will create the self.params object with
# the simulation parameters read from the config file.
SimulationRunner.__init__(
self,
default_config_file=default_config_file,
config_spec=spec,
read_command_line_args=read_command_line_args,
save_parsed_file=save_parsed_file)
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx Channel Parameters xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
self.path_loss_obj = pathloss.PathLoss3GPP1()
self.multiuser_channel = multiuser.MultiUserChannelMatrixExtInt()
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx RandomState objects seeds xxxxxxxxxxxxxxxxxxxxxxxxxxxx
# This is only useful to reproduce a simulation for debugging
# purposed
channel_seed = None # 22522
self.noise_seed = None # 4445
self.data_gen_seed = np.random.randint(10000) # 2105
ext_data_gen_seed = None # 6114
#
self.multiuser_channel.set_channel_seed(channel_seed)
self.multiuser_channel.set_noise_seed(self.noise_seed)
self.data_RS = np.random.RandomState(self.data_gen_seed)
self.ext_data_RS = np.random.RandomState(ext_data_gen_seed)
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx Creates the modulator object xxxxxxxxxxxxxxxxxxxxxxxxx
M = self.params['M']
modulator_options = {
'PSK': fundamental.PSK,
'QPSK': fundamental.QPSK,
'QAM': fundamental.QAM,
'BPSK': fundamental.BPSK
}
self.modulator = modulator_options[self.params['modulator']](M)
":type: fundamental.PSK | fundamental.QPSK | fundamental.QAM | fundamental.BPSK"
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx General Parameters xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# Maximum number of repetitions for each unpacked parameters set
# self.params self.results
self.rep_max = self.params['rep_max']
# # max_bit_errors is used in the _keep_going method to stop the
# # simulation earlier if possible. We stop the simulation if the
# # accumulated number of bit errors becomes greater then 5% of the
# # total number of simulated bits
# self.max_bit_errors = self.rep_max * NSymbs * 5. / 100.
self.progressbar_message = "SNR: {SNR}, Pe_dBm: {Pe_dBm}"
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx Dependent parameters (don't change these) xxxxxxxxxxxx
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# These two will be set in the _on_simulate_current_params_start
# method
self.pe = 0
# Path loss (in linear scale) from the cell center to
# self.path_loss_border = self.path_loss_obj.calc_path_loss(
# self.cell_radius)
# Cell Grid
self.cell_grid = cell.Grid()
self.cell_grid.create_clusters(self.params['num_clusters'],
self.params['num_cells'],
self.params['cell_radius'])
self.noise_var = dBm2Linear(self.params['N0'])
self.multiuser_channel.noise_var = self.noise_var
# This can be either 'screen' or 'file'. If it is 'file' then the
# progressbar will write the progress to a file with appropriated
# filename
self.progress_output_type = 'screen'
def __init__(self, read_command_line_args=True, save_parsed_file=False):
default_config_file = 'bd_config_file.txt'
# xxxxxxxxxx Simulation Parameters Specification xxxxxxxxxxxxxxxxxx
spec = """[Grid]
cell_radius=float(min=0.01, default=1.0)
num_cells=integer(min=3,default=3)
num_clusters=integer(min=1,default=1)
[Scenario]
NSymbs=integer(min=10, max=1000000, default=500)
SNR=real_numpy_array(min=-50, max=100, default=0:3:31)
Pe_dBm=real_numpy_array(min=-50, max=100, default=[-10. 0. 10.])
Nr=integer(default=2)
Nt=integer(default=2)
N0=float(default=-116.4)
ext_int_rank=integer(min=1,default=1)
user_positioning_method=option("Random", 'Symmetric Far Away', default="Symmetric Far Away")
[Modulation]
M=integer(min=4, max=512, default=4)
modulator=option('QPSK', 'PSK', 'QAM', 'BPSK', default="PSK")
packet_length=integer(min=1,default=60)
[General]
rep_max=integer(min=1, default=5000)
unpacked_parameters=string_list(default=list('SNR','Pe_dBm'))
""".split("\n")
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx Initialize parameters configuration xxxxxxxxxxxxxxxxxx
# Among other things, this will create the self.params object with
# the simulation parameters read from the config file.
SimulationRunner.__init__(
self,
default_config_file=default_config_file,
config_spec=spec,
read_command_line_args=read_command_line_args,
save_parsed_file=save_parsed_file)
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx Channel Parameters xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
self.path_loss_obj = pathloss.PathLoss3GPP1()
self.multiuser_channel = multiuser.MultiUserChannelMatrixExtInt()
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx RandomState objects seeds xxxxxxxxxxxxxxxxxxxxxxxxxxxx
# This is only useful to reproduce a simulation for debugging
# purposed
channel_seed = None # 22522
self.noise_seed = None # 4445
self.data_gen_seed = np.random.randint(10000) # 2105
ext_data_gen_seed = None # 6114
#
self.multiuser_channel.set_channel_seed(channel_seed)
self.multiuser_channel.set_noise_seed(self.noise_seed)
self.data_RS = np.random.RandomState(self.data_gen_seed)
self.ext_data_RS = np.random.RandomState(ext_data_gen_seed)
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx Creates the modulator object xxxxxxxxxxxxxxxxxxxxxxxxx
M = self.params['M']
modulator_options = {'PSK': fundamental.PSK,
'QPSK': fundamental.QPSK,
'QAM': fundamental.QAM,
'BPSK': fundamental.BPSK}
self.modulator = modulator_options[self.params['modulator']](M)
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx General Parameters xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# Maximum number of repetitions for each unpacked parameters set
# self.params self.results
self.rep_max = self.params['rep_max']
# # max_bit_errors is used in the _keep_going method to stop the
# # simulation earlier if possible. We stop the simulation if the
# # accumulated number of bit errors becomes greater then 5% of the
# # total number of simulated bits
# self.max_bit_errors = self.rep_max * NSymbs * 5. / 100.
self.progressbar_message = "SNR: {SNR}, Pe_dBm: {Pe_dBm}"
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxx Dependent parameters (don't change these) xxxxxxxxxxxx
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# These two will be set in the _on_simulate_current_params_start
# method
self.pe = 0
# Path loss (in linear scale) from the cell center to
# self.path_loss_border = self.path_loss_obj.calc_path_loss(
# self.cell_radius)
# Cell Grid
self.cell_grid = cell.Grid()
self.cell_grid.create_clusters(self.params['num_clusters'],
self.params['num_cells'],
self.params['cell_radius'])
self.noise_var = dBm2Linear(self.params['N0'])
self.multiuser_channel.noise_var = self.noise_var
# This can be either 'screen' or 'file'. If it is 'file' then the
# progressbar will write the progress to a file with appropriated
# filename
self.progress_output_type = 'screen'
