From 0624e98e99a1ecd36696eb95647e40c4533274ff Mon Sep 17 00:00:00 2001 From: Jan Adler Date: Fri, 5 Apr 2024 16:33:55 +0000 Subject: [PATCH] Object-Oriented Noise Configuration --- .../library/getting_started_simulation.py | 8 +- .../getting_started_simulation_multidim.py | 9 +- _examples/matlab/getting_started_example2.m | 2 +- _examples/paper/fec.py | 2 +- _examples/paper/hardware_effects.py | 2 +- _examples/paper/interference_alamouti.py | 2 +- _examples/paper/interference_no.py | 2 +- _examples/paper/interference_zf.py | 2 +- _examples/paper/radar_sensing.py | 2 +- _examples/paper/stopping.py | 2 +- _examples/paper/theory.py | 2 +- _examples/paper/theory_awgn.py | 2 +- _examples/paper/theory_rayleigh.py | 2 +- _examples/settings/chirp_fsk_lora.yml | 6 +- _examples/settings/chirp_qam.yml | 5 +- _examples/settings/hardware_model.yml | 5 +- .../interference_ofdm_single_carrier.yml | 3 +- _examples/settings/jcas.yml | 11 +- _examples/settings/ofdm_5g.yml | 5 +- _examples/settings/ofdm_single_carrier.yml | 7 +- _examples/settings/operator_separation.yml | 5 +- .../api/simulation.modem.noise.EBN0.rst | 11 + .../api/simulation.modem.noise.ESN0.rst | 10 + docssource/api/simulation.noise.level.N0.rst | 10 + docssource/api/simulation.noise.level.SNR.rst | 11 + ...GN.rst => simulation.noise.model.AWGN.rst} | 4 +- ...imulation.noise.model.AWGNRealization.rst} | 4 +- docssource/api/simulation.noise.rst | 79 +++++-- docssource/getting_started.rst | 14 +- .../beamforming_implementation.ipynb | 4 +- docssource/notebooks/beamforming_usage.ipynb | 18 +- docssource/notebooks/channel.ipynb | 4 +- docssource/notebooks/dataset.h5 | Bin 18044328 -> 17006320 bytes docssource/notebooks/datasets.ipynb | 57 ++--- docssource/notebooks/evaluator.ipynb | 2 +- docssource/notebooks/fec_coding.ipynb | 4 +- docssource/notebooks/precoding.ipynb | 4 +- docssource/notebooks/roc.ipynb | 23 +- docssource/notebooks/waveform.ipynb | 4 +- docssource/scripts/examples/channel.py | 2 +- .../channel_MultiTargetRadarChannel.py | 2 +- .../examples/channel_MultipathFading5GTDL.py | 2 +- .../channel_MultipathFadingChannel.py | 2 +- .../channel_MultipathFadingCost259.py | 2 +- .../channel_MultipathFadingExponential.py | 2 +- .../examples/channel_RandomDelayChannel.py | 2 +- .../channel_SingleTargetRadarChannel.py | 2 +- .../examples/channel_SpatialDelayChannel.py | 2 +- .../channel_cdl_indoor_factory_los.py | 2 +- .../channel_cdl_indoor_factory_nlos.py | 2 +- .../examples/channel_cdl_indoor_office_los.py | 2 +- .../channel_cdl_indoor_office_nlos.py | 2 +- .../channel_cdl_rural_macrocells_los.py | 2 +- .../channel_cdl_rural_macrocells_nlos.py | 2 +- .../channel_cdl_rural_macrocells_o2i.py | 2 +- .../examples/channel_cdl_street_canyon_los.py | 2 +- .../channel_cdl_street_canyon_nlos.py | 2 +- .../examples/channel_cdl_street_canyon_o2i.py | 2 +- .../channel_cdl_urban_macrocells_los.py | 2 +- .../channel_cdl_urban_macrocells_nlos.py | 2 +- .../channel_cdl_urban_macrocells_o2i.py | 2 +- .../scripts/examples/modem_evaluators_ber.py | 2 +- .../scripts/examples/modem_evaluators_bler.py | 2 +- .../scripts/examples/modem_evaluators_evm.py | 2 +- .../scripts/examples/modem_evaluators_fer.py | 2 +- .../examples/modem_evaluators_throughput.py | 2 +- .../radar_evaluators_RootMeanSquareError.py | 2 +- .../scripts/examples/radar_fmcw_FMCW.py | 4 +- docssource/scripts/examples/simulation.py | 2 +- .../examples/simulation_SimulatedDevice.py | 8 +- .../scripts/examples/simulation_noise.py | 14 +- hermespy/core/__init__.py | 4 +- hermespy/core/definitions.py | 22 -- hermespy/core/device.py | 58 ++--- hermespy/core/duplex.py | 13 +- hermespy/core/monte_carlo.py | 64 +++++- hermespy/core/operators.py | 22 +- .../hardware_loop/physical_device_dummy.py | 16 +- hermespy/jcas/jcas.py | 7 +- hermespy/jcas/matched_filtering.py | 4 + hermespy/jcas/ofdm_radar.py | 4 + hermespy/modem/modem.py | 25 +-- hermespy/radar/radar.py | 13 +- hermespy/simulation/__init__.py | 13 +- hermespy/simulation/modem/__init__.py | 3 + hermespy/simulation/modem/noise.py | 106 ++++++++++ hermespy/simulation/noise/__init__.py | 7 +- hermespy/simulation/noise/level.py | 200 ++++++++++++++++++ .../simulation/noise/{noise.py => model.py} | 81 +++---- hermespy/simulation/simulated_device.py | 176 ++++++++------- hermespy/simulation/simulation.py | 108 ++++------ tests/integration_tests/test_roc.py | 6 +- tests/integration_tests/test_scenario.py | 42 +++- .../documentation/test_notebooks.py | 15 +- tests/unit_tests/core/test_device.py | 15 +- tests/unit_tests/core/test_duplex.py | 10 +- tests/unit_tests/core/test_monte_carlo.py | 26 ++- tests/unit_tests/core/test_operators.py | 32 +-- .../hardware_loop/audio/test_audio_device.py | 4 + tests/unit_tests/jcas/test_matched_filter.py | 8 +- tests/unit_tests/jcas/test_ofdm_radar.py | 2 +- tests/unit_tests/modem/test_modem.py | 19 +- tests/unit_tests/radar/test_evaluators.py | 4 +- tests/unit_tests/radar/test_radar.py | 14 +- .../unit_tests/simulation/modem/test_noise.py | 133 ++++++++++++ .../unit_tests/simulation/noise/test_level.py | 128 +++++++++++ .../unit_tests/simulation/noise/test_model.py | 120 +++++++++++ .../unit_tests/simulation/noise/test_noise.py | 80 ------- .../simulation/test_simulated_device.py | 53 ++--- .../unit_tests/simulation/test_simulation.py | 96 ++++----- 110 files changed, 1413 insertions(+), 773 deletions(-) create mode 100644 docssource/api/simulation.modem.noise.EBN0.rst create mode 100644 docssource/api/simulation.modem.noise.ESN0.rst create mode 100644 docssource/api/simulation.noise.level.N0.rst create mode 100644 docssource/api/simulation.noise.level.SNR.rst rename docssource/api/{simulation.noise.AWGN.rst => simulation.noise.model.AWGN.rst} (76%) rename docssource/api/{simulation.noise.AWGNRealization.rst => simulation.noise.model.AWGNRealization.rst} (64%) create mode 100644 hermespy/simulation/modem/noise.py create mode 100644 hermespy/simulation/noise/level.py rename hermespy/simulation/noise/{noise.py => model.py} (56%) create mode 100644 tests/unit_tests/simulation/modem/test_noise.py create mode 100644 tests/unit_tests/simulation/noise/test_level.py create mode 100644 tests/unit_tests/simulation/noise/test_model.py delete mode 100644 tests/unit_tests/simulation/noise/test_noise.py diff --git a/_examples/library/getting_started_simulation.py b/_examples/library/getting_started_simulation.py index f9684b94..772fdbab 100644 --- a/_examples/library/getting_started_simulation.py +++ b/_examples/library/getting_started_simulation.py @@ -2,7 +2,7 @@ from hermespy.core import dB from hermespy.channel import MultipathFading5GTDL -from hermespy.simulation import Simulation +from hermespy.simulation import Simulation, SNR from hermespy.modem import BitErrorEvaluator, SimplexLink, RootRaisedCosineWaveform, SingleCarrierLeastSquaresChannelEstimation, SingleCarrierZeroForcingChannelEqualization # Create a new simulation @@ -12,6 +12,10 @@ tx_device = simulation.new_device() rx_device = simulation.new_device() +# Specify the hardware noise model +tx_device.noise_level = SNR(dB(20), tx_device) +rx_device.noise_level = SNR(dB(20), tx_device) + # Specifiy the channel instance linking the two devices simulation.set_channel(tx_device, rx_device, MultipathFading5GTDL()) @@ -43,7 +47,7 @@ ber.evaluate().visualize() # Iterate over the receiving device's SNR and estimate the respective bit error rates -simulation.new_dimension('snr', dB(20, 16, 12, 8, 4, 0), rx_device) +simulation.new_dimension('noise_level', dB(20, 16, 12, 8, 4, 0), rx_device) simulation.add_evaluator(ber) result = simulation.run() diff --git a/_examples/library/getting_started_simulation_multidim.py b/_examples/library/getting_started_simulation_multidim.py index 300d4e4b..4b87cef9 100644 --- a/_examples/library/getting_started_simulation_multidim.py +++ b/_examples/library/getting_started_simulation_multidim.py @@ -1,7 +1,7 @@ import matplotlib.pyplot as plt from hermespy.core import dB -from hermespy.simulation.simulation import Simulation +from hermespy.simulation import Simulation, SNR from hermespy.modem import TransmittingModem, ReceivingModem, BitErrorEvaluator, ThroughputEvaluator, RootRaisedCosineWaveform from hermespy.fec import RepetitionEncoder @@ -13,6 +13,11 @@ base_station = simulation.scenario.new_device() terminal = simulation.scenario.new_device() + +# Specify the hardware noise model +base_station.noise_level = SNR(dB(20), base_station) +terminal.noise_level = SNR(dB(20), base_station) + # Disable device self-interference by setting the gain # of the respective self-inteference channels to zero simulation.scenario.channel(base_station, base_station).gain = 0. @@ -35,7 +40,7 @@ simulation.add_evaluator(ThroughputEvaluator(transmitter, receiver, plot_surface=True)) # Configure simulation sweep dimensions -snr_dimension = simulation.new_dimension('snr', dB(12, 10, 8, 6, 5, 4, 3, 2, 1, 0)) +snr_dimension = simulation.new_dimension('noise_level', dB(12, 10, 8, 6, 5, 4, 3, 2, 1, 0), terminal) rep_dimension = simulation.new_dimension('repetitions', [1, 3, 5, 7, 9], transmitter.encoder_manager[0], receiver.encoder_manager[0]) snr_dimension.title = 'SNR' rep_dimension.title = 'Code Repetitions' diff --git a/_examples/matlab/getting_started_example2.m b/_examples/matlab/getting_started_example2.m index 8807e399..8bc66bd4 100644 --- a/_examples/matlab/getting_started_example2.m +++ b/_examples/matlab/getting_started_example2.m @@ -67,7 +67,7 @@ channel_state = propagate{3}; % define SNR -snr = pyargs('snr',py.float(5)); +snr = pyargs('noise_level',py.float(5)); rx_device.receive(rx_signal,snr); % function "receive()" returns a "tuple" type variable, where diff --git a/_examples/paper/fec.py b/_examples/paper/fec.py index fd76f18a..bcd36e13 100644 --- a/_examples/paper/fec.py +++ b/_examples/paper/fec.py @@ -39,7 +39,7 @@ tx_device.transmitters.add(tx_modem) rx_device.receivers.add(rx_modem) -simulation.new_dimension('snr', [db2lin(x) for x in np.arange(-10, 20, .5)]) +simulation.new_dimension('noise_level', [db2lin(x) for x in np.arange(-10, 20, .5)]) simulation.add_evaluator(BitErrorEvaluator(tx_modem, rx_modem)) simulation.add_evaluator(BlockErrorEvaluator(tx_modem, rx_modem)) simulation.add_evaluator(FrameErrorEvaluator(tx_modem, rx_modem)) diff --git a/_examples/paper/hardware_effects.py b/_examples/paper/hardware_effects.py index ac61f281..4ad2438a 100644 --- a/_examples/paper/hardware_effects.py +++ b/_examples/paper/hardware_effects.py @@ -31,7 +31,7 @@ modem.waveform.channel_estimation = SingleCarrierLeastSquaresChannelEstimation() modem.waveform.channel_equalization = SingleCarrierZeroForcingChannelEqualization() -simulation.new_dimension('snr', [db2lin(x) for x in np.arange(-10, 20, .5)]) +simulation.new_dimension('noise_level', [db2lin(x) for x in np.arange(-10, 20, .5)]) simulation.add_evaluator(BitErrorEvaluator(modem, modem)) simulation.num_samples, simulation.min_num_samples = 100000, 100000 simulation.plot_results = True diff --git a/_examples/paper/interference_alamouti.py b/_examples/paper/interference_alamouti.py index efc9e7dd..64d6d046 100644 --- a/_examples/paper/interference_alamouti.py +++ b/_examples/paper/interference_alamouti.py @@ -76,7 +76,7 @@ evaluator.tolerance = .0 evaluator.confidence = 1 simulation.add_evaluator(evaluator) -simulation.new_dimension('snr', [db2lin(x) for x in np.arange(-10, 20, .5)]) +simulation.new_dimension('noise_level', [db2lin(x) for x in np.arange(-10, 20, .5)]) simulation.num_samples, simulation.min_num_samples = 10000, 10000 simulation.plot_results = True simulation.scenario.set_seed(42) diff --git a/_examples/paper/interference_no.py b/_examples/paper/interference_no.py index ffd9707e..ddb52cfb 100644 --- a/_examples/paper/interference_no.py +++ b/_examples/paper/interference_no.py @@ -64,7 +64,7 @@ evaluator.tolerance = .0 evaluator.confidence = 1 simulation.add_evaluator(evaluator) -simulation.new_dimension('snr', [db2lin(x) for x in np.arange(-10, 20, .5)]) +simulation.new_dimension('noise_level', [db2lin(x) for x in np.arange(-10, 20, .5)]) simulation.num_samples, simulation.min_num_samples = 100000, 100000 simulation.plot_results = True simulation.scenario.set_seed(42) diff --git a/_examples/paper/interference_zf.py b/_examples/paper/interference_zf.py index 58289531..3bad55ee 100644 --- a/_examples/paper/interference_zf.py +++ b/_examples/paper/interference_zf.py @@ -74,7 +74,7 @@ evaluator.tolerance = .0 evaluator.confidence = 1 simulation.add_evaluator(evaluator) -simulation.new_dimension('snr', [db2lin(x) for x in np.arange(-10, 20, .5)]) +simulation.new_dimension('noise_level', [db2lin(x) for x in np.arange(-10, 20, .5)]) simulation.num_samples, simulation.min_num_samples = 100000, 100000 simulation.plot_results = True simulation.scenario.set_seed(42) diff --git a/_examples/paper/radar_sensing.py b/_examples/paper/radar_sensing.py index 86374e8a..4b181bc8 100644 --- a/_examples/paper/radar_sensing.py +++ b/_examples/paper/radar_sensing.py @@ -32,7 +32,7 @@ simulation.results_dir = simulation.default_results_dir() simulation.plot_results = True simulation.scenario.snr_type = SNRType.PN0 -simulation.new_dimension('snr', [db2lin(snr) for snr in [-20, -10, 0]]) +simulation.new_dimension('noise_level', [db2lin(snr) for snr in [-20, -10, 0]]) # Consider a device without interference in between operators device_h1 = simulation.new_device(carrier_frequency=70e9) diff --git a/_examples/paper/stopping.py b/_examples/paper/stopping.py index d707f1dd..978618ed 100644 --- a/_examples/paper/stopping.py +++ b/_examples/paper/stopping.py @@ -50,7 +50,7 @@ evaluator.confidence = confidence evaluator.tolerance = tolerance - simulation.new_dimension('snr', [db2lin(x) for x in np.arange(-10, 20, .5)]) + simulation.new_dimension('noise_level', [db2lin(x) for x in np.arange(-10, 20, .5)]) simulation.add_evaluator(evaluator) simulation.num_samples = 100000 simulation.min_num_samples = 100 diff --git a/_examples/paper/theory.py b/_examples/paper/theory.py index faf93259..20eb94ff 100644 --- a/_examples/paper/theory.py +++ b/_examples/paper/theory.py @@ -48,7 +48,7 @@ modem.waveform.modulation_order = modulation_order simulation.scenario.set_channel(device, device, channel) - simulation.new_dimension('snr', [db2lin(x) for x in np.arange(-10, 20, .5)]) + simulation.new_dimension('noise_level', [db2lin(x) for x in np.arange(-10, 20, .5)]) simulation.add_evaluator(BitErrorEvaluator(modem, modem)) simulation.num_samples, simulation.min_num_samples = 100000, 100000 simulation.plot_results = True diff --git a/_examples/paper/theory_awgn.py b/_examples/paper/theory_awgn.py index b536888e..d08bef6f 100644 --- a/_examples/paper/theory_awgn.py +++ b/_examples/paper/theory_awgn.py @@ -42,7 +42,7 @@ modem.waveform.modulation_order = modulation_order simulation.scenario.set_channel(device, device, channel) - simulation.new_dimension('snr', [db2lin(x) for x in np.arange(-10, 20, .5)]) + simulation.new_dimension('noise_level', [db2lin(x) for x in np.arange(-10, 20, .5)]) simulation.add_evaluator(BitErrorEvaluator(modem, modem)) simulation.num_samples, simulation.min_num_samples = 100000, 100000 simulation.plot_results = True diff --git a/_examples/paper/theory_rayleigh.py b/_examples/paper/theory_rayleigh.py index 5a65fd0f..66f06ef4 100644 --- a/_examples/paper/theory_rayleigh.py +++ b/_examples/paper/theory_rayleigh.py @@ -57,7 +57,7 @@ modem.waveform.modulation_order = modulation_order simulation.scenario.set_channel(device, device, channel) - simulation.new_dimension('snr', [db2lin(x) for x in np.arange(-10, 20, .5)]) + simulation.new_dimension('noise_level', [db2lin(x) for x in np.arange(-10, 20, .5)]) simulation.add_evaluator(BitErrorEvaluator(modem, modem)) simulation.num_samples, simulation.min_num_samples = 100000, 100000 simulation.plot_results = True diff --git a/_examples/settings/chirp_fsk_lora.yml b/_examples/settings/chirp_fsk_lora.yml index d3b02850..b98a717a 100644 --- a/_examples/settings/chirp_fsk_lora.yml +++ b/_examples/settings/chirp_fsk_lora.yml @@ -101,11 +101,13 @@ Evaluators: # Simulation parameters num_samples: 1000 # Number of samples per simulation grid section min_num_samples: 50 # Minimum number of samples per simulation grid section before premature stopping -snr_type: EBN0 # SNR is defined as the ratio between bit energy and noise power +noise_level: ! # Noise is defined as the ratio between bit energy and noise power + reference: *link # The SNR is calculated with respect to the link waveform + plot_results: True # Visualize the evaluations after the simulation has finished # Scenario parameters over which the Monte-Carlo simulation sweeps Dimensions: - snr: [10, 9, ..., -2] dB \ No newline at end of file + noise_level: [10, 9, ..., -2] dB \ No newline at end of file diff --git a/_examples/settings/chirp_qam.yml b/_examples/settings/chirp_qam.yml index 68342561..6357e45a 100644 --- a/_examples/settings/chirp_qam.yml +++ b/_examples/settings/chirp_qam.yml @@ -82,14 +82,15 @@ Evaluators: # Simulation parameters num_samples: 10000 # Maximum number of samples per simulation grid section min_num_samples: 1000 # Minimum number of samples per simulation grid section before premature stopping -snr_type: EBN0 # SNR is defined as the ratio between bit energy and noise power +noise_level: ! # SNR is defined as the ratio between bit energy and noise power + reference: *waveform # The SNR is calculated with respect to the processed waveform plot_results: True # Visualize the evaluations after the simulation has finished # Scenario parameters over which the Monte-Carlo simulation sweeps Dimensions: # Sweep over the global receiver signal-to-noise ratio - - property: 'snr' + - property: 'noise_level' points: [0, 1, ..., 20] dB # Sweep over the wavform's modulation order to check QPSK, 16-QAM and 64-QAM diff --git a/_examples/settings/hardware_model.yml b/_examples/settings/hardware_model.yml index 6058ebb3..448ec056 100644 --- a/_examples/settings/hardware_model.yml +++ b/_examples/settings/hardware_model.yml @@ -69,10 +69,11 @@ Evaluators: # Simulation parameters num_samples: 10000 # Number of samples per simulation grid section min_num_samples: 50 # Minimum number of samples per simulation grid section before premature stopping -snr_type: EBN0 # SNR is defined as the ratio between bit energy and noise power +noise_level: ! # SNR is defined as the ratio between bit energy and noise power + reference: *modem_alpha # The SNR is calculated with respect to the referenced modem's waveform power plot_results: True # Visualize the evaluations after the simulation has finished # Scenario parameters over which the Monte-Carlo simulation sweeps Dimensions: - snr: [0, 4, ..., 20] dB \ No newline at end of file + noise_level: [0, 4, ..., 20] dB \ No newline at end of file diff --git a/_examples/settings/interference_ofdm_single_carrier.yml b/_examples/settings/interference_ofdm_single_carrier.yml index a04306e5..35efa7c6 100644 --- a/_examples/settings/interference_ofdm_single_carrier.yml +++ b/_examples/settings/interference_ofdm_single_carrier.yml @@ -145,7 +145,8 @@ Evaluators: # Simulation parameters num_samples: 10 # Number of samples per simulation grid section min_num_samples: 5 # Minimum number of samples per simulation grid section before premature stopping -snr_type: EBN0 # SNR is defined as the ratio between bit energy and noise power +noise_level: ! # SNR is defined as the ratio between bit energy and noise power + reference: *modem_beta # The SNR is calculated with respect to the referenced modem's waveform power plot_results: True # Visualize the evaluations after the simulation has finished diff --git a/_examples/settings/jcas.yml b/_examples/settings/jcas.yml index f6a6bb82..d8e4de08 100644 --- a/_examples/settings/jcas.yml +++ b/_examples/settings/jcas.yml @@ -115,13 +115,14 @@ Evaluators: # Simulation parameters -num_samples: 1000 # Number of samples per simulation grid section -min_num_samples: 10 # Minimum number of samples per simulation grid section before premature stopping -snr_type: EBN0 # SNR is defined as the ratio between bit energy and noise power -plot_results: True # Visualize the evaluations after the simulation has finished +num_samples: 1000 # Number of samples per simulation grid section +min_num_samples: 10 # Minimum number of samples per simulation grid section before premature stopping +noise_level: ! # SNR is defined as the ratio between bit energy and noise power + reference: *base_station_operator # The SNR is calculated with respect to the referenced oeprators's waveform power +plot_results: True # Visualize the evaluations after the simulation has finished # Scenario parameters over which the Monte-Carlo simulation sweeps Dimensions: - snr: [10, 8, ..., -10] dB \ No newline at end of file + noise_level: [10, 8, ..., -10] dB \ No newline at end of file diff --git a/_examples/settings/ofdm_5g.yml b/_examples/settings/ofdm_5g.yml index d8603446..488bf4f5 100644 --- a/_examples/settings/ofdm_5g.yml +++ b/_examples/settings/ofdm_5g.yml @@ -146,7 +146,8 @@ Evaluators: # Simulation parameters num_samples: 1000 # Number of samples per simulation grid section min_num_samples: 100 # Minimum number of samples per simulation grid section before premature stopping -snr_type: EBN0 # SNR is defined as the ratio between bit energy and noise power +noise_level: ! # SNR is defined as the ratio between bit energy and noise power + reference: *ofdm # The SNR is calculated with respect to the referenced waveform's power plot_results: True # Visualize the evaluations after the simulation has finished num_actors: 1 # This simulation is quite memory demanding. It might be necessary to limit the number of actors. @@ -154,5 +155,5 @@ num_actors: 1 # This simulation is quite memory demanding. Dimensions: # Sweep over the global receiver signal-to-noise ratio - - property: 'snr' + - property: 'noise_level' points: [0, 1, ..., 20] dB diff --git a/_examples/settings/ofdm_single_carrier.yml b/_examples/settings/ofdm_single_carrier.yml index 9dcfbf01..71da5179 100644 --- a/_examples/settings/ofdm_single_carrier.yml +++ b/_examples/settings/ofdm_single_carrier.yml @@ -47,7 +47,7 @@ Operators: - ! # Spatial Multiplexing # Configuration of the waveform emitted by this transmitter - waveform: ! + waveform: &ofdm ! # Modulation settings modulation_order: 16 # Modulation order, in other words 4 bit per data resource element @@ -108,11 +108,12 @@ Evaluators: # Simulation parameters num_samples: 1000 # Number of samples per simulation grid section min_num_samples: 100 # Minimum number of samples per simulation grid section before premature stopping -snr_type: EBN0 # SNR is defined as the ratio between bit energy and noise power +noise_level: ! # SNR is defined as the ratio between bit energy and noise power + reference: *ofdm # The SNR is calculated with respect to the processed waveform plot_results: True # Visualize the evaluations after the simulation has finished # Scenario parameters over which the Monte-Carlo simulation sweeps Dimensions: - snr: [20, 10, 2, 0] dB \ No newline at end of file + noise_level: [20, 10, 2, 0] dB \ No newline at end of file diff --git a/_examples/settings/operator_separation.yml b/_examples/settings/operator_separation.yml index e7e46585..d8c77cd4 100644 --- a/_examples/settings/operator_separation.yml +++ b/_examples/settings/operator_separation.yml @@ -94,11 +94,12 @@ Evaluators: # Simulation parameters num_samples: 1000 # Number of samples per simulation grid section min_num_samples: 50 # Minimum number of samples per simulation grid section before premature stopping -snr_type: EBN0 # SNR is defined as the ratio between bit energy and noise power +noise_level: ! # SNR is defined as the ratio between bit energy and noise power + reference: *device_alpha # The SNR is calculated with respect to the device's output power plot_results: True # Visualize the evaluations after the simulation has finished # Scenario parameters over which the Monte-Carlo simulation sweeps Dimensions: - snr: [10, 9, ..., -2] dB \ No newline at end of file + noise_level: [10, 9, ..., -2] dB \ No newline at end of file diff --git a/docssource/api/simulation.modem.noise.EBN0.rst b/docssource/api/simulation.modem.noise.EBN0.rst new file mode 100644 index 00000000..b136d301 --- /dev/null +++ b/docssource/api/simulation.modem.noise.EBN0.rst @@ -0,0 +1,11 @@ +==== +EBN0 +==== + +.. inheritance-diagram:: hermespy.simulation.modem.noise.EBN0 + +The bit energy to noise power spectral density ratio (Eb/N0) is a fundamental parameter in digital communication systems. +It is defined as the ratio of the energy per bit to the noise power spectral density. +The Eb/N0 is a key parameter in the design of digital communication systems, and is used to determine the minimum signal-to-noise ratio required to achieve a certain bit error rate. + +.. autoclass:: hermespy.simulation.modem.noise.EBN0 diff --git a/docssource/api/simulation.modem.noise.ESN0.rst b/docssource/api/simulation.modem.noise.ESN0.rst new file mode 100644 index 00000000..fdb5f85f --- /dev/null +++ b/docssource/api/simulation.modem.noise.ESN0.rst @@ -0,0 +1,10 @@ +==== +ESN0 +==== + +.. inheritance-diagram:: hermespy.simulation.modem.noise.ESN0 + +The symbol energy to noise power spectral density ratio (ES/N0) is a measure of the signal-to-noise ratio (SNR) in a communication system. +It is defined as the ratio of the energy per symbol to the noise power spectral density. The ES/N0 is a key parameter in the design of digital communication systems, and is used to determine the required signal-to-noise ratio for a given bit error rate. + +.. autoclass:: hermespy.simulation.modem.noise.ESN0 diff --git a/docssource/api/simulation.noise.level.N0.rst b/docssource/api/simulation.noise.level.N0.rst new file mode 100644 index 00000000..b51d4882 --- /dev/null +++ b/docssource/api/simulation.noise.level.N0.rst @@ -0,0 +1,10 @@ +==== +N0 +==== + +.. inheritance-diagram:: hermespy.simulation.noise.level.N0 + +The noise level :math:`N_0` representes the expected power of the noise +in Watts. + +.. autoclass:: hermespy.simulation.noise.level.N0 diff --git a/docssource/api/simulation.noise.level.SNR.rst b/docssource/api/simulation.noise.level.SNR.rst new file mode 100644 index 00000000..a415480f --- /dev/null +++ b/docssource/api/simulation.noise.level.SNR.rst @@ -0,0 +1,11 @@ +==== +SNR +==== + +.. inheritance-diagram:: hermespy.simulation.noise.level.SNR + :parts: 1 + +The signal to noise ratio (SNR) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise. +It is defined as the ratio of signal power to the noise power. + +.. autoclass:: hermespy.simulation.noise.level.SNR \ No newline at end of file diff --git a/docssource/api/simulation.noise.AWGN.rst b/docssource/api/simulation.noise.model.AWGN.rst similarity index 76% rename from docssource/api/simulation.noise.AWGN.rst rename to docssource/api/simulation.noise.model.AWGN.rst index 0e687235..a3001e43 100644 --- a/docssource/api/simulation.noise.AWGN.rst +++ b/docssource/api/simulation.noise.model.AWGN.rst @@ -2,13 +2,13 @@ AWGN Model ========== -.. inheritance-diagram:: hermespy.simulation.noise.noise.AWGN +.. inheritance-diagram:: hermespy.simulation.noise.model.AWGN :parts: 1 Complex additive white Gaussian noise (AWGN) in its circular invariant form is the most common noise model used in communication systems. It is a zero mean, white noise process with an independent Gaussian distribution for both real and imaginary part. The noise is uncorrelated in time and frequency. -.. autoclass:: hermespy.simulation.noise.noise.AWGN +.. autoclass:: hermespy.simulation.noise.model.AWGN .. footbibliography:: diff --git a/docssource/api/simulation.noise.AWGNRealization.rst b/docssource/api/simulation.noise.model.AWGNRealization.rst similarity index 64% rename from docssource/api/simulation.noise.AWGNRealization.rst rename to docssource/api/simulation.noise.model.AWGNRealization.rst index 03df3343..db992d1b 100644 --- a/docssource/api/simulation.noise.AWGNRealization.rst +++ b/docssource/api/simulation.noise.model.AWGNRealization.rst @@ -2,11 +2,11 @@ AWGN Realization ================= -.. inheritance-diagram:: hermespy.simulation.noise.noise.AWGNRealization +.. inheritance-diagram:: hermespy.simulation.noise.model.AWGNRealization :parts: 1 AWGN realizations represent the sampling of the Gaussian distributions associated with additive white Gaussian noise (AWGN). -.. autoclass:: hermespy.simulation.noise.noise.AWGNRealization +.. autoclass:: hermespy.simulation.noise.model.AWGNRealization .. footbibliography:: diff --git a/docssource/api/simulation.noise.rst b/docssource/api/simulation.noise.rst index 05075342..2bf36d12 100644 --- a/docssource/api/simulation.noise.rst +++ b/docssource/api/simulation.noise.rst @@ -2,21 +2,29 @@ Noise ====== +.. inheritance-diagram:: hermespy.simulation.noise.model.NoiseModel hermespy.simulation.noise.level.NoiseLevel hermespy.simulation.noise.model.NoiseRealization + :parts: 1 + Hardware noise is one of the primary factors limiting the performance of wireless systems in both communication and sensing applications. -While any processing step introduces noise to some extent, Hermes assumes receiving front-ends to be the primary source of noise power added to any incoming signal. +While any processing step introduces noise to some extent, Hermes currently assumes receiving front-ends to be the primary source of noise power added to any incoming signal. + +HermesPy's noise configuration consists of classes, +the :class:`NoiseModel` representing the noise's statistical properties and +the :class:`NoiseLevel` representing the noise's power level. -HermesPy's noise model consists of a tandem of two components, the :class:`Noise` model -and its :class:`NoiseRealization`. +When generating a new realization of the statistical :class:`NoiseModel`, +the expected power returned by the :class:`NoiseLevel's` +:meth:`get_power()` method is passed to the +:meth:`realize` method +to obtain a :class:`NoiseRealization` instance. .. mermaid:: :align: center flowchart LR - model[Noise] -->|realize| realization[NoiseRealization] - - click model "simulation.noise.Noise.html" "Noise" - click realization "simulation.noise.NoiseRealization.html" + model[NoiseModel] -->|realize| realization[NoiseRealization] + level[NoiseLevel] -->|get_power| realization The currently available implementations of noise models are @@ -27,12 +35,31 @@ The currently available implementations of noise models are - Realization - Description - * - :doc:`simulation.noise.AWGN` - - :doc:`simulation.noise.AWGNRealization` + * - :doc:`simulation.noise.model.AWGN` + - :doc:`simulation.noise.model.AWGNRealization` - Complex additive white Gaussian noise. + +The currently available noise levels + +.. list-table:: + :header-rows: 1 + + * - Level + - Description + + * - :doc:`simulation.noise.level.N0` + - Noise floor in terms of watts. + * - :doc:`simulation.noise.level.SNR` + - Signal-to-noise ratio with respect to a reference. + * - :doc:`simulation.modem.noise.EBN0` + - Bit energy to noise power ratio with respect to a waveform. + * - :doc:`simulation.modem.noise.ESN0` + - Symbol energy to noise power ratio with respect to a waveform. + + Configuring a :class:`SimulatedDevice's` thermal -noise model is as simple as setting its :attr:`noise` porperty to an instance of a noise model. +noise model is as simple as setting its :attr:`noise` porperty to an instance of a noise model. .. literalinclude:: ../scripts/examples/simulation_noise.py :language: python @@ -41,20 +68,38 @@ noise model is as simple as setting its :attr:`noise` and :doc:`Channel Models` form the physical layer description of a simulation, the signal processing, i.e. the transmit and receive layer, generates the waveforms that will actually be generated by devices and transmitted @@ -185,7 +185,7 @@ HermesPy offers the :doc:`SimplexLink` class, which .. literalinclude:: ../_examples/library/getting_started_simulation.py :language: python :linenos: - :lines: 18-19 + :lines: 22-23 The :doc:`Modem` package provides a range of communication waveform implementations, for this minimal introduction we will choose a :doc:`Root-Raised-Cosine` single carrier waveform: @@ -193,7 +193,7 @@ for this minimal introduction we will choose a :doc:`Root-Raised-Cosine`'s transmit and receive rountines to directly generate, process and visualize the generated information such as base-band waveforms and symbol constellations: @@ -201,7 +201,7 @@ the generated information such as base-band waveforms and symbol constellations: .. literalinclude:: ../_examples/library/getting_started_simulation.py :language: python :linenos: - :lines: 28-34 + :lines: 32-38 This will bypass physical layer simulations including device and channel models and directly receive the transmitted waveform, resulting in perfect information recovery. Refering back to the intial architecture graph, we patched the transmit layer directly into the receive layer. @@ -215,7 +215,7 @@ The generated information is collected in :doc:`SimulatedDrops`, :doc:`Evaluators` may be used to conveniently extract performance information. @@ -224,7 +224,7 @@ For instance, the bit error rate of the generated drop may be extracted by a :do .. literalinclude:: ../_examples/library/getting_started_simulation.py :language: python :linenos: - :lines: 41-43 + :lines: 45-47 This is the core routine of a typical Monte Carlo simulation, which is usually conducted over a grid of parameter values. For each parameter combination, a new :doc:`SimulatedDrop` is generated and evaluated. @@ -239,7 +239,7 @@ can be launched by executing .. literalinclude:: ../_examples/library/getting_started_simulation.py :language: python :linenos: - :lines: 45-50 + :lines: 49-54 which will result in a rendered plot being generated. The full code snippet implementing the above introduction can be downloaded from `GitHub - Getting Started Simulation `_. diff --git a/docssource/notebooks/beamforming_implementation.ipynb b/docssource/notebooks/beamforming_implementation.ipynb index e127d4d7..8d1ef6a8 100644 --- a/docssource/notebooks/beamforming_implementation.ipynb +++ b/docssource/notebooks/beamforming_implementation.ipynb @@ -250,7 +250,7 @@ "radar.receive_beamformer = CaponBeamformer()\n", "\n", "simulation.add_evaluator(ReceiverOperatingCharacteristic(radar, radar_channel))\n", - "simulation.new_dimension('snr', dB(-18, -21, -25))\n", + "simulation.new_dimension('noise_level', dB(-18, -21, -25), device)\n", "simulation.num_samples = 1000\n", "\n", "radar.receive_beamformer.probe_focus_points = np.array([[0., 0.]])\n", @@ -318,7 +318,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.11.1" }, "vscode": { "interpreter": { diff --git a/docssource/notebooks/beamforming_usage.ipynb b/docssource/notebooks/beamforming_usage.ipynb index a5de3740..8a64700a 100644 --- a/docssource/notebooks/beamforming_usage.ipynb +++ b/docssource/notebooks/beamforming_usage.ipynb @@ -62,19 +62,6 @@ "uniform_array = SimulatedCustomArray(transmit_ports)" ] }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Install HermesPy and its dependencies in the current kernel\n", - "# When running on Colabs, a restart of the runtime is required afterwards\n", - "\n", - "import sys\n", - "!{sys.executable} -m pip install --quiet hermespy" - ] - }, { "attachments": {}, "cell_type": "markdown", @@ -453,8 +440,9 @@ "\n", "# Configure a simulation dimension varying the receive SNR\n", "snr_dimension = simulation.new_dimension(\n", - " 'snr',\n", + " 'noise_level',\n", " dB([0, 2, 4, 8, 16, 32]),\n", + " user_equipment_device,\n", ")\n", "\n", "# Configure a simulation dimension switching the beam focus\n", @@ -624,7 +612,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.11.1" }, "orig_nbformat": 4 }, diff --git a/docssource/notebooks/channel.ipynb b/docssource/notebooks/channel.ipynb index 52f890ef..4fbc377d 100644 --- a/docssource/notebooks/channel.ipynb +++ b/docssource/notebooks/channel.ipynb @@ -168,7 +168,7 @@ "simulation.scenario.set_channel(operator.device, operator.device, PhaseShiftChannel())\n", "\n", "# Configure a parameter sweep over the receiver SNR, effectively simulating an AWGN channel\n", - "simulation.new_dimension('snr', dB(0, 2, 4, 8, 16, 24))\n", + "simulation.new_dimension('noise_level', dB(0, 2, 4, 8, 16, 24), operator.device)\n", "\n", "# Evaluate the BER\n", "simulation.add_evaluator(BitErrorEvaluator(operator, operator))\n", @@ -239,7 +239,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.11.1" }, 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