Hardware Modeling#

 1# In this example we simulate the effects of a non-ideal
 2# Radio-Frequency chain and analog-to-digital conversion on the bit error rate performance
 3# of a single-carrier communication system.
 4# We consider I/Q imbalance, a power amplifier following Rapp's model and an adc with
 5# mid-riser quantization and automatic gain control.
 6# 
 7# The performance is evaluated for a signal-to-noise ratio between zero and 20 dB.
 8
 9!<Simulation>
10
11# Physical device models within the simulated scenario
12Devices:
13
14  - &device_alpha !<SimulatedDevice>
15
16    # RF-Chain hardware model
17    rf_chain: !<RfChain>           
18
19      amplitude_imbalance: 1e-3             # I/Q amplitude imbalance
20      phase_offset: 1e-2                    # I/Q phase imbalance
21      power_amplifier: !<Rapp>              # Power amplifier model
22      phase_noise: !<OscillatorPhaseNoise>  # Phase noise model
23
24        K0: 1e-11
25        K2: 10
26        K3: 1e4
27
28    # AD-Conversion hardware model
29    adc: !<ADC> 
30
31      quantizer_type: !<QuantizerType> MID_RISER
32      num_quantization_bits: 16
33      gain: !<AutomaticGainControl>
34
35# Operators transmitting or receiving signals over the devices
36Operators:
37
38  # A single modem operating the device #0
39  - &modem_alpha !<Modem>
40
41    device: *device_alpha           # Device the modem is operating on
42
43    # Waveform configuration
44    waveform: !<SC-RootRaisedCosine>
45
46        # Symbol settings
47        symbol_rate: 100e6
48        modulation_order: 16
49        oversampling_factor: 4
50
51        # Frame settings
52        num_preamble_symbols: 10
53        num_data_symbols: 1000
54        pilot_rate: 1e6
55        guard_interval: 1e-6
56
57# Performance indication evaluation configuration
58Evaluators:
59
60  # Evaluate the bit errors of `modem_alpha` communicating over `device_alpha`
61  - !<BitErrorEvaluator>
62
63    transmitting_modem: *modem_alpha
64    receiving_modem: *modem_alpha
65    confidence: .9
66    tolerance: 1e-4
67    plot_scale: log
68
69# Simulation parameters
70num_samples: 10000                 # Number of samples per simulation grid section
71min_num_samples: 50                # Minimum number of samples per simulation grid section before premature stopping
72snr_type: EBN0                     # SNR is defined as the ratio between bit energy and noise power
73plot_results: True                 # Visualize the evaluations after the simulation has finished
74
75# Scenario parameters over which the Monte-Carlo simulation sweeps
76Dimensions:
77
78  snr: [0, 4, ..., 20] dB