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Logistic loss

Atis Elsts edited this page Oct 1, 2020 · 1 revision

The Logistic Loss radio signal propagation model uses circle centered at the transmitting mode to simulate radio coverage. The main role of Logistic Loss model is to serve as a more realistic replacement for the Unit Disk Graph model.

The signal strength at the receiving node is determined using exponential free-space loss, on which Additive White Gaussian Noise (AWGN) is overlaid. The packet reception probability is modeled using the logistic function from the signal strength.

Configuration parameters

  • LOGLOSS_TRANSMIT_RANGE_M - The maximum transmission range, in meters. Positive number, default: 200.0.
  • LOGLOSS_RX_SENSITIVITY_DBM - The maximal signal strength in dBm when the PRR is approximately 0%. A number, default: -100.
  • LOGLOSS_RSSI_INFLECTION_POINT_DBM - This is the inflection point of the logistic loss function, i.e. where the second-order derivative becomes negative. It is also the point where 50% of packets with this signal strength are received. A number, default: -96.
  • LOGLOSS_PATH_LOSS_EXPONENT - The value of the path exponent component in the log-distance model. The default value is selected assuming indoors and 2.4 GHz frequency band. A number, default: 3.0.
  • AWGN_GAUSSIAN_STD - The standard deviation of the AWGN distribution, added to the RSSI. Non-negative number, default: 3.0.
  • TX_POWER_DBM - Transmission power in dBm. A number, default: 0.
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