Meaning
Mathematical abstraction provides a framework for predicting the electrical consumption of a wireless communication device across various operating modes. Firmware developers use the modem energy model to estimate battery life during the design phase of a project. Calculations integrate current values for idle or active states to create a profile of energy usage.
Energy consumption depends on the duration of each state and the transitions between them.
Operational State
Energy levels are assigned to each functional block of the transceiver based on the current drawn during specific tasks. When the modem energy model is applied to a real scenario, it accounts for the power spikes during network attachment and the low drain during deep sleep. Calculation of the total charge consumed requires summing the products of current and time for every mode.
State transitions also contribute to the overall power budget.
Characterization Input
Laboratory measurements provide the raw figures needed to populate the variables in the equations. The modem energy model relies on accurate data gathered under controlled temperature and voltage conditions. Reliable inputs ensure that the simulation results match the observed behavior of the hardware in the field.
Estimation Accuracy
Integration of software and hardware factors allows for a precise prediction of field performance. The modem energy model helps in selecting the appropriate battery size for the target application. Predicted values guide the optimization of firmware to extend device longevity.
