Stochastic Power Consumption Model of Wireless Transceivers

Area of Science:

• Electrical Engineering
• Computer Science
• Wireless Communications

Background:

• Energy efficiency is critical for modern wireless networks and transceivers.
• Existing energy consumption models are either device-specific or oversimplified for broad application.
• Accurate modeling is needed to capture transceiver energy variability.

Purpose of the Study:

• To propose a new stochastic energy consumption model for wireless transceivers.
• To account for the variability in power consumption across different devices and vendors.
• To enable more detailed system-level network design and analysis.

Main Methods:

• Developed a fixed energy consumption model with parameters as random variables.
• Calibrated model parameters for 14 individual WiFi modems.
• Modeled parameter distributions, their characteristics, and correlations based on measured data.

Main Results:

• Successfully modeled the variability of transceiver energy consumption using stochastic parameters.
• Demonstrated the model's applicability in system-level network design.
• Provided a more detailed energy consumption characterization for a multi-hop link simulation.

Conclusions:

• The proposed stochastic model offers a more accurate and flexible approach to energy efficiency assessment in wireless networks.
• This method allows leveraging transceiver variability as a design parameter.
• It facilitates enhanced performance analysis and optimization of wireless systems.