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README.md
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plot_hardware_power.py
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README.md

RRC Power

This folder contains the power data for Table 2. For details, we refer readers to sections 4.1 (RRC state inference) and 4.2 in the paper.

Folder Structure

Filename Description
data/PowerMonitor/[Power log name].csv Raw power logs collected using Monsoon Power Monitor
plot_hardware_power.py Python script to plot power values measured by Monsoon power monitor

Dataset Description

The data were collected when repeating RRC state transitions under 4G and 5G (by sending a packet to the UE every 20s).

  • Trace 1-3 were collected when triggering the phone to enter RRC_CONNECTED after 20s inactivity (back to RRC_IDLE).
  • Trace 4-6 were collected when performing the same experiment under 5G.

We only provide sample data in this repo. Please find the complete dataset and the data summary on Google drive.

Requirements

Here are the software/package requirements. The version number in the bracket indicates the minimum version that our script has been tested on.

  • Python 3 (>= 3.7.7)
  • Matplotlib (>= 3.3.1)

Running code

After cloning the repository, navigate to RRC-Power folder and run the following command.

python3 plot_hardware_power.py data/PowerMonitor/screenmax-5g-loop1-rrc-1.csv 10 0 360

The last two parameters indicate the time interval you want to generate the results for. By default the script will process the entire data. You may want to first look at the entire power trace to figure out different RRC states before calculating the power for different states or state transistions. Here is some examples of different intervals in screenmax-5g-loop1-rrc-1.csv (unit: s):

  • last idle end: 25.33; 4g start: 25.69; 5g start: 27.22; tail end: 37.90
  • last idle end: 41.98; 4g start: 42.30; 5g start: 44.14; tail end: 54.68
  • last idle end: 89.36; 4g start: 89.65; 5g start: 91.38; tail end: 102.01

So to calculate the power for different states, run:

python3 plot_hardware_power.py data/PowerMonitor/screenmax-5g-loop1-rrc-1.csv 10 25.69 27.22  # 4g-5g switch power
python3 plot_hardware_power.py data/PowerMonitor/screenmax-5g-loop1-rrc-1.csv 10 27.22 37.90  # tail power
python3 plot_hardware_power.py data/PowerMonitor/screenmax-5g-loop1-rrc-1.csv 10 37.90 41.98  # idle power

Note: subtract the idle power from the total power for each state to get the radio power.