Power Control for Resilient Communication Systems With a Secret-Key Budget

This repository is accompanying the papers "Power Control for Resilient Communication Systems With a Secret-Key Budget" (Karl-L. Besser, Rafael Schaefer, and Vincent Poor, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sep. 2024) and "Building Resilience in Wireless Communication Systems With a Secret-Key Budget" (Karl-L. Besser, Rafael Schaefer, and Vincent Poor, Jul. 2024. arXiv:2407.11604).

The idea is to give an interactive version of the calculations and presented concepts to the reader. One can also change different parameters and explore different behaviors on their own.

File List

The following files are provided in this repository:

• run.sh: Bash script that reproduces the figures presented in the paper.
• util.py: Python module that contains utility functions, e.g., for saving results.
• constant_power.py: Python script that runs the main simulation with a constant power allocation.
• ide_stopping_time.py: Python module that contains functions to calculate the stopping times numerically via solving an IDE.
• mc_stopping_time.py: Python module that contains functions to determine the stopping times via Monte Carlo simulations.
• ultimate_ruin_prob.py: Python module that contains functions to calculate the probability of ultimate ruin (for the random timing scheme).
• rayleigh.py: Python module that contains functions related to Rayleigh fading (distribution functions, ...).
• combine_results.py: Python script that combines results with different constant power levels at given time slots.
• comparison.py: Python module containing different power allocation algorithms.
• environment.py: Python module that contains the RLlib environment.
• configs.py: Python module that contains the configuration of the environment.
• train.py: Python script that starts the training of the RL agent.
• evaluate_parallel.py: Python script that evaluates all different algorithms (constant, adaptive, RL, ...) in parallel.

Usage

Running it online

You can use services like CodeOcean or Binder to run the scripts online.

Local Installation

If you want to run it locally on your machine, Python3 and Jupyter are needed. The present code was developed and tested with the following versions:

• Python 3.10
• numpy 1.26
• scipy 1.10
• matplotlib 3.9
• pandas 2.2
• ray 2.9
• torch 1.12
• joblib 1.1

Make sure you have Python3 installed on your computer. You can then install the required packages by running

pip3 install -r requirements.txt

This will install all the needed packages which are listed in the requirements file. You can then recreate the figures from the paper by running

bash run.sh

Acknowledgements

This research was supported by the German Research Foundation (DFG) under grants BE 8098/1-1 and SCHA 1944/11-1, by the German Federal Ministry of Education and Research (BMBF) within the national initiative on 6G Communication Systems through the research hub 6G-life under Grant 16KISK001K as well as the 6G-ANNA project under Grant 16KISK103, and by the U.S. National Science Foundation under Grants CNS-2128448 and ECCS-2335876.

License and Referencing

This program is licensed under the MIT license. If you in any way use this code for research that results in publications, please cite our original article listed above.

You can use the following BibTeX entry

@inproceedings{Besser2024pimrc,
  author = {Besser, Karl-Ludwig and Schaefer, Rafael F. and Poor, H. Vincent},
  title = {Power Control for Resilient Communication Systems With a Secret-Key Budget},
  booktitle = {2024 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)},
  year = {2024},
  month = {9},
  publisher = {IEEE},
  venue = {Valencia, Spain},
}