This release presents the source code and materials used for the experiments in our IEEE JSAC'21 paper: "Wanna Make Your TCP Scheme Great for Cellular Networks? Let Machines Do It for You!" https://ieeexplore.ieee.org/document/9252929.

Our patched Kernel is based on Kernel 4.13. That means you will need Ubuntu 14.04 or Ubuntu 16.04 to smoothly use our patched Kernel. As a side note, Ubuntu 16.04/14.04 are based on 4.X Kernels while Ubuntu 18.04/0.04 are based on 5.X ones.

1. Install Mahimahi (http://mahimahi.mit.edu/#getting)

   sudo apt-get install build-essential git debhelper autotools-dev dh-autoreconf iptables protobuf-compiler libprotobuf-dev pkg-config libssl-dev dnsmasq-base ssl-cert libxcb-present-dev libcairo2-dev libpango1.0-dev iproute2 apache2-dev apache2-bin iptables dnsmasq-base gnuplot iproute2 apache2-api-20120211 libwww-perl
   git clone https://github.com/ravinet/mahimahi 
   cd mahimahi
   ./autogen.sh && ./configure && make
   sudo make install
   sudo sysctl -w net.ipv4.ip_forward=1

2. Install iperf3

   sudo apt-get remove iperf3 libiperf0
   wget https://iperf.fr/download/ubuntu/libiperf0_3.1.3-1_amd64.deb
   wget https://iperf.fr/download/ubuntu/iperf3_3.1.3-1_amd64.deb
   sudo dpkg -i libiperf0_3.1.3-1_amd64.deb iperf3_3.1.3-1_amd64.deb
   rm libiperf0_3.1.3-1_amd64.deb iperf3_3.1.3-1_amd64.deb

3. Install Python, pip, and virtual environment

Source code requires Python 3.4, 3.5, or 3.6. Python 3.x is generally installed by default on Ubuntu.

Check Python version

python3 --version

Install pip3 and virtual environment

sudo apt update
sudo apt install python3-pip
sudo pip3 install -U virtualenv

Create a new virtual environment by choosing a Python interpreter and make ~/venv directory to hold it:

sudo mkdir ~/venv
virtualenv --system-site-packages -p python3 ~/venv

4. Install Tensorflow (CPU)

Activate the virtual environment and install Tensorflow (TF version used for this work is 1.14).

source ~/venv/bin/activate
pip install --upgrade pip
pip install --upgrade tensorflow

5. Install sysv_ipc 1.0.0

pip install sysv_ipc

Verify Installation

python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"

To deactivate venv

(venv) $ deactivate

cd linux
sudo dpkg -i linux-image*
sudo dpkg -i linux-header*
sudo reboot 

Use the following command to make sure that new kernel is installed:

uname -r

The output should be 4.13.1-0409. If not you need to bring the 4.13.1-0409 Kernel image on top of the grub list. For instance, you can use grub-customizer application. Install the grub-customizer using following:

sudo add-apt-repository ppa:danielrichter2007/grub-customizer sudo apt-get update sudo apt-get install grub-customizer sudo grub-customizer

To build the required applications, run the following:

./build.sh

All gathered traces including some from prior work is located at the folder named traces.

The trained models of TCP Cubic, BBR, Westwood, and Illinois used throughout the paper located in <models> folder.

cd models/
./setitup.sh

Here, we enable DeepCC for TCP Cubic and run a sample test over TMobile-LTE-driving trace:

./evaluate.sh 8000 cubic  

Results will be generated automatically in rl-module/log/* You can check out the summary of results in rl-module/log/results-deep-cubic*.tr file.