This is a fork of srsRAN project that has been customized. it is better to use the original source!

srsRAN Project

The srsRAN Project is a complete 5G RAN solution, featuring an ORAN-native CU/DU developed by SRS.

The solution includes a complete L1/2/3 implementation with minimal external dependencies. Portable across processor architectures, the software has been optimized for x86 and ARM. srsRAN follows the 3GPP 5G system architecture implementing the functional splits between distributed unit (DU) and centralized unit (CU). The CU is further disaggregated into control plane (CU-CP) and user-plane (CU-UP).

See the srsRAN Project for information, guides and project news.

Build instructions and user guides - srsRAN Project documentation.

Community announcements and support - Discussion board.

Features and roadmap - Features.

Build Preparation

• Build tools:

  • cmake: https://cmake.org/

• Mandatory requirements:

  • libfftw: https://www.fftw.org/
  • libsctp: https://github.com/sctp/lksctp-tools
  • yaml-cpp: https://github.com/jbeder/yaml-cpp
  • PolarSSL/mbedTLS: https://www.trustedfirmware.org/projects/mbed-tls/
  • googletest: https://github.com/google/googletest/

You can install the build tools and mandatory requirements for some example distributions with the commands below:

Ubuntu 22.04

sudo apt-get install cmake make gcc g++ pkg-config libfftw3-dev libmbedtls-dev libsctp-dev libyaml-cpp-dev libgtest-dev

Fedora

sudo yum install cmake make gcc gcc-c++ fftw-devel lksctp-tools-devel yaml-cpp-devel mbedtls-devel gtest-devel

Arch Linux

sudo pacman -S cmake make base-devel fftw mbedtls yaml-cpp lksctp-tools gtest

The srsRAN Project supports split-8 and split-7.2 fronthaul. Split-8 fronthaul is supported via UHD for USRP devices:

• UHD: https://github.com/EttusResearch/uhd
  • See UHD documentation for installation instructions.

Build Instructions

Download and build srsRAN:

git clone https://github.com/srsran/srsRAN_Project.git
cd srsRAN_Project
mkdir build
cd build
cmake ..
make
make test

PHY layer tests use binary test vectors and are not built by default. To enable, see the docs.