Energy Optimization

This repository provides an energy optimization infrastructure for OAI5G-Radio Access Network (RAN) environment.
It integrates various components including performance-aware Energy Saver (paES) rApp and O1/VES adapters to create a modular, testable energy optimization stack aligned with O-RAN and SMO frameworks.

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🧱 paES System Architecture

The paES rApp monitors UE activity and manages gNB cell/RU transitions between sleep and active states via the O1 interface.

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📂 Submodules

This repository integrates the following Git submodules:

Submodule	Description
smo-ves	VES (VNF Event Stream) collector for SMO events
smo-o1	O1 interface handler for managing RAN elements
o1-adapter	Adapter layer for O1 interface communication
openairinterface5g	Fork of OpenAirInterface 5G stack for RAN testing
paES-rApp	rApp focused on performance-aware energy optimization in RAN

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🛠️ Installation and Setup Instructions

1. Clone the Repository with Submodules

$ git clone https://github.com/Energy-optimization/Energy-optimization#
$ cd Energy-optimization

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2. Install Submodules and Dependencies

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2.1 openairinterface5g

Follow the official OAI installation guide for complete build instructions.

Quick Start Example:

$ cd openairinterface5g
$ sudo apt update
$ sudo apt install -y build-essential cmake libboost-all-dev

Then follow the instructions in `openairinterface5g/README.md`.

To run the gnb config file along with telnet-o1 server, use the below command

$ sudo ./nr-softmodem -E -O ../../../targets/PROJECTS/GENERIC-NR-5GC/CONF/gnb.sa.band78.fr1.106PRB.usrpx310.conf --sa --telnetsrv --telnetsrv.shrmod o1

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2.2 o1-adapter

$ cd o1-adapter

• To install using Docker:

$ ./build-adapter.sh --adapter

• To configure and run the O1 adapter with the NetConf server:

$ ./start-adapter.sh

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2.3 smo-o1

$ cd smo-o1

Install and run the SDN controller:

$ ./sdnr.sh

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2.4 smo-ves

$ cd smo-ves

Follow the official documentation:
📎 https://github.com/o-ran-sc/smo-ves

This includes installation of:

• VES Collector
• InfluxDB Connector
• Grafana
• Additional dependencies

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2.5 paES-rApp

$ cd performance-aware-rApp

Run the Python script to transition the RU into a sleeping state:

$ python3 performance-aware-rApp.py

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📊 Power Measurement Data

Power consumption results are included in `docs/power_measurements.xlsx`.

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