Communication and Computational Resource Allocation in Mobile Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00383628" target="_blank" >RIV/68407700:21230/25:00383628 - isvavai.cz</a>

Result on the web

<a href="https://gitlab.fel.cvut.cz/mobile-and-wireless/codes/public-software/resource-allocation" target="_blank" >https://gitlab.fel.cvut.cz/mobile-and-wireless/codes/public-software/resource-allocation</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Communication and Computational Resource Allocation in Mobile Networks

Original language description

This software implements a resource allocation framework for computational and communication resource allocation in software-defined mobile networks. It is built on the open-source platform OpenAirInterface (OAI), which serves as the foundation for 5G network emulation and experimentation. The developed solution introduces an additional control layer that dynamically manages network parameters and facilitates efficient resource distribution. This is achieved either through the reconfiguration of network function parameters or by enabling communication between a user equipment (UE) and edge/cloud computational units. The system supports real-time decision-making, allowing for adaptive allocation based on the network conditions and the UE demands. The core functionality is designed to be integrate seamlessly with the OAI stack, and extends OAI capabilities without modifying its core architecture. The implementation includes mechanisms for monitoring resource usage, applying allocation policies, and interfacing with external controllers via APIs. This enables application in scenarios with dynamic anvironment and QoS requirements and with support for latency-sensitive applications. software is suitable for various use cases inckuding edge computing offloading for autonomous vehicles, robots, machines, or humans. The software is intended for research and development purposes and can be deployed in testbeds and virtualized environments to evaluate novel algorithms in network slicing, MEC (Multi-access Edge Computing), and dynamic resource optimization within software-defined mobile networks infrastructures.

Czech name

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Czech description

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Type

R - Software

CEP classification

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OECD FORD branch

20203 - Telecommunications

Project

<a href="/en/project/LUASK22064" target="_blank" >LUASK22064: Predictive allocation of edge computing resources for autonomous driving</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID

Resource allocation

Technical parameters

The solution is based on a software-defined networking architecture and enables dynamic allocation of communication resources by modifying parameters such as targeted BLER, MCS, and PRB allocation. The API is implemented as a ROS node that communicates over a TCP connection. Due to the general-purpose nature of TCP communication, the network can be controlled from any script that meets the required message format. Detailed information are provided in git repository. The software is developed in C/C++ and Python and is compatible with the OpenAirInterface (OAI) platform for 5G network emulation. It has been tested on the Linux operating system (Ubuntu 22.04 distribution) and is optimized for execution in a Docker virtualized environment or on physical hardware. The software has been tested with UE devices (USRP B210/N310 and a 5G modem) as well as through simulation.

Economical parameters

The software is intended for research and experimental purposes in the fields of mobile networks, software-defined networking, and network automation. Its deployment reduces the costs of testing real-world scenarios without the need to operate commercial network infrastructure. Thanks to its open architecture and modular design, the software can be further extended or integrated into systems used by both academic and industrial partners. It enables the testing of algorithms for resource allocation, load balancing, and computation offloading without requiring investments in expensive laboratory or operational equipment. The software has the potential to serve as a support tool in the development of applications for edge computing, network planning, or QoS optimization in telecommunications infrastructures.

Owner IČO

68407700

Owner name

České vysoké učení technické v Praze / FEL / katedra telekomunikační techniky