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Projecte ofert

Títol: Developing efficient O-RAN services using neural networks

Per assignar-vos el projecte us heu de dirigir al director/a perquè us l'assigni.


Departament: ENTEL

Títol: Developing efficient O-RAN services using neural networks

Data inici oferta: 08-02-2024     Data finalització oferta: 08-10-2024

Estudis d'assignació del projecte:
Tipus: Individual
Lloc de realització: Fora UPC    
        Supervisor/a extern: Raul Parada
        Institució/Empresa: CTTC
        Titulació del Director/a: Doctor
Paraules clau:
OpenRan, Green Networks, Neuronal Networks, machine learning
Descripció del contingut i pla d'activitats:
Exploring the paradigm of neural networks within the context of O-RAN (Open Radio Access Network) environments opens up exciting possibilities for applications in telecommunications and aerospace. In the field of telecommunications, characterized by the transmission of information through electromagnetic means, the demand for high-speed communication systems is ever-growing. Leveraging neural networks becomes paramount in crafting efficient and high-performance communication networks. The ideal candidate will delve into areas such as signal processing, artificial intelligence, and network optimization within O-RAN environments.
The aim of this undergratuated thesis project (TFG) is to reduce the carbon footprint from complex computational algorithms and provide eficient AI services from both users and operators.
We offer a valuable experience and the chance to collaborate with professionals in the industry. Our commitment to work-life balance is reflected in flexible working hours. The weekly dedication is of 20 hours. We expect you can join our team by Monday, February 18th, 2024.

We firmly believe this undergraduate thesis project will provide you with a unique learning experience and valuable skills that will contribute significantly to your future career.
We eagerly await your response!
Orientació a l'estudiant:
To excel in this role, candidates should possess the following skills and qualifications:
* Background in telecommunications, computer science, or a related field.
* Proficiency in programming languages such as Python, C++, and MATLAB.
* Familiarity with neural networks and related literature.
* Ability to work independently and collaboratively within a team.
* Excellent problem-solving and analytical skills.
* Strong communication skills.
Horari d'atenció a estudiants per a l'assignació de projecte:

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