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Technopole de Sophia Antipolis, France INRIA Temps pleinJob DescriptionWithin the framework of a partnership between Inria teams COATI and DIANA, and the French National Research Agency (ANR), PEPR 5G, we are seeking a PhD student to work on a research project focused on energy-efficient QoE-aware beyond 5G future mobile networks.Research ContextThe upcoming beyond 5G networks (B5G) will be enablers for a...
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PhD Position in Energy-Efficient Quality of Experience-Aware Beyond 5G Future Mobile Networks
Il y a 2 mois
In the context of a collaborative project with the PEPR 5G and next generation networks, involving a large number of French research laboratories working on networking, we are seeking a PhD researcher to explore the topic of energy-efficient quality of experience-aware beyond 5G future mobile networks.
Research ObjectivesThe main objective of this PhD project is to investigate the balance between energy consumption and quality of experience in beyond 5G networks. This will involve:
- Modelling the computing and network requirements of new applications in the context of B5G networks
- Establishing the link between application requirements and perceived quality of experience by end-users
- Developing machine learning and data-driven approaches to optimize network resource utilization and energy consumption
The PhD researcher will use a combination of theoretical and experimental approaches to achieve the research objectives. This will involve:
- Reviewing relevant literature on quality of service and quality of experience in B5G networks
- Designing and implementing an experimental framework to run services in a controlled environment
- Collecting and analyzing data on energy consumption and quality of experience
The expected outcomes of this PhD project include:
- A deeper understanding of the balance between energy consumption and quality of experience in B5G networks
- Development of machine learning and data-driven approaches to optimize network resource utilization and energy consumption
- Experimental validation of the proposed approaches
To be eligible for this PhD position, the candidate should have:
- Strong background in networking and computer science
- Programming skills in languages such as Python or C++
- Experience with machine learning and data analysis
- Good communication and teamwork skills
We offer a stimulating research environment, access to state-of-the-art facilities, and a competitive salary. The PhD researcher will also have the opportunity to collaborate with a large number of French research laboratories working on networking.
