PhD Position in Energy-Efficient QoE-Aware Beyond 5G Future Mobile Networks
il y a 4 semaines
Within 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 plethora of new applications that are known to be computing-intensive, bandwidth-greedy, and delay-sensitive, such as video streaming, virtual reality, gaming, autonomous driving, and video surveillance. The resource and energy consumption of these applications will depend on their demand and design but also on the way they are managed within the network.
Research ObjectivesThe goal of this PhD project is to explore the balance between energy consumption and quality of experience (QoE) in beyond 5G networks. We will focus on popular services such as gaming, virtual reality, web browsing, and video streaming. The project will involve designing an experimental framework to run these services in a controlled environment, measuring and analyzing the consumed energy and QoE at the application and user level. The aim is to understand the optimal configurations of both network and services that lead to the best possible gain: minimizing energy consumption without considerably losing in terms of end-user QoE.
MethodologyWe will use a machine learning and data-driven approach to establish the link between the requirements and needs of new applications in the context of B5G networks and the perceived QoE by end-users. The project will involve experimentation with an application in various network setups and loads, building models relating resource utilization to network traffic, and showcasing how these models can help better tune the network to efficiently utilize its resources and consumed energy without sacrificing end-user QoE.
Expected OutcomesThe expected outcomes of this project include the development of a methodology to collect data needed to estimate QoE, the establishment of a link between resource utilization and network traffic, and the identification of optimal configurations of both network and services that lead to the best possible gain in terms of energy consumption and QoE.
RequirementsThe recruited person will be in connection with Chadi Barakat, Frédéric Giroire, Joanna Moulierac, and Thierry Turletti. The project will be carried out on local platforms R2Lab and SophiaNode, and the upcoming Slices European platform. The recruited person will have access to vocational training and social security coverage.
BenefitsThe recruited person will benefit from subsidized meals, partial reimbursement of public transport costs, leave, possibility of teleworking, and flexible organization of working hours. The gross salary per month is 2100€ brut per month (year 1 & 2) and 2190€ brut per month (year 3).
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Technopole de Sophia Antipolis, France INRIA Temps pleinContext and Benefits of the PositionWithin 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 ProjectThe project aims to develop a methodology to...
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Technopole de Sophia Antipolis, France INRIA Temps pleinContext and Benefits of the PositionWithin the framework of a partnership between two Inria teams, COATI and DIANA, and the French National Research Agency (ANR), PEPR 5G, we are seeking a PhD candidate to work on a research project focused on energy-efficient QoE-aware beyond 5G future mobile networks.Mission and ObjectivesThe recruited person will be in...
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