Snabbfakta
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- France
Ansök senast: 2024-08-18
PhD "Energy Saving for Intent Based Management " M/ F
about the role
Your role is to perform PhD work on the topic: " Energy Saving for Intent Based Management "
Global context and problematic of the subject:
Thanks to digitalization in the industry and society, new markets will open for business services or more generally for what are called verticals (vehicles, health, etc.). The ability to divide the network into potentially isolated slices while benefiting from the economies of scale made possible using a shared infrastructure plays a key role in 5G, which sets it apart from previous mobile generations.
The challenge is to be able to make it easier to negotiate services in this context, via intent-based negotiation.
Indeed, while we are used to monitoring network performance and matching it to an expected level of QoS, for example, it is important to assess to what extent an intention is fulfilled and the necessary means to evaluate the quality of the intention's actuation. Moreover, intentions are not limited to performance issues. In [1], for example, the authors consider intention-based energy monitoring. The goal is to meet clients' needs in terms of energy efficiency described with natural language or intention.
However, Nowadays, operators are making considerable efforts to reduce their carbon footprint and energy consumption. There are tools that provide customers with an indication of the overall carbon footprint when using telecommunication services. However, the customer has no way of influencing the carbon footprint of telecommunication services (the customer is passive). Hence the interest in considering clients' needs in terms of energy efficiency.
Scientific objective – results and challenges:
The thesis aims to develop the mechanisms and solutions necessary to meet customer needs in terms of energy efficiency. In this PhD you:
References :
[1]Fred Aklamanu, Sabine Randriamasy, Eric Renault, Imran Latif, Abdelkrim Hebbar, Alberto Conte, Bilal Al Jamal, Warda Hamdaoui: Demo: Intent-Based 5G IoT Application Slice Energy Monitoring. Networking 2018: A5-A6
about you
Scientific, technical, and soft Skills:
• You have knowledge of network and service architecture.
• You have knowledge of machine learning and Generative AI.
• You have knowledge of data analysis.
• You have already worked on at least one of the following programming languages or technologies: python, pytorch, tensorflow, OpenAI/Gym, Keras, Scikit-Learn, stable baselines3.
• You are curious and you like innovation and research.
• You have a very good capacity for analysis and synthesis.
• You are fluent in technical English, read and written.
• You can communicate orally and in writing.
Training required : You hold a master's degree or an engineering degree in computer science.
Desired experiences: You have completed one or more research internships in the field of computer science, data science or AI.
additional information
- You will work on the latest advances in artificial intelligence.
- You will apply your AI knowledge on an industrial telecommunications environment.
- You participate in the collaborative project "INtent-driven exposure and automated service FULfillment and AssuraNCE (INFLUENCE)" in collaboration with several research laboratories (NOKIA, CNAM, etc.). The project deals with the issue of the translation and the assurance of customers’ intentions based on the Open Digital Architecture (ODA).
department
Orange Innovation brings together the research and innovation activities and expertise of the Group's entities and countries. We work every day to ensure that Orange is recognized as an innovative operator by its customers and we create value for the Group and the Brand in each of our projects. With 720 researchers, thousands of marketers, developers, designers and data analysts, it is the expertise of our 6,000 employees that fuels this ambition every day.
Orange Innovation anticipates technological breakthroughs and supports the Group's countries and entities in making the best technological choices to meet the needs of our consumer and business customers.
Within the Convergent Networks Control Department of Orange Labs Networks, and more specifically within the department in charge of architecture and automation, the “TEAM” team, made up of around ten experts, architects and research engineers, prepares for the arrival of new convergent networks – 5G and beyond – by focusing on network supervision and orchestration issues in the context of virtualization and full software.
contract
Thesis
