Post Doc

**About the role**:
Your role is to carry out Post doc work on**:"Resource management and energy efficiency optimization for 6G RAN**" within the framework of a European project OCARINA.

**Context of the study**

Traditionally, resource management in the Radio Access Network (RAN) is done separately for radio (e.g., bandwidth, time) and computer (e.g., memory, storage, CPU) resources. This approach is adequate for conventional equipment, which allows a limited degree of freedom in its optimizations, where only a limited number of parameters can be adjusted at the SON (Self Organizing Network) level. In this post-doc, we will propose a unified control based on AI (Artificial Intelligence) of all the resources related to the RAN of the 6G network, including not only the radio and computer resources, but going beyond, in also considering network resources, data and energy.

**Scientific objective**

The objective of the post-doc is to exploit the full potential of AI to design and develop efficient management of 6G network resources. The work aims to jointly and effectively manage several RAN dimensions for purposes related to resource optimization and energy efficiency. A unified management of all types of resources (radio, computing, energy, data and network resources) will be implemented with a performance analysis of the impact of the AI solution in terms of sustainability (eg. cost, energy). Resource management and orchestration will be addressed by deploying an AI-native open radio architecture and optimizing 6G components.

**References**

[1] J. S. Pujol-Roig and al., "Deep Reinforcement Learning for cell on/off energy saving on Wireless Networks," in IEEE Globecom conference, 2021.

[2] M. Rasti et al., "Evolution toward 6G wireless networks: A resource management perspective," IEEE Wireless Communications, 2020.

[3] H. Tataria et al., “6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities”, Proceedings of the IEEE, 2021.

**About you**:
**Skills (scientific and technical) and personal qualities required by the position**

***:

- Strong skills and experience in Data Science
- Good knowledge of languages associated with Machine Learning techniques (R, Python, etc.)
- Solid knowledge of 3GPP cellular networks, including 5G and 6G networks
- Taste for research, initiative, curiosity, creativity and dynamism
- Ability to understand complex problems and propose solutions
- Rigor, strong analytical and synthesis skills

**Required training**:

- PhD in computer science, telecommunications or mathematics

**Experience**:

- experience in data analysis for the management of radio networks (and more particularly on the radio access network part)

**Additional information**:

- Modeling of 6G radio networks and technologies
- Development of AI/ML learning algorithms involving joint optimization of resources and energy
- Proofs of concept

The work of the post-doc may also allow participation in the O-RAN activity of the team around the RIC (RAN Intelligent Controller).

**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 740 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.

**Contract**:
Post Doc