PostPhD -Goal-Oriented Communications for Joint Control of Networks and IoT Applications F/M

about the role

The upcoming generation of mobile networks must support the smooth functioning of Industrial IoT (IIoT) systems, such as the real-time control of machinery, the distributed sensing and decision-making of autonomous vehicles, and robot collaboration, all while being energy-sober. Achieving this goal requires the development of a purpose-driven communications framework that enables the integrated management of both the wireless network and IIoT applications.

This postdoctoral research will focus on developing and optimizing a goal-oriented communications paradigm that ensures efficient resource allocation and adaptive traffic management, thereby enhancing sustainability and performance in industrial environments [1-2]. The objective is to design algorithms for the network controller that, being aware of the application goals, can optimally schedule and allocate resources. This involves selectively sampling data sources that have the highest impact on achieving the application goals. Techniques such as reinforcement learning and optimization theory will be used to develop these algorithms.

A key aspect of the research is to establish a coordinated decision-making framework between the network and application controllers. This will optimize resource allocation and application performance, ensuring that both controllers share and utilize relevant information effectively. Finally, the algorithms and mechanisms developed will be tested in lab environments to simulate low-speed vehicles in industrial settings.

Through this work, the postdoc will introduce innovative algorithms for goal-oriented network control, contributing to the efficiency and sustainability of industrial 6G networks. The implementation and testing of these solutions on a testbed composed of remotely controlled vehicles will validate their practical viability and effectiveness.

This postdoctoral research will play a crucial role in advancing the state-of-the-art in goal-oriented communications, specifically tailored for industrial 6G networks. By focusing on joint network and application optimization, adaptive traffic management, and scalable solutions, the research will contribute to the sustainability and performance of IIoT applications in industrial environments. The outcomes of this research will have significant implications for the future of industrial communications, paving the way for more efficient and goal-oriented 6G networks.

[1] Gündüz, Deniz, et al. “Beyond transmitting bits: Context, semantics, and task-oriented communications.” IEEE Journal on Selected Areas in Communications 41.1 (2022): 5-41.

[2] Salah Eddine Elayoubi and Eric Hardouin. “For an energy sober network that contributes to a sustainable society.” 2023 IEEE Future Networks World Forum (FNWF). IEEE, 2023.

about you

o PhD in telecommunications or applied mathematics

o Learning skills(reinforcement learning, Markov decision processes, …)

o Skills in modeling networks and systems(probabilities, random processes, queues, …)

o In-depth knowledge in the field of fixed and mobile networks (architectures and protocols, virtualization, SDN, 5G, quality of service management, resource allocation, etc.)

o Programming and IT development skills (Python, Matlab, C / C ++, …)

Fluency in written and oral English

additional information

The postdoctoral student will join Orange, an international group, expert in the information and communication technologies sector. In particular, he will join the MORE team made up of application and research engineers in applied mathematics and AI within the Data-AI department. This team is in charge of developing models and techniques to optimize the use of resources (in the broad sense) and to assess network performance. He/she will work in an international context and will have the opportunity to contribute to research projects with external partners from the academic and industrial environment.

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.

Within Innovation, you will be integrated into a research team at the forefront of innovation and expertise on the networks of the future.

MORE (Mathematical Models for Optimization and Performance Evaluation) team is responsible for research in applied mathematics and AI, to develop models and techniques for resource optimization and infrastructure performance evaluation network. Research activities are carried out to identify technological weaknesses and design analytical tools for the design and planning of these infrastructures.

contract

Post Doc

Read Full Description