PhD : Aware Multi-Access Orchestration for Multimodal Uplink in 6G Environments

The evolution towards 6G is accompanied by an increasing integration of heterogeneous access technologies, including cellular and Wi-Fi networks, in order to meet the requirements of emerging critical applications. In this context, intelligent embedded devices (augmented cameras, connected sensors) generate multimodal data streams combining video, metadata derived from artificial intelligence algorithms, and information collected from surrounding objects.

These data streams exhibit heterogeneous constraints in terms of latency, reliability, throughput, and criticality, and must be transmitted in dynamic environments characterized by mobility, fluctuating connectivity, and the coexistence of multiple access technologies.

The objective of this PhD is to design multi-access orchestration mechanisms that dynamically adapt the use of different radio interfaces (Wi-Fi, 5G/6G), taking into account communication context, data characteristics, and application requirements. The work will focus on proposing models for multimodal data streams, adaptive transmission strategies, and their integration into a coherent system architecture.

Communication networks are evolving towards increasingly distributed and heterogeneous architectures. 6G aims in particular to natively integrate multiple radio access technologies, including non-cellular networks such as Wi-Fi, and to support critical applications in domains such as healthcare, public safety, and industry.

In this context, Canon is developing multimodal data capture and processing devices (smart cameras) that require efficient and adaptive communication solutions. These devices operate in diverse environments (indoor, outdoor, mobile scenarios) and face strong quality-of-service constraints.

Current multi-access management approaches are mainly based on network-level metrics and only partially consider the nature of the data and application requirements. There is therefore a need for new research to design more advanced mechanisms capable of integrating these dimensions.

This PhD is positioned at the intersection of communication networks, distributed systems, and multimodal data processing, with strong potential for both industrial and academic impact and the opportunity to participate in a collaborative 6G project of the Horizon Europe SNS (Smart Networks and Services) program.

CANON is known worldwide for its leading-edge imaging systems and solutions, combining technology innovation strategy with corporate responsibility.

CANON is an international and multicultural group, leading in its fields of activity, and distinguishing itself by the quality, reliability and innovation of its products.

CANON Research Center France, the CANON Group’s European Research Center, is developing innovative digital imaging, artificial intelligence and networking technologies to help develop innovative products for the CANON Group.

The PhD will be conducted in collaboration with IMT Atlantique, internationally recognized for the quality of its research, is a leading general engineering school under the aegis of the Ministry of Industry and Digital Technology, ranked in the three main international rankings (THE, SHANGHAI, QS).

The proposed thesis is part of the research activities of the team: EASE and of the laboratory IRISA and the department SRCD. The scientific activities of this department are related to the fields of communication networks and cybersecurity.

Master’s degree or engineering degree in networking, telecommunications or computer science.

You have a strong experience in programming (Python, C++) and communication networks (IP, wireless, 5G), fluent in English, and organizational and writing skills.

Beyond the technical skills, you know how to work independently or in a team for the common good and your curiosity and your taste for innovation is a key motivator to join our company.

Through its recruitment activities, Canon Research is pursuing a policy of diversity, professional equality, inclusion and retention in employment for workers with disabilities.