PhD Position F/ M Uncoordinated Multi-User Wireless Communications
Contexte et atouts du poste
Inria is the French national research institute for digital science and technology. At Inria, more than 3900 researchers and engineers organized in 215 project-teams, most of which are shared with major research universities, explore new paths, often in an interdisciplinary manner and in collaboration with industrial partners to meet ambitious challenges. As a technological institute, Inria supports a diversity of innovation pathways, ranging from fundamental research to the creation of technological startups.
Inria’s Models and Algorithms for Reliable Communication Systems (MARACAS, Funding for this 3-year PhD position is available within the “Future Networks” national stimulus funding plan (PEPR).
Mission confiée
The offered position focuses on the design of waveforms and channel codes for uncoordinated wireless communications, with applications to future terrestrial (6G) and non-terrestrial (satellite, UAVs) networks. An emergent class of network traffic arises from connected devices (such as autonomous cars, environmental sensors, healthcare monitoring and delivery, smart watches, connected robots) with sporadic communication needs. The development on an unprecedented scale of such traffic —characterized by small packets, sent at unpredictable times, but with strong reliability requirements — pushes the limits of current designs since the mechanisms and protocols classically used to mitigate transmission collision between simultaneously active transmitters are not efficient in the regime of many users and small payloads. The successful candidate will contribute to the design of waveforms and forward-error correction codes for wireless systems with massive-scale over-the-air contention between uncoordinated radio devices.
Principales activités
The goal is to create efficient approaches (in terms of spectrum and energy use, as well as decoding computational complexity) while minimizing the protocol overhead. The design methodology will start with the design of a new theoretical framework relying on probability theory, tensor algebra, and information theory. In this framework, new joint code and modulation techniques will be introduced, and robust multi-user decoding algorithms leveraging message-passing will be developed.
The role will involve devising the mathematical representation of the involved waveforms, deriving analytical performance metrics, algorithmic development, as well as writing up scientific articles and presenting the results in academic conferences.
Compétences
Required skills:
Avantages
Rémunération
1st and 2nd year: 2 100 euros gross salary /month
3rd year: 2 190 euros gross salary / month